Essential Statistical Inference : Theory and Methods

Boos, Dennis D; Stefanski, Leonard a

ISBN 10: 1489987932 / ISBN 13: 9781489987938

Published by Springer, 2015

About this Item

Unread book in perfect condition. Seller Inventory # 23411387

Bibliographic Details

Title: Essential Statistical Inference : Theory and...

Publisher: Springer

Publication Date: 2015

Binding: Soft cover

Condition: As New

About this title

Synopsis:

A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.

Review:

"The book is aimed at Ph.D. students in statistics who have already taken some basic graduate level Mathematical Statistics course. It succeeded in being at the perfect level to be beneficial to every statistic student. To the theoretically minded student it brings an exposure to how applications motivates statistics while to the applied student it gives theoretically motivated understanding of why the methods work. It also contains explanation of numerical methods including some implementation in R." (Jan Hannig, Journal of Agricultural, Biological, and Environmental Statistics, February, 2015)

“Throughout this well written textbook, the authors engage the reader by marrying historical descriptions of central questions in classical statistics with modern techniques and approaches. ... The exercises at the end of each chapter are insightful and ideal for homework assignments. This book will surely become a widely used text for second-year graduate courses on inference, as well as an invaluable reference for statistical researchers.” (Russell T. Shinohara, The American Statistician, Vol. 68 (3), August, 2014)

“Essential statistical inference by Boos and Stefanski is an excellent book with appeal to advanced undergraduate and graduate students as well as researchers. ... An appropriate list of references is given at the end of the book. ... It is a welcome addition to the overcrowded statistical market and can be easily ranked as one of the best books, if not the best, on statistical inference (theory and methods).” (D. V. Chopra, Mathematical Reviews, August, 2014)

“This book is organised in five parts where the authors extensively present the roles of modelling in statistical inference (part 1), likelihood based methods (part 2), large sample approximations (part 3), methods for mis-specified likelihoods and partially defined models (part 4), and concludes with computation based methods (part 5). ... The book is written in an accessible manner for both undergraduates and researchers and it is a valuable resource and starting point for statistical inference.” (Irina Ioana Mohorianu, zbMATH, Vol. 1276, 2014)