AS 135 swMATH ID: 27918 Software Authors: Armstrong, Ronald D.; Kung, David S. Description: Algorithm AS 135: Min-max estimates for a linear multiple regression problem. Homepage: https://www.jstor.org/stable/2346829?origin=crossref&seq=1#page_scan_tab_contents Keywords: statistical algorithms; computer programs; estimation of parameters; confidence and tolerance intervals; nonparametric estimates; hypothesis testing; contingency tables; regression analysis; multivariate analysis; variance analysis; experimental design; time series; cluster analysis; order statistics; distributions; FFT; matrix algebra; generation of pseudo random numbers; graphics; diagrams Related Software: AS 191; AS 163; AS 130; AS 155; AS 170; AS 124; AS 222; AS 133; AS 94; AS 88; AS 101; AS 119; AS 114; AS 205; AS 209; AS 177; AS 199; AS 137; AS 108; AS 169 Cited in: 7 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Min-max estimates for a linear multiple regression problem. Zbl 0454.65090Armstrong, Ronald D.; Kung, David S. 1979 all top 5 Cited by 9 Authors 4 Armstrong, Ronald D. 2 Kung, David S. 1 Beck, Philip O. 1 Campi, Marco Claudio 1 Carè, Algo 1 Garatti, Simone 1 Narula, Subhash C. 1 Sklar, Michael G. 1 Wellington, John F. Cited in 5 Serials 3 Mathematical Programming 1 Automatica 1 Journal of Soviet Mathematics 1 Journal of the Royal Statistical Society. Series C 1 European Journal of Operational Research all top 5 Cited in 6 Fields 6 Statistics (62-XX) 4 Numerical analysis (65-XX) 4 Operations research, mathematical programming (90-XX) 2 Computer science (68-XX) 1 Approximations and expansions (41-XX) 1 Systems theory; control (93-XX) Citations by Year