Cover; Half Title; Title Page; Copyright Page; Preface; Contents; Contributors; Jagdish N. Srivastava: Life and Contributions of a Statistician, a Combinatorial Mathematician, and a Philosopher; 1. Sampling Designs and Prediction Methods for Gaussian Spatial Processes; 2. Design Techniques for Probabilistic Sampling of Items with Variable Monetary Value; 3. Small Area Estimation: A Bayesian Perspective; 4. Bayes Sampling Designs for Selection Procedures.

5. Cluster Coordinated Composites of Diverse Datasets on Several Spatial Scales for Designing Extensive Environmental Sample Surveys: Prospectus on Promising Protocols6. Corrected Confidence Sets for Sequentially Designed Experiments: Examples; 7. Resampling Marked Point Processes; 8. Graphical Markov Models in Multivariate Analysis; 9. Robust Regression with Censored and Truncated Data; 10. Multivariate Calibration; 11. Some Consequences of Random Effects in Multivariate Survival Models; 12. A Unified Methodology for Constructing Multivariate Autoregressive Models.

13. Statistical Model Evaluation and Information Criteria14. Multivariate Rank Tests; 15. Asymptotic Expansions of the Distribution of Some Test Statistics for Elliptical Populations; 16. A Review of Variance Estimators with Extensions to Multivariate Nonparametric Regression Models; 17. On Affine Invariant Sign and Rank Tests in One- and Two-Sample Multivariate Problems; 18. Correspondence Analysis Techniques; 19. Growth Curve Models; 20. Dealing with Uncertainties in Queues and Networks of Queues: A Bayesian Approach.

21. Optimal Bayesian Design for a Logistic Regression Model: Geometric and Algebraic Approaches22. Structure of Weighing Matrices of Small Order and Weight; Appendix: The Publications of Jagdish N. Srivastava; Index.

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