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Probabilistic-statistical programs from “Applied Statistics”. (English. Russian original) Zbl 0705.62007
J. Sov. Math. 50, No. 3, 1643-1684 (1990); translation from Itogi Nauki Tekh., Ser. Teor. Veroyatn., Mat. Stat., Teor. Kibern. 26, 151-203 (1988).
See the review in Zbl 0684.62007.
MSC:
62-04 Software, source code, etc. for problems pertaining to statistics
Software:
AS 1; AS 10; AS 100; AS 101; AS 102; AS 103; AS 104; AS 105; AS 106; AS 107; AS 108; AS 109; AS 11; AS 110; AS 111; AS 112; AS 114; AS 115; AS 116; AS 117; AS 118; AS 119; AS 12; AS 120; AS 121; AS 122; AS 123; AS 124; AS 125; AS 126; AS 127; AS 128; AS 129; AS 13; AS 130; AS 131; AS 132; AS 133; AS 134; AS 135; AS 136; AS 137; AS 138; AS 139; AS 14; AS 140; AS 141; AS 142; AS 143; AS 144; AS 145; AS 147; AS 149; AS 15; AS 150; AS 151; AS 152; AS 153; AS 154; AS 155; AS 156; AS 157; AS 158; AS 159; AS 16; AS 160; AS 162; AS 163; AS 164; AS 165; AS 166; AS 167; AS 168; AS 169; AS 17; AS 170; AS 171; AS 172; AS 176; AS 177; AS 178; AS 179; AS 18; AS 180; AS 181; AS 182; AS 185; AS 186; AS 187; AS 188; AS 189; AS 19; AS 190; AS 191; AS 192; AS 193; AS 194; AS 195; AS 196; AS 198; AS 199; AS 2; AS 20; AS 200; AS 201; AS 202; AS 203; AS 204; AS 205; AS 206; AS 207; AS 208; AS 209; AS 21; AS 210; AS 211; AS 212; AS 213; AS 214; AS 215; AS 216; AS 217; AS 218; AS 219; AS 22; AS 220; AS 221; AS 222; AS 223; AS 227; AS 23; AS 24; AS 25; AS 26; AS 27; AS 28; AS 29; AS 3; AS 30; AS 31; AS 32; AS 33; AS 34; AS 35; AS 36; AS 37; AS 38; AS 39; AS 4; AS 40; AS 41; AS 42; AS 43; AS 44; AS 45; AS 46; AS 47; AS 48; AS 49; AS 5; AS 50; AS 51; AS 52; AS 53; AS 54; AS 55; AS 56; AS 57; AS 58; AS 59; AS 6; AS 60; AS 61; AS 62; AS 65; AS 66; AS 67; AS 68; AS 69; AS 7; AS 70; AS 71; AS 72; AS 73; AS 74; AS 75; AS 76; AS 77; AS 78; AS 79; AS 8; AS 80; AS 81; AS 82; AS 83; AS 84; AS 85; AS 86; AS 87; AS 88; AS 89; AS 9; AS 90; AS 91; AS 92; AS 93; AS 94; AS 95; AS 96; AS 97; AS 98; AS 99; ASA109; spatial
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References:
[1] M. Agha and M. T. Ibrahim, ?Algorithm AS 203. Maximum likelihood estimation of mixtures of distributions,? Appl. Statist.,33, No. 3, 327?332 (1984). · doi:10.2307/2347720
[2] D. F. Andrews and J. W. Tukey, ?Algorithm AS 61. Six-line plots,? Appl. Statist.,22, No. 2, 265?269 (1973). · doi:10.2307/2346933
[3] R. D. Armstrong and D. S. Kung, ?Algorithm AS 135. Min-max estimates for a linear multiple regression problem,? Appl. Statist.,28, No. 1, 93?100 (1979). · Zbl 0454.65090 · doi:10.2307/2346829
[4] R. D. Armstrong and Mabel Tam Kung, ?Algorithm AS 132. Least absolute value estimates for a simple linear regression problem,? Appl. Statist.,27, No. 3, 363?366 (1978). · Zbl 0437.62065 · doi:10.2307/2347181
[5] A. C. Atkinson and J. Whittaker, ?Algorithm AS 134. The generation of beta random variables with one parameter greater than and one parameter less than 1,? Appl. Statist.,28, No. 1, 90?93 (1979). · Zbl 0453.65001 · doi:10.2307/2346828
[6] J. Bacon-Shone, ?Algorithm AS 208. Fitting a multivariate logistic normal distribution by the method of moments,? Appl. Statist.,34, No. 1, 81?86 (1985). · doi:10.2307/2347891
[7] J. Bacon-Shone, ?Algorithm AS 210. Fitting five parameter Jonson SB curves by moments,? Appl. Statist.,34, No. 1, 95?100 (1985). · doi:10.2307/2347893
[8] R. J. Baker, ?Algorithm AS 112. Exact distributions derived from two-way tables,? Appl. Statist.,26, No. 2, 199?206 (1977). · doi:10.2307/2347038
[9] N. Balakrishnan, ?Algorithm AS 200. Approximating the sum of squares of normal scores,? Appl. Statist.,33, No. 2, 242?245 (1984). · doi:10.2307/2347458
[10] C. F. Banfield, ?Algorithm AS 102. Ultrametric distances for a single linkage dendrogram,? Appl. Statist.,25, No. 3, 313?315 (1976). · doi:10.2307/2347256
[11] C. F. Banfield and L. C. Bassill, ?Algorithm AS 133. A transfer algorithm for non-hierarchical classification,? Appl. Statist.,26, No. 2, 206?210 (1977). · doi:10.2307/2347039
[12] J. Baptista and M. C. Pike, ?Algorithm AS 115. Exact two-sided confidence limits for the odds ratio in 2\(\times\)2 table,? Appl. Statist.,26, No. 2, 214?220 (1977). · doi:10.2307/2347041
[13] J. Barnard, ?Algorithm AS 126. Probability integral of the normal range,? Appl. Statist.,27, No. 2, 197?198 (1978). · doi:10.2307/2346956
[14] L. Bayer and C. Cox, ?Algorithm AS 142. Exact tests of significance in binary regression models,? Appl. Statist.,28, No. 3, 319?324 (1979). · Zbl 0448.62035 · doi:10.2307/2347217
[15] J. D. Beasley and S. G. Springer, ?Algorithm AS 111. The percentage points of the normal distribution,? Appl. Statist.,26, No. 1, 118?121 (1977). · doi:10.2307/2346889
[16] F. K. Bedall and H. Zimmermann, ?Algorithm AS 143. The median-centre,? Appl. Statist.,28, No. 3, 325?328 (1979). · Zbl 0464.65100 · doi:10.2307/2347218
[17] R. T. Benn and S. Sidebottom, ?Algorithm AS 95. Maximum-likelihood estimation of location and scale parameters from grouped data,? Appl. Statist.,25, No. 1, 88?93 (1976). · doi:10.2307/2346536
[18] J. M. Bernardo, ?Algorithm AS 103. Psi (digamma) function,? Appl. Statist.,25, No. 3, 315?317 (1976). · doi:10.2307/2347257
