Table of Contents: Chapter Availability
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Preface;
Section I - Likelihood Functions and Related Topics:
Chapter 1 - Likelihood Map and Minimal Sufficiency: The Intertwined Concepts; pp. 3-8 (Philip McDunnough and Amir Naderi);
Chapter 2 - Likelihood Principle and Randomization in Sample Survey; pp. 9-25 (M.E. Thompson);
Chapter 3 - A Note on the Computation of Expansions of Likelihood Roots; 27-33 (D.F. Andrews);
Chapter 4 - Approximation of Sample Space Derivatives; pp. 35-52 (Thomas A. Severini);
Chapter 5 - On the Use of a Parameter Dependent Group Structure for Inference; pp. 53-63 (IB M. Skovgaard, Torben Martinussen and Stina W. Andersen);
Chapter 6 - Normal Belief Functions and the Kalman Filter; pp. 65-84 (Arthur P. Dempster);
Chapter 7 - Conditional Distribution of the Signed Conditional Log Likelihood Ratio Statistic; pp. 85-91 (Jianrong Wu);
Chapter 8 - Box-Cox Transformations for Predictive Inference: A Sensitivity Analysis; pp. 93-117 (L. Thabane and Safiul Haq);
Chapter 9 - Modified Likelihood and Related Methods for Handling Nuisance Parameters in the Linear Regression Model; pp. 119-142 (Mizan R. Lasker and Maxwell L. King);
Section II Nonparametric Statistics and Related Topics:
Chapter 10 - Computing the Exact Distribution for a Multi-way Contingency Table Conditional on its Marginal Totals; pp. 145-165 (Stephen E. Fienberg, Udi E. Makov, Michael M. Meyer and Russell J. Steele);
Chapter 11 - Point-And Interval Estimators for Non Parametric Treatment Effects in Designs with Repeated Measures; pp. 167-177 (Edgar Brunner and Madan L. Puri);
Chapter 12 - Simultaneous R–Estimation of Multivariate Locations: Subspace Hypothesis; pp. 179-193 (A.K.Md. Ehsanes Saleh);
Chapter 13 - Estimating a Polynomial Regression with Measurement Errors in the Structural and in the Functional Case -- A Comparison; pp. 195-205 (Hans Schneeweiss and Thomas Nittner);
Chapter 14 - The Complete Convergence Rates of the Bootstrap Mean; pp. 207-213 (S.E. Ahmed and A.I. Volodin);
Section III Design of Experiments and Sampling:
Chapter 15 - Towards Robust Analysis of Variance; pp. 217-244 (Allan M. Seheult and John W. Tukey)
Chapter 16 - Stratified Sampling with Spherically Symmetric Importance Samplers; pp. 245-256 (Michael Evans and Tim Swartz);
Chapter 17 - The Role of Experimental Statistics; pp. 257-274 (Rudolf Beran);
Section IV Bayes, Empirical Bayes and Decision Theory:
Chapter 18 - Interval Estimation of the Common Mean of Several Normal Populations: A Bayes--Frequentist Synthesis; pp. 277-294 (Malay Ghosh and Yeong-Hwa Kim);
Chapter 19 - Recentred Confidence Sets: A Review; pp. 295-308 (Christian Robert and A.K.Md.E. Saleh);
Chapter 20 - Posterior Propriety in Some Hierarchical Exponential Family Models; pp. 309-317 (Edward I. George and Zuoshun Zhang);
Chapter 21 - Bayesian Estimation of Mean Parameter in a Power Distribution; pp. 319-327 (M. Masoom Ali, Jungsoo Woo and GI-Ern Yoon);
Chapter 22 - Asymptotically Minimum Risk Equivariant Estimators; pp. 329-343 (Jana Jureckova and Pranab Kumar Sen);
Section V Other Inference Related topics:
Chapter 23 - First Passage Distributions in Semi-Markov Processes and Their Saddlepoint Approximation'; pp. 347-368 (Ronald W. Butler);
Chapter 24 - The Use of Potential Functions in Modelling Animal Movement; pp. 369-386 (D.R. Brillinger, H.K. Preisler, A.A. Ager and J.G. Kie);
Chapter 25 - Multivariate One-Sided Tests; pp. 387-401 (Muni S. Srivastava);
Curriculum Vitae
Index |