Essential Statistical Inference Theory and Methods /

• Main Authors: Boos, Dennis D. (Author), Stefanski, L. A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Springer Texts in Statistics, 120
• Subjects: Statistics.; Mathematical statistics.; Statistical Theory and Methods.; Statistics, general.; Statistics and Computing/Statistics Programs.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4818-1

This book is for students and researchers who have had a first year graduate level mathematical�statistics course. �It covers classical likelihood, Bayesian, and permutation inference;�an introduction to basic asymptotic distribution theory; and modern topics like M-estimation,�the jackknife, and th...

Table of Contents:

• Roles of Modeling in Statistical Inference.-�Likelihood Construction and Estimation.-�Likelihood-Based Tests and Confidence Regions.-�Bayesian Inference.-�Large Sample Theory: The Basics.-�Large Sample Results for Likelihood-Based Methods.-�M-Estimation (Estimating Equations).-�Hypothesis Tests under Misspecification and Relaxed�Assumptions .-�Monte Carlo Simulation Studies .-�Jackknife.-�Bootstrap.-�Permutation and Rank Tests.-�Appendix: Derivative Notation and Formulas.-�References.-�Author Index.-�Example Index
• R-code Index
• Subject Index.�.