[19] K. J. Berry, ?Algorithm AS 179. Enumeration of all permutations of multisets with fixed repetition numbers,? Appl. Statist.,31, No. 2, 169?173 (1982). · doi:10.2307/2347984
[20] D. J. Best and P. G. Gipps, ?Algorithm AS 71. The upper tail probabilities of Kendall’s tau,? Appl. Statist.,23, No. 1, 98?100 (1974). · Zbl 0292.62014 · doi:10.2307/2347062
[21] D. J. Best and D. E. Roberts, ?Algorithm AS 89. The upper tail probabilities of Spearman’s rho,? Appl. Statist.,24, No. 3, 377?379 (1975). · doi:10.2307/2347111
[22] D. J. Best and D. E. Roberts, ?Algorithm AS 91. The percentage points of the ?2 distribution,? Appl. Statist.,24, No. 3, 385?388 (1975). · doi:10.2307/2347113
[23] G. P. Bhattacharjee, ?Algorithm AS 32. The incomplete gamma integral,? Appl. Statist.,19, No. 3, 285?287 (1970). · doi:10.2307/2346339
[24] R. Bohrer, ?Algorithm AS 90. One-sided multi-variable inference,? Appl. Statist.,24, No. 3, 380?384 (1975). · doi:10.2307/2347112
[25] R. Bohrer, ?Algorithm AS 220. Operating characteristics of James-Stein and Efron-Morris estimators,? Appl. Statist.,35, No. 2, 226?232 (1986). · doi:10.2307/2347282
[26] R. Bohrer and W. Chow, ?Algorithm AS 122. Weights for one-sided multivariate inference,? Appl. Statist.,27, No. 1, 100?104 (1978). · Zbl 0436.62004 · doi:10.2307/2346250
[27] R. Bohrer, M. J. Schervish, and J. Sheft, ?Algorithm AS 184. Noncentral Studentized maximum and related multiple-t probabilities,? Appl. Statist.,31, No. 3, 309?317 (1982). · Zbl 0508.62004 · doi:10.2307/2348011
[28] J. M. Boyett, ?Algorithm AS 144. Random R\(\times\)C tables with given row and column totals,? Appl. Statist.,28, No. 3, 329?332 (1979). · Zbl 0431.62033 · doi:10.2307/2347219
[29] J. M. Bremner, ?Algorithm AS 123. Mixtures of beta distributions,? Appl. Statist.,27, No. 1, 104?109 (1978). · Zbl 0436.62003 · doi:10.2307/2346251
[30] G. Bril, R. Dykstra, C. Pillers, and T. Robertson, ?Algorithm AS 206. Isotonic regression in two independent variables,? Appl. Statist.,33, No. 3, 352?357 (1984). · doi:10.2307/2347723
[31] P. Brooker and J. P. Selby, ?Algorithm AS 92. The sample size for a distribution-free tolerance interval,? Appl. Statist.,24, No. 3, 388?390 (1975). · doi:10.2307/2347114
[32] M. B. Brown, ?Algorithm AS 116. The tetrachoric correlation and its asymptotic standard error,? Appl. Statist.,26, No. 3, 343?351 (1977). · doi:10.2307/2346985
[33] S. T. Buckland, ?Algorithm AS 214. Calculation of Monte-Carlo confidence intervals,? Appl. Statist.,34, No. 3, 296?301 (1985). · doi:10.2307/2347482
[34] J. Bukac, ?Algorithm AS 85. Critical values of the sign test,? Appl. Statist.,24, No. 2, 265?267 (1975). · doi:10.2307/2346577
[35] J. T. Casagrande, M. C. Pike, and P. G. Smith, ?Algorithm AS 129. The power function of the ?exact? test for comparing two binomial distributions,? Appl. Statist.,27, No. 2, 212?219 (1978). · Zbl 0432.62016 · doi:10.2307/2346959
[36] D. M. Charnock, ?Algorithm AS 150. Spectrum estimate for a counting process,? Appl. Statist.,29, No. 2, 211?214 (1980). · Zbl 0467.62079 · doi:10.2307/2986313
[37] D. M. Charnock, ?Algorithm AS 151. Spectral estimates for bivariate counting processes by sectioning the data,? Appl. Statist.,29, No. 2, 214?220 (1980). · Zbl 0467.62080 · doi:10.2307/2986314
[38] Lau Chi-Leung, ?Algorithm AS 147. A simple series for the incomplete gamma integral,? Appl. Statist.,29, No. 1, 113?114 (1980). · Zbl 0432.62002 · doi:10.2307/2346431
[39] P. J. Claringbold, ?Algorithm AS 22. The interaction algorithm,? Appl. Statist.,18, No. 3, 283?287 (1969). · doi:10.2307/2346591
[40] B. R. Clarke, ?Algorithm AS 194. An algorithm for testing goodness of fit of ARMA (P, Q) models,? Appl. Statist.,32, No. 3, 335?344 (1983). · Zbl 0538.62079 · doi:10.2307/2347966
[41] M. R. B. Clarke, ?Algorithm AS 41. Updating the sample mean and dispersion matrix,? Appl. Statist.,20, No. 2, 206?209 (1971). · doi:10.2307/2346477
[42] M. R. B. Clarke, ?Algorithm AS 163. A Given algorithm for moving from one linear model to another without going back to the data,? Appl. Statist.,30, No. 2, 198?203 (1981). · doi:10.2307/2346398
[43] M. R. B. Clarke, ?Algorithm AS 178. The Gauss-Jordan sweep operator with detection of collinearity,? Appl. Statist.,31, No. 2, 166?168 (1982). · doi:10.2307/2347983
[44] D. G. Clayton, ?Algorithm AS 46. Gram-Schmidt orthogonalization,? Appl. Statist.,20, No. 3, 335?338 (1971). · doi:10.2307/2346771
[45] B. E. Cooper, ?Algorithm AS 2. The normal integral,? Appl. Statist.,17, No. 2, 186?188 (1968). · doi:10.2307/2985683
[46] B. E. Cooper, ?Algorithm AS 3. The integral of Student’s t-distribution,? Appl. Statist.,17, No. 2, 189?190 (1968). · doi:10.2307/2985684
[47] B. E. Cooper, ?Algorithm AS 4. An auxiliary function for distribution integrals,? Appl. Statist.,17, No. 2, 190?192 (1968). · doi:10.2307/2985685
[48] B. E. Cooper, ?Algorithm AS 5. The integral of the noncentral t-distribution,? Appl. Statist.,17, No. 2, 193?194 (1968). · doi:10.2307/2985686
[49] B. E. Cooper, ?Algorithm AS 10. The use of orthogonal polynomials,? Appl. Statist.,17, No. 3, 283?287 (1968). · doi:10.2307/2985649
