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Statistical and computational issues in probability modeling. Part I and II. Proceedings of the conference, held in Williamsburg, Virginia, USA, at January 1985. Reprint of the journal Annals of Operations Research 8-9 (1987). (English) Zbl 0731.62004

Annals of Operations Research 8-9. Basel: J.C. Baltzer AG Scientific Publishing Company (ISBN 3-905135-26-4). 652 p. (1987).
[The articles of this volume will not be indexed individually.]
Contents: Part I. M. F. Neuts, Transform-free equations for the stationary waiting time distributions in the queue with Poisson arrivals and bulk services; S. Stidham, jun., Stable recursive procedures for numerical computations in Markov models; P. W. Glynn and D. L. Iglehart, A joint central limit theorem for the sample mean and regenerative variance estimator; D. P. Heyman, Asymptotic marginal independence in large networks of loss systems; M. Krakowski, The omni-transform in the renewal model and in single-channel queues; W. G. Marchal, An empirical extension of the M/G/1 heavy traffic approximation; M. R. Taaffe and K. L. Ong, Approximating nonstationary Ph(t)/M(t)/s/c queueing systems; K. Y. Jo, Decomposition approximation of queueing-network control models with tree structures; I. V. Basawa, Statistical forecasting for stochastic processes; U. N. Bhat, A sequential technique for the control of traffic intensity in Markovian queues; W. K. Grassmann, The asymptotic variance of a time average in a birth-death process; C. M. L. Kelton and W. D. Kelton, Comparison of hypothesis testing techniques for Markov processes estimated from micro versus macro data; M. E. Thompson, Uncertainty estimation for stochastic process parameters; J. Gani, A note on threshold theorems for epidemics with bunching; D. P. Gaver and J. P. Lehoczky, Statistical analysis of hierarchical stochastic models: Examples and approaches; M. F. Ramalhoto, Some statistical problems in random translations of stochastic point processes; J. J. Swain and B. W. Schmeiser, Monte Carlo estimation of the sampling distribution of nonlinear model parameter estimators; P. Heidelberger, R. D. Nelson and P. D. Welch, An application of interactive analysis and computer graphics in stochastic modeling; W.-L. Cao and W. J. Stewart, Queueing models, block Hessenberg matrices and the method of Neuts; A. Goyal, S. S. Lavenberg and K. S. Trivedi, Probabilistic modeling of computer system availability; M. L. Chaudhry, J. L. Jain and J. G. C. Templeton, Numerical analysis for bulk- arrival queueing systems: Root-finding and steady-state probabilities in \(GI^ r/M/1\) queues; U. Sumita and M. Kijima, Numerical exploration of a bivariate Lindley process via the bivariate Laguerre transform; K. P. White, jun., Response surface methodology as a means for efficient data storage and retrieval; R. A. Crovelli, Probability theory versus simulation of petroleum potential in play analysis.
Part II. H. L. Gray and W. A. Woodward, Improved ARMA spectral estimation; W. Smith and C. M. Harris, Fractionally differenced models for water quality time series; J. D. Petruccelli and S. W. Woolford, On a class of threshold AR(k) processes; J. Keilson, Robustness and exponentiality in redundant repairable systems; E. A. Elsayed and J. J. Norton, Machine interference in automated cells; L. Green and P. Kolesar, On the validity and utility of queueing models of human service systems; T. Altiok and H. G. Perros, Approximate analysis of arbitrary configurations of open queueing networks with blocking; S. B. Gershwin, Representation and analysis of transfer lines with machines that have different processing rates; D. D. Yao, Majorization and arrangement orderings in open queueing networks; D. I. Heimann and T. S. Glickman, Computing risk profiles for composite low-probability high- consequence events; N. K. Jaiswal, Probabilistic analysis of combat models; R. L. Smith and J. C. Naylor, Statistics of the three-parameter Weibull distribution; R. D. Foley and S. Suresh, Avionics reliability analysis; N. D. Singpurwalla, Relevance of the Bayesian paradigm for “applied probabilists”; E. J. Wegman, Computational relevance of the Bayesian paradigm: Discussion of Professor Singpurwalla’s paper; L. D. Broemeling, Relevance of the Bayesian paradigm for “applied probabilists”: Discussion of Professor Singpurwalla’s paper.

MSC:

62-06 Proceedings, conferences, collections, etc. pertaining to statistics
62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH)
62P99 Applications of statistics
60-06 Proceedings, conferences, collections, etc. pertaining to probability theory
60K25 Queueing theory (aspects of probability theory)
60K30 Applications of queueing theory (congestion, allocation, storage, traffic, etc.)
62M99 Inference from stochastic processes
00B25 Proceedings of conferences of miscellaneous specific interest
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