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Statistics - Statistical Theory and Methods | Essential Statistical Inference - Theory and Methods (Reviews)

Essential Statistical Inference

Theory and Methods

Series: Springer Texts in Statistics, Vol. 120

Boos, Dennis D., Stefanski, Leonard A .

2013, XVII, 568 p. 34 illus.

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From the book reviews:

“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)

 

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