[50] B. E. Cooper, ?Algorithm AS 42. The use of orthogonal polynomials with equal x-values,? Appl. Statist.,20, No. 2, 209?213 (1971). · doi:10.2307/2346478
[51] G. W. Cran, ?Algorithm AS 149. Amalgamation of means in the case of simple ordering,? Appl. Statist.,29, 209?211 (1980). · Zbl 0467.62005 · doi:10.2307/2986312
[52] G. W. Cran, ?Algorithm AS 158. Calculation of the probabilities P(?, k) for the simply ordered alternative,? Appl. Statist.,30, No. 1, 85?91 (1981). · Zbl 0477.62060 · doi:10.2307/2346668
[53] G. W. Cran, K. J. Martin, and G. E. Thomas, ?Remark AS R 19 and algorithm AS 109. A remark on algorithms AS 63: The incomplete beta integral, AS 64: Inverse of the incomplete beta function ratio,? Appl. Statist.,26, No. 1, 111?114 (1977). · doi:10.2307/2346887
[54] S. W. Cunningham, ?Algorithm AS 24. From normal integral to deviate,? Appl. Statist.,18, No. 3, 290?293 (1969). · doi:10.2307/2346593
[55] R. B. Davies, ?Algorithm AS 155. The distribution of a linear combination of ?2 random variables,? Appl. Statist.,29, No. 3, 323?333 (1980). · Zbl 0473.62025 · doi:10.2307/2346911
[56] C. S. Davis and M. A. Stephens, ?Algorithm AS 128. Approximating the covariance matrix of normal order statistics,? Appl. Statist.,27, No. 2, 206?212 (1978). · Zbl 0438.62040 · doi:10.2307/2346958
[57] C. S. Davis and M. A. Stephens, ?Algorithm AS 192. Approximate percentage points using Pearson curves,? Appl. Statist.,32, No. 3, 322?327 (1983). · doi:10.2307/2347964
[58] A. M. Dean, ?Algorithm AS 224. Combining comonent designs to form a design with several orthogonal blocking factors,? Appl. Statist.,36, No. 2, 228?234 (1987). · Zbl 0619.62070 · doi:10.2307/2347556
[59] R. DerSimonian, ?Algorithm AS 221. Maximum likelihood estimation of a mixing distribution,? Appl. Statist.,35, No. 3, 302?309 (1986). · Zbl 0623.62038 · doi:10.2307/2348030
[60] M. E. Dewey, ?Algorithm AS 219. Height balanced trees,? Appl. Statist.,35, No. 2, 220?226 (1986). · doi:10.2307/2347281
[61] L. C. Dinneen and B. C. Blakesley, ?Algorithm AS 62. A generator for the sampling distribution of the Mann-Whitney U statistic,? Appl. Statist.,22, No. 2, 269?273 (1973). · doi:10.2307/2346934
[62] L. C. Dinneen and B. C. Blakesley, ?Algorithm AS 93. A generator for the null distribution of the Ansari-Bradley W statistic,? Appl. Statist.,25, No. 1, 75?81 (1976). · doi:10.2307/2346534
[63] D. Y. Downham, ?Algorithm AS 29. The runs up and down test,? Appl. Statist.,19, No. 2, 190?192 (1970). · doi:10.2307/2346558
[64] L. A. Escobar and W. Q. Mekker, Jr., ?Algorithm AS 218. Elements of the Fisher information matrix for the smallest extreme value distribution and censored data,? Appl. Statist.,35, No. 1, 80?86 (1986). · Zbl 0601.62126 · doi:10.2307/2347873
[65] R. W. Farebrother, ?Algorithm AS 79. Gram-Schmidt regression,? Appl. Statist.,23, No. 3, 470?476 (1974). · doi:10.2307/2347151
[66] R. W. Farebrother, ?Algorithm AS 104. BLUS residuals,? Appl. Statist.,25, No. 3, 317?322 (1976). · doi:10.2307/2347258
[67] R. W. Farebrother, ?Algorithm AS 153. Pan’s procedure for the tail probabilities of the Durbin-Watson statistic,? Appl. Statist.,29, No. 2, 224?227 (1980). · Zbl 0475.62044 · doi:10.2307/2986316
[68] R. W. Farebrother, ?Algorithm AS 204. The distribution of a positive linear combination of ?2 random variables,? Appl. Statist.,33, No. 3, 332?339 (1984). · doi:10.2307/2347721
[69] B. N. Flury and G. Constantine, ?Algorithm AS 211. The F-G diagonalization algorithm,? Appl. Statist.,34, No. 2, 177?183 (1985). · doi:10.2307/2347375
[70] A. Francik and J. Ko?cielniak, ?Algorithm AS 186. Fast algorithm of data permutation in discrete fast Fourier transform,? Appl. Statist.,31, No. 3, 327?330 (1982). · Zbl 0498.65064 · doi:10.2307/2348013
[71] P. R. Freeman, ?Algorithm AS 26. Ranking an array of numbers,? Appl. Statist.,19, No. 1, 111?113 (1970). · doi:10.2307/2346856
[72] P. R. Freeman, ?Algorithm AS 59. Hypergeometric probabilities,? Appl. Statist.,22, No. 1, 130?133 (1973). · doi:10.2307/2346322
[73] P. R. Freeman, ?Algorithm AS 145. Exact distribution of the largest multinomial frequency,? Appl. Statist.,28, No. 3, 333?336 (1979). · Zbl 0447.62018 · doi:10.2307/2347220
[74] E. L. Frome, ?Algorithm AS 73. Cross-spectrum smoothing via the finite Fourier transform,? Appl. Statist.,23, No. 2, 238?244 (1974). · doi:10.2307/2347012
[75] E. L. Frome, ?Algorithm AS 171. Fisher’s exact variance test for the Poisson distribution,? Appl. Statist.,31, No. 1, 67?71 (1982). · Zbl 0506.62018 · doi:10.2307/2347079
[76] G. Gardner, A. C. Harvey, and G. D. A. Phillips, ?Algorithm AS 154. An algorithm for exact maximum likelihood estimation of autoregressive-moving average models by means of Kaiman filtering,? Appl. Statist.,29, No. 3, 311?322 (1980). · Zbl 0471.62098 · doi:10.2307/2346910
[77] M. J. Garside, ?Algorithm AS 37. Inversion of a symmetric matrix,? Appl. Statist.,20, No. 1, 111?112 (1971). · Zbl 0223.05014 · doi:10.2307/2346644
[78] M. J. Garside, ?Algorithm AS 38. Best subset search,? Appl. Statist.,20, No. 1, 112?115 (1971). · doi:10.2307/2346645
