Multivariate Analysis, Design of Experiments, and Survey Sampling - Info and Reading Options

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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 Protocols -- 6. 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 Criteria -- 14. 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 Approaches -- 22. Structure of Weighing Matrices of Small Order and Weight -- Appendix: The Publications of Jagdish N. Srivastava -- Index

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