Mathematical Statistics: Exercices and Solutions

Jun Shao

360 pages, parution le 17/08/2005

Ajouter à une liste

Indisponible

Résumé

This book consists of solutions to four hundred exercises, over 95% of which are in the author's Mathematical Statistics. That textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics.

On the other hand, this is a stand-alone book, since exercises and solutions are comprehensible independently of their source. Many solutions involve standard exercises that appear in other textbooks listed in the references. To help readers not using this book with Mathematical Statistics, lists of notation, terminology, and some probability distributions are given in the front of the book.

Readers are assumed to have a good knowledge in advanced calculus. A course in real analysis or measure theory is highly recommended. If this book is used with a statistics textbook that does not include probability theory, then knowledge in measure-theoretic probability theory is required. The exercises are grouped into seven chapters with titles matching those in Mathematical Statistics.

Sommaire

Preface
Notation
Terminology
Some Distributions
Probability Theory
Fundamentals of Statistics
Unbiased Estimation
Estimation in Parametric Models
Estimation in Nonparametric Models
Hypothesis Tests
Confidence Sets
References
Index

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Jun Shao
Parution	17/08/2005
Nb. de pages	360
Format	15,5 x 23,5
Couverture	Broché
Poids	557g
Intérieur	Noir et Blanc
EAN13	9780387249704
ISBN13	978-0-387-24970-4