[79] J. F. Gentleman, ?Algorithm AS 88. Generation ofNCR combinations by simulating nested FORTRAN DO loops,? Appl. Statist.,24, No. 3, 374?376 (1975). · doi:10.2307/2347110
[80] J. F. Gentleman, ?Algorithm AS 130. Moving statistics for enhanced scatter plots,? Appl. Statist.,27, No. 3, 354?358 (1978). · Zbl 0437.65112 · doi:10.2307/2347179
[81] W. M. Gentleman, ?Algorithm AS 75. Basic procedures for large, sparse or weighted linear least squares problems,? Appl. Statist.,23, No. 3, 448?454 (1974). · doi:10.2307/2347147
[82] E. R. Golder, ?Algorithm AS 98. The spectral test for the evaluation of congruential pseudo-random generators,? Appl. Statist.,25, No. 2, 173?180 (1976). · doi:10.2307/2346691
[83] J. C. Gower, ?Algorithm AS 1. Simulating multidimensional arrays in one dimension,? Appl. Statist.,17, No. 2, 180?185 (1968). · doi:10.2307/2985682
[84] J. C. Gower, ?Algorithm AS 18. Evaluation of marginal means,? Appl. Statist.,18, No. 2, 197?199 (1969). · doi:10.2307/2346268
[85] J. C. Gower, ?Algorithm AS 19. Analysis of variance for a factorial table,? Appl. Statist.,18, No. 2, 199?202 (1969). · doi:10.2307/2346269
[86] J. C. Gower, ?Algorithm AS 23. Calculation of effects,? Appl. Statist.,18, No. 3, 287?290 (1969). · doi:10.2307/2346592
[87] J. C. Gower, ?Algorithm AS 78. The mediancentre,? Appl. Statist.,23, No. 3, 466?470 (1974). · doi:10.2307/2347150
[88] J. C. Gower, ?Algorithm AS 82. The determinant of an orthogonal matrix,? Appl. Statist.,24, No. 1, 150?153 (1975). · doi:10.2307/2346722
[89] R. G. T. Grafton, ?Algorithm AS 157. The runs-up and runs-down tests,? Appl. Statist.,30, No. 1, 81?85 (1981). · Zbl 0465.65075 · doi:10.2307/2346667
[90] P. Griffiths and I. D. Hills (eds.), Applied Statistics Algorithms, Ellis Hoorwood Ltd., Chichester (1985).
[91] M. Haber, ?Algorithm AS 207. Fitting general log-linear model,? Appl. Statist.,33, No. 3, 358?362 (1984). · doi:10.2307/2347724
[92] S. J. Haberman, ?Algorithm AS 51. Log-linear fit for contingency tables,? Appl. Statist.,22, No. 1, 118?126 (1973). · doi:10.2307/2346320
[93] S. J. Haberman, ?Algorithm AS 57. Pritning multidimensional tables,? Appl. Statist.,22, No. 1, 118?126 (1973). · doi:10.2307/2346320
[94] W. Härdle, ?Algorithm AS 222. Resistant smoothing using the fast Fourier transform,? Appl. Statist.,36, No. 1, 104?111 (1987). · Zbl 0613.62053 · doi:10.2307/2347850
[95] J. A. Hartigan and M. A. Wong, ?Algorithm AS 136. A K-means clustering algorithm,? Appl. Statist.,28, No. 1, 100?108 (1978). · Zbl 0447.62062 · doi:10.2307/2346830
[96] P. M. Hartigan, ?Algorithm AS 217. Computation of the dip statistic to test for unimodality,? Appl. Statist.,34, No. 3, 320?325 (1985). · doi:10.2307/2347485
[97] A. C. Harvey and C. R. McKenzie, ?Algorithm AS 182. Finite sample prediction from ARIMA processes,? Appl. Statist.,31, No. 2, 180?187 (1982). · doi:10.2307/2347987
[98] D. M. Hawkins, ?Algorithm AS 72. Computing mean vectors and dispersion matrices in multivariate analysis of variance,? Appl. Statist.,23, No. 2, 234?238 (1974). · doi:10.2307/2347011
[99] M. J. R. Healy, ?Algorithm AS 6. Triangular decomposition of a symmetric matrix,? Appl. Statist.,17, No. 2, 195?197 (1968). · doi:10.2307/2985687
[100] M. J. R. Healy, ?Algorithm As 7. Inversion of a positive semi-definite symmetric matrix,? Appl. Statist.,17, No. 2, 198?199 (1968). · doi:10.2307/2985688
[101] M. J. R. Healy, ?Algorithm AS 180. A linear estimator of standard deviation in symmetrically trimmed normal samples,? Appl. Statist.,31, No. 2, 174?175 (1982). · doi:10.2307/2347985
[102] R. M. Heiberger, ?Algorithm AS 127. Generation of random orthogonal matrices,? Appl. Statist.,27, No. 2, 199?206 (1978). · Zbl 0433.65006 · doi:10.2307/2346957
[103] C. Herraman, ?Algorithm AS 11. Normalizing a symmetric matrix,? Appl. Statist.,17, No. 3, 287?288 (1968). · doi:10.2307/2985650
[104] C. Herraman, ?Algorithm AS 12. Sum of squares and products matrix,? Appl. Statist.,17, No. 3, 289?292 (1968). · doi:10.2307/2985651
[105] M. A. Hidiroglou and G. B. Gray, ?Algorithm AS 146. Construction of joint probability of selection for symmetric p.p.c. sampling,? Appl. Statist.,29, No. 1, 107?112 (1980). · Zbl 0449.62008 · doi:10.2307/2346430
[106] I. D. Hill, ?Algorithm AS 31. Operating characteristic and average sample size for binomial sequential sampling,? Appl. Statist.,19, No. 2, 197?203 (1970). · doi:10.2307/2346560
[107] I. D. Hill, ?Algorithm AS 39. Arrays with a variable number of dimensions,? Appl. Statist.,20, No. 1, 115?117 (1971). · doi:10.2307/2346646
[108] I. D. Hill, ?Algorithm AS 66. The normal integral,? Appl. Statist.,22, No. 3, 424?427 (1973). · doi:10.2307/2346800
[109] I. D. Hill, ?Algorithm AS 100. Normal-Johnson and Johnson-normal transformations,? Appl. Statist.,25, No. 2, 190?192 (1976). · doi:10.2307/2346693
[110] I. D. Hill, R. Hill, and R. L. Holder, ?Algorithm AS 99. Fitting Johnson curves by moments,? Appl. Statist.,25, No. 2, 180?189 (1976). · doi:10.2307/2346692
[111] I. D. Hill and R. Peto, ?Algorithm AS 35. Probabilities derived from finite populations,? Appl. Statist.,20, No. 1, 99?105 (1971). · doi:10.2307/2346642
