Introduction to Empirical Processes and Semiparametric Inference - Springer Series in Statistics (Paperback)Michael R. Kosorok (author)
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Kosorok's brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.
Publisher: Springer-Verlag New York Inc.
Number of pages: 483
Weight: 759 g
Dimensions: 235 x 155 x 28 mm
Edition: Softcover reprint of hardcover 1st ed. 