[112] T. R. Hopkins, ?Algorithm AS 193. A revised algorithm for the spectral test,? Appl. Statist.,32, No. 3, 328?335 (1983). · Zbl 0526.65006 · doi:10.2307/2347965
[113] T. R. Hopkins, P. H. Welch, and J. Köllerström, ?Algorithm AS 188. Estimation of the order of dependence in sequences,? Appl. Statist.,32, No. 2, 185?196 (1983). · Zbl 0548.62006 · doi:10.2307/2347298
[114] J. R. M. Hosking, ?Algorithm AS 215. Maximum-likelihood estimation of the parameters of the generalized extreme-value distribution,? Appl. Statist.,34, No. 3, 301?310 (1985). · doi:10.2307/2347483
[115] B. Jones, ?Algorithm AS 156. Combining two component designs to form a row-and-column design,? Appl. Statist.,29, No. 3, 334?337 (1980). · doi:10.2307/2346912
[116] P. Kent, ?Algorithm AS 141. Inversion of a symmetric matrix in regression models,? Appl. Statist.,28, No. 2, 214?217 (1979). · doi:10.2307/2346751
[117] M. D. Krailo and M. C. Pike, ?Algorithm AS 196. Conditional multivariate logistic analysis of stratified case-control studies,? Appl. Statist.,33, No. 1, 95?103 (1984). · doi:10.2307/2347671
[118] W. J. Krzanowski, ?Algorithm AS 28. Transposing multiway structures,? Appl. Statist.,19, No. 1, 115?118 (1970). · doi:10.2307/2346858
[119] S. W. Lagakos and M. H. Kuhns, ?Algorithm AS 125. Maximum likelihood estimation for censored exponential survival data with covariates,? Appl. Statist.,27, No. 2, 190?197 (1978). · Zbl 0437.62093 · doi:10.2307/2346955
[120] V. K. Lagoo, ?Algorithm AS 25. Classification of means from analysis of variance,? Appl. Statist.,18, No. 3, 294?298 (1969). · doi:10.2307/2346594
[121] D. P. Laurie, ?Algorithm AS 175. Cramér-Wold factorization,? Appl. Statist.,31, No. 1, 86?93 (1982). · Zbl 0505.62081 · doi:10.2307/2347083
[122] B. L. Leathers, ?Algorithm AS 114. Computing the numerator of association when the data are ordered categories,? Appl. Statist.,26, No. 2, 211?213 (1977). · doi:10.2307/2347040
[123] B. L. Leathers, ?Algorithm AS 119. Tabulating sparse joint frequency distributions,? Appl. Statist.,26, No. 3, 364?368 (1977). · doi:10.2307/2346988
[124] B. L. Leathers, ?Algorithm AS 131. Tabulating frequency distributions for variables with structured code sets,? Appl. Statist.,27, No. 3, 359?362 (1978). · Zbl 0438.62089 · doi:10.2307/2347180
[125] Tze-San Lee, ?Algorithm AS 223. Optimum ridge parameter selection,? Appl. Statist.,36, No. 1, 112?118 (1987). · Zbl 0613.62092 · doi:10.2307/2347851
[126] F. B. Leech, ?Algorithm AS 33. Calculation of hypergeometric sample sizes,? Appl. Statist.,19, No. 3, 287?289 (1970). · doi:10.2307/2346340
[127] R. V. Lenth, ?Algorithm AS 226. Computing of hypergeometric sample sizes,? Appl. Statist.,36, No. 2, 241?244 (1987). · Zbl 0617.62025 · doi:10.2307/2347558
[128] B. Leventhal, ?Algorithm AS 107. Operating characteristics and average sampling number for a general class of sequential sampling plans,? Appl. Statist.,26, No. 1, 98?106 (1977). · doi:10.2307/2346885
[129] P. Lin Shang, ?Algorithm AS 185. Automatic model selection in contingency tables,? Appl. Statist.,31, No. 3, 317?326 (1982). · Zbl 0506.62039 · doi:10.2307/2348012
[130] P. Lin Shang and R. B. Bendel, ?Algorithm AS 213. Generation of population correlation matrices with specified eigenvalues,? Appl. Statist.,34, No. 2, 193?198 (1985). · doi:10.2307/2347377
[131] R. E. Lund, ?Algorithm AS 152. Cumulative hypergeometric probabilities,? Appl. Statist.,29, No. 2, 221?223 (1980). · doi:10.2307/2986315
[132] R. E. Lund and J. R. Lund, ?Algorithm AS 190. Probabilities and upper quantiles for the Studentized range,? Appl. Statist.,32, No. 2, 204?210 (1983). · doi:10.2307/2347300
[133] E. D. Lustbader and R. K. Stodola, ?Algorithm AS 160. Partial and marginal association in multidimensional contingence tables,? Appl. Statist.,30, No. 1, 97?105 (1981). · Zbl 0467.62049 · doi:10.2307/2346670
[134] R. R. Macdonald, ?Algorithm AS 201. Combined significance test of differences between conditions and ordinal predictions,? Appl. Statist.,33, No. 2, 245?248 (1984). · doi:10.2307/2347459
[135] G. MacKezie and M. O’Flaherty, ?Algorithm AS 173. Direct design matrix generation for balanced factorial experiments,? Appl. Statist.,31, No. 1, 74?80 (1982). · Zbl 0506.62060 · doi:10.2307/2347081
[136] K. L. Majunder and G. P. Bhattacharjee, ?Algorithm AS 63. The incomplete beta integral,? Appl. Statist.,22, No. 3, 409?411 (1973). · doi:10.2307/2346797
[137] K. L. Majunder and G. P. Bhattacharjee, ?Algorithm AS 64. Inverse of the incomplete beta function ratio,? Appl. Statist.,22, No. 3, 411?414 (1973). · doi:10.2307/2346798
[138] K. V. Mardia and P. J. Zemroch, ?Algorithm AS 80. Spherical statistics,? Appl. Statist.,24, No. 1, 144?146 (1975). · doi:10.2307/2346720
[139] K. V. Mardia and P. J. Zemroch, ?Algorithm AS 81. Circular statistics,? Appl. Statist.,24, No. 1, 147?150 (1975). · doi:10.2307/2346721
[140] K. V. Mardia and P. J. Zemroch, ?Algorithm AS 84. Measures of multivariate skewness and kurtosis,? Appl. Statist.,24, No. 2, 262?265 (1975). · doi:10.2307/2346576
[141] K. V. Mardia and P. J. Zemroch, ?Algorithm AS 86. The von Mises distribution function,? Appl. Statist.,24, No. 2, 267?272 (1975).
[142] N. W. A. Marsh, ?Algorithm AS 227. Efficient generation of all binary patterns by Gray counting,? Appl. Statist.,36, No. 2, 245?249 (1987). · doi:10.2307/2347559
[143] E. O. Martinson and M. A. Hamdan, ?Algorithm AS 87. Calculation of the polychoric estimate of correlation in contingency tables,? Appl. Statist.,24, No. 2, 272?278 (1975). · doi:10.2307/2346579
[144] N. S. Matloff, ?Algorithm AS 148. The jacknife,? Appl. Statist.,29, No. 1, 115?117 (1980). · Zbl 0432.62001 · doi:10.2307/2346432
[145] L. L. McDonald and H. R. Bauer, III, ?Algorithm AS 161. Critical regions of an unconditional nonrandomized test of homogeneity in 2\(\times\)2 contingency tables,? Appl. Statist.,30, No. 2, 182?189 (1981). · Zbl 0469.62042 · doi:10.2307/2346395
[146] C. A. McGilchrist, ?Algorithm AS 34. Sequential inversion of band matrices,? Appl. Statist.,19, No. 3, 290?292 (1970). · doi:10.2307/2346341
[147] M. L. McLaren, ?Algorithm AS 94. Coefficients of the zonal polynomials, Appl. Statist.,25, No. 1, 82?87 (1976). · doi:10.2307/2346535
[148] A. I. McLeod and P. R. H. Sales, ?Algorithm AS 191. An algorithm for approximate likelihood calculation of ARMA and seasonal ARMA models,? Appl. Statist.,32, No. 2, 211?223 (1983). · doi:10.2307/2347301
[149] K. McPherson, ?Algorithm AS 67. The evaluation of absorption probabilities in sequential binomial sampling,? Appl. Statist.,23, No. 1, 83?86 (1974). · doi:10.2307/2347058
[150] G. Mélard, ?Algorithm AS 197. A fast algorithm for the exact likelihood of autore-gressive-moving average models,? Appl. Statist.,33, No. 1, 104?114 (1984). · Zbl 0548.65098 · doi:10.2307/2347672
[151] D. M. Monro, ?Algorithm AS 83. Complex discrete fast Fourier transform,? Appl. Statist.,24, No. 1, 153?160 (1975). · doi:10.2307/2346723
[152] D. M. Monro, ?Algorithm AS 97. Real discrete fast Fourier transform,? Appl. Statist.,25, No. 2, 166?172 (1976). · doi:10.2307/2346690
[153] D. M. Monro and J. L. Branch, ?Algorithm AS 117. The Chirp discrete Fourier transform of general length,? Appl. Statist.,26, No. 3, 351?361 (1977). · doi:10.2307/2346986
[154] R. J. Moore, ?Algorithm AS 187. Derivatives of the incomplete gamma integral,? Appl. Statist.,31, No. 3, 330?335 (1982). · Zbl 0498.65007 · doi:10.2307/2348014
[155] S. C. Narula and M. M. Desu, ?Algorithm AS 101. Distribution-free confidence intervals,? Appl. Statist.,25, No. 3, 309?312 (1976). · doi:10.2307/2347255
[156] S. C. Narula and M. M. Desu, ?Algorithm AS 170. Omputation of probability and non-centrality parameter of a noncentral chi-squared distribution,? Appl. Statist.,30, No. 3, 349?352 (1981). · doi:10.2307/2346368
[157] S. C. Narula and J. F. Wellington, ?Algorithm AS 108. Multiple linear regression with minimum sum of absolute errors,? Appl. Statist.,26, No. 1, 106?111 (1977). · doi:10.2307/2346886
[158] H. R. Neave, ?Algorithm AS 124. Sample sizes for one-sided and strong two-sided distribution-free tolerance limits,? Appl. Statist.,27, No. 2, 188?189 (1978). · doi:10.2307/2346954
[159] J. A. Neider, ?Algorithm AS 8. Main effects from a multiway table,? Appl. Statist.,17, No. 3, 277?279 (1968). · doi:10.2307/2985647
[160] J. A. Neider, ?Algorithm AS 9. Construction of additive table,? Appl. Statist.,17, No. 3, 279?283 (1968). · doi:10.2307/2985648
[161] J. A. Neider, ?Algorithm AS 20. The coefficient formation of a triangular array with restricted storage data,? Appl. Statist.,18, No. 2, 203?206 (1969). · doi:10.2307/2346270
[162] J. A. Neider, ?Algorithm AS 96. A simple algorithm for scaling graphs,? Appl. Statist.,25, No. 1, 94?96 (1976). · doi:10.2307/2346537
[163] M. O’Flaherty and G. MacKenzie, ?Algorithm AS 172. Direct simulation of nested FORTRAN DO-LOOPS,? Appl. Statist.,31, No. 1, 71?74 (1982). · doi:10.2307/2347080
[164] R. O’Neill, ?Algorithm AS 47. Function minimization using a simplex procedure,? Appl. Statist.,20, No. 3, 338?345 (1971). · doi:10.2307/2346772
[165] R. E. Odeh, ?Algorithm AS 55. The generalized Mann-Whitney U-statistic,? Appl. Statist.,21, No. 3, 348?351 (1972). · doi:10.2307/2346292
[166] R. E. Odeh and J. O. Evans, ?Algorithm AS 70. The percentage points of the normal distribution,? Appl. Statist.,23, No. 1, 96?97 (1974). · doi:10.2307/2347061
[167] G. W. Oehlert, ?Algorithm AS 140. Clustering the nodes of a directed graph,? Appl. Statist.,28, No. 2, 206?214 (1979). · Zbl 0447.62063 · doi:10.2307/2346750
[168] M. Panneton and P. Robillard, ?Algorithm AS 54. Kendall’s S frequency distribution,? Appl. Statist.,21, No. 3, 345?348 (1972). · doi:10.2307/2346291
[169] W. M. Patefield, ?Algorithm AS 159. An efficient method of generating random R\(\times\)C tables with given row and column totals,? Appl. Statist.,30, No. 1, 91?97 (1981). · Zbl 0467.62050 · doi:10.2307/2346669
[170] R. Peto, ?Algorithm AS 56. Permutational significance testing,? Appl. Statist.,22, No. 1, 112?118 (1973). · doi:10.2307/2346319
[171] J. P. N. Phillips, ?Algorithm AS 48. Uncertainty function for a binary sequence,? Appl. Statist.,21, No. 1, 97?99 (1972). · doi:10.2307/2346620
[172] J. P. N. Phillips, ?Algorithm AS 49. Autocorrelation function for a binary sequence,? Appl. Statist.,21, No. 1, 100?103 (1972). · doi:10.2307/2346621
[173] M. C. Pike and D. Bull, ?Algorithm AS 69. Knox test for space-time clustering in epidemiology,? Appl. Statist.,23, No. 1, 92?95 (1974). · doi:10.2307/2347060
[174] C. Pillers, T. Robertson, and F. T. Wright, ?Algorithm As 198. The level probabilities of order restricted inference,? Appl. Statist.,33, No. 1, 115?119 (1984). · doi:10.2307/2347673
[175] B. D. Ripley, ?Algorithm AS 137. Simulating spatial patterns: Dependent samples from a multivariate density,? Appl. Statist.,28, No. 1, 109?112 (1979). · doi:10.2307/2346831
[176] S. J. Roberts, ?Algorithm AS 199. A branch and bound algorithm for determining the optimal feature subset of given size,? Appl. Statist.,33, No. 2, 236?241 (1984). · doi:10.2307/2347457
[177] J. H. Roger, ?Algorithm AS 40. Updating a minimum spanning tree,? Appl. Statist.,20, No. 2, 204?206 (1971). · doi:10.2307/2346476
[178] G. E. Rogers, ?Algorithm AS 65. Interpreting structure formulae,? Appl. Statist.,22, No. 3, 414?424 (1973). · doi:10.2307/2346799
[179] G. J. S. Ross, ?Algorithm AS 13. Minimum spanning tree,? Appl. Statist.,18, No. 1, 103?104 (1969). · doi:10.2307/2346450
[180] G. J. S. Ross, ?Algorithm AS 14. Printing the minimum spanning tree,? Appl. Statist.,18, No. 1, 105?106 (1969). · doi:10.2307/2346451
[181] G. J. S. Ross, ?Algorithm AS 15. Single linkage cluster analysis,? Appl. Statist.,18, No. 1, 106?110 (1969). · doi:10.2307/2346452
[182] J. P. Royston, ?Algorithm AS 177. Expected normal order statistics (exact and approximate),? Appl. Statist.,31, No. 2, 161?165 (1982). · doi:10.2307/2347982
[183] J. P. Royston, ?Algorithm AS 181. The W-test for normality,? Appl. Statist.,31, No. 2, 176?180 (1982). · doi:10.2307/2347986
[184] J. P. Royston, ?Algorithm AS 209. The distribution function of skewness and kurtosis,? Appl. Statist.,34, No. 1, 87?94 (1985). · doi:10.2307/2347892
[185] J. P. Royston, J. B. Webb, P. Griffiths, and I. D. Hill, ?The construction and description of algorithms,? Appl. Statist.,36, No. 1, 94?103 (1987). · doi:10.2307/2347849
[186] D. B. Rubin, T. W. F. Stroud, and D. Thayer, ?Algorithm AS 120. A FORTRAN algorithm for the additive model in two-way unbalanced MANOVA,? Appl. Statist.,27. No. 1, 92?97 (1978). · Zbl 0436.62005 · doi:10.2307/2346248
[187] A. N. Sadovski, ?Algorithm AS 74. L1-norma fit of a straight line,? Appl. Statist.,23, No. 2, 244?248 (1974). · doi:10.2307/2347013
[188] I. W. Saunders, ?Algorithm AS 205. Enumeration of R\(\times\)C tables with repeated row totals,? Appl. Statist.,33, No. 3, 340?352 (1984). · doi:10.2307/2347722
[189] M. J. Schervish, ?Algorithm AS 195. Multivariate normal probabilities with error bound,? Appl. Statist.,33, No. 1, 81?94 (1984). · Zbl 0547.65097 · doi:10.2307/2347670
[190] B. E. Schneider, ?Algorithm AS 121. Trigamma function,? Appl. Statist.,27, No. 1, 97?99 (1978). · doi:10.2307/2346249
[191] Neil C. Schwertman, ?Algorithm AS 174. Multivariate multisample nonparametric test,? Appl. Statist.,31, No. 1, 80?85 (1982). · Zbl 0506.62029 · doi:10.2307/2347082
[192] J. Sheil and I. O’Muircheartaigh, ?Algorithm AS 106. The distribution of nonnegative quadratic forms in normal variables,? Appl. Statist.,26, No. 1, 92?98 (1977). · doi:10.2307/2346884
[193] B. W. Silverman, ?Algorithm AS 176. Kernel density estimation using the fast Fourier transform,? Appl. Statist.,31, No. 1, 93?99 (1982). · Zbl 0483.62032 · doi:10.2307/2347084
[194] D. M. Smith, ?Algorithm AS 189. Maximum likelihood estimation of the parameters of the beta binomial distribution,? Appl. Statist.,32, No. 2, 196?204 (1983). · doi:10.2307/2347299
[195] P. G. Smith, M. C. Pike, A. P. Hill, M. E. Breslow, and N. E. Day, ?Algorithm AS 162. Multivariate conditional logistic analysis of stratum-matched case-control studies,? Appl. Statist.,30, No. 2, 190?197 (1981). · Zbl 0468.62093 · doi:10.2307/2346397
[196] W. B. Smith and R. R. Hocking, ?Algorithm AS 53. Wishart variate generator,? Appl. Statist.,21, No. 3, 341?345 (1972). · doi:10.2307/2346290
[197] D. N. Sparks, ?Algorithm AS 30. Half normal plotting,? Appl. Statist.,19, No. 2, 192?196 (1970). · doi:10.2307/2346559
[198] D. N. Sparks, ?Algorithm AS 44. Scatter diagram plotting,? Appl. Statist.,20, No. 3, 327?331 (1971). · doi:10.2307/2346769
[199] D. N. Sparks, ?Algorithm AS 45. Histogram plotting,? Appl. Statist.,20, No. 3, 332?335 (1971). · doi:10.2307/2346770
[200] D. N. Sparks, ?Algorithm AS 58. Euclidean cluster analysis,? Appl. Statist.,22, No. 1, 126?130 (1973). · doi:10.2307/2346321
[201] D. N. Sparks and A. D. Todd, ?Algorithm AS 60. Latent roots and vectors of symmetric matrix,? Appl. Statist.,22, No. 2, 260?265 (1973). · doi:10.2307/2346932
[202] C. C. Spicer, ?Algorithm AS 52. Calculation of power sums of deviations about the mean,? Appl. Statist.,21, No. 2, 226?227 (1972). · doi:10.2307/2346507
[203] V. A. Sposito, W. J. Kennedy, and J. E. Gentle, ?Algorithm AS 110. Lp norm fit of a straight line,? Appl. Statist.,26, No. 1, 114?118 (1977). · doi:10.2307/2346888
[204] W. D. Stirling, ?Algorithm AS 164. Least squares subject to linear constraints,? Appl. Statist.,30, No. 2, 204?212 (1981). · Zbl 0468.62062 · doi:10.2307/2346399
[205] W. D. Stirling, ?Algorithm AS 168. Scale selection and formating,? Appl. Statist.,30, No. 3, 339?344 (1981). · doi:10.2307/2346366
[206] W. D. Stirling, ?Algorithm AS 169. An improved algorithm for scatter plots,? Appl. Statist.,30, No. 3, 345?349 (1981). · doi:10.2307/2346367
[207] W. D. Stirling, ?Algorithm AS 212. Fitting the exponential curve by least squares,? Appl. Statist.,34, No. 2, 182?192 (1985).
[208] W. D. Stirling, ?Algorithm AS 216. Fitting models with a linear part and auxiliary parameters,? Appl. Statist.,34, No. 3, 310?319 (1985). · doi:10.2307/2347484
[209] E. Sturt, ?Algorithm AS 165. An algorithm to construct a discriminant function in FORTRAN for categorical data,? Appl. Statist.,30, No. 3, 313?325 (1981). · Zbl 0478.62049 · doi:10.2307/2346363
[210] A. V. Swan, ?Algorithm AS 16. Maximum likelihood estimation from grouped and censored normal data,? Appl. Statist.,18, No. 1, 110?114 (1969). · doi:10.2307/2346453
[211] A. V. Swan, ?Algorithm AS 17. The reciprocal of Mills’ ratio,? Appl. Statist.,18, No. 1, 115?116 (1969). · doi:10.2307/2346454
[212] M. A. Tanner, ?Algorithm AS 202. Data-based non-parametric hazard estimation,? Appl. Statist.,33, No. 2, 248?258 (1984). · Zbl 0561.62036 · doi:10.2307/2347460
[213] G. A. P. Taylor, ?Algorithm AS 27. The integral of Student’s t-distribution,? Appl. Statist.,19, No. 1, 113?114 (1970). · doi:10.2307/2346857
[214] R. P. Thayer and R. F. Storer, ?Algorithm AS 21. Scale selection for computer plots,? Appl. Statist.,18, No. 2, 206?208 (1969). · doi:10.2307/2346271
[215] D. G. Thomas, ?Algorithm AS 36. Exact confidence limits for the odds ratio in a 2\(\times\)2 table,? Appl. Statist.,20, No. 1, 105?110 (1971). · doi:10.2307/2346643
[216] D. G. Thomas, ?Algorithm AS 50. Tests of fit for a one-hit vs. two-hit curve,? Appl. Statist.,21, No. 1, 103?112 (1972). · doi:10.2307/2346622
[217] W. N. Venables, ?Algorithm As 77. Null distribution of the largest root statistic,? Appl. Statist.,23, No. 3, 458?465 (1974). · doi:10.2307/2347149
[218] N. Wermuth and E. Scheldt, ?Algorithm AS 105. Fitting a covariance selection model to a matrix,? Appl. Statist.,26, No. 1, 88?92 (1977). · doi:10.2307/2346883
[219] B. Westcott, ?Algorithm AS 118. Approximate rankits,? Appl. Statist.,26, No. 3, 362?364 (1977). · doi:10.2307/2346987
[220] B. A. Wichmann and I. D. Hill, ?Algorithm AS 183. An efficient and portable pseudorandom number generator,? Appl. Statist.,31, No. 2, 188?190 (1982). · doi:10.2307/2347988
[221] P. C. Wollan, ?Algorithm AS 225. Minimizing linear inequality constrained Machalanobis distances,? Appl. Statist.,36, No. 2, 234?240 (1987). · Zbl 0617.62082 · doi:10.2307/2347557
[222] M. S. Wolynetz, ?Algorithm AS 138. Maximum likelihood estimation from confined and censored normal data,? Appl. Statist.,28, No. 2, 185?195 (1979). · Zbl 0447.62034 · doi:10.2307/2346748
[223] M. S. Wolynetz, ?Algorithm AS 139. Maximum likelihood estimation in a linear model from confined and censored normal data,? Appl. Statist.,28, No. 2, 195?206 (1979). · Zbl 0447.62035 · doi:10.2307/2346749
[224] Working Party on Statistical Computing, ?The construction and description of algorithms,? Appl. Statist.,17, No. 2, 175?179 (1968). · doi:10.2307/2985681
[225] Working Party on Statistical Computing, ?The construction and description of algorithms,? Appl. Statist.,24, No. 3, 366?373 (1975). · doi:10.2307/2347109
[226] Working Party on Statistical Computing, ?The construction and description of algorithms,? Appl. Statist.,28, No. 3, 311?318 (1979). · doi:10.2307/2347216
[227] G. Wyshak, ?Algorithm AS 68. A program for estimating the parameters of the truncated negative binomial distribution,? Appl. Statist.,23, No. 1, 87?91 (1974). · doi:10.2307/2347059
[228] F. Yates, ?Algorithm AS 43. Variable format in FORTRAN,? Appl. Statist.,20, No. 2, 213?216 (1971). · doi:10.2307/2346479
[229] J. C. Young and C. E. Minder, ?Algorithm AS 76. An integral useful in calculating noncentral t and bivariate normal probabilities,? Appl. Statist.,23, No. 3, 455?457 (1974). · doi:10.2307/2347148
[230] P. J. Zemroch, ?Algorithm AS 166. Generation of polynomial contrasts for incomplete factorial designs with quantitative levels,? Appl. Statist.,30, No. 3, 325?333 (1981). · Zbl 0478.62061 · doi:10.2307/2346364
[231] P. J. Zemroch, ?Algorithm AS 167. Screening algorithm for experimental designs with quantitative levels,? Appl. Statist.,30, No. 3, 334?339 (1981). · Zbl 0478.62062 · doi:10.2307/2346365
[232] A. Zilinskas, ?Algorithm AS 133. Optimization of one-dimensional multimodal functions,? Appl. Statist.,27, No. 3, 367?375 (1978). · Zbl 0442.93059 · doi:10.2307/2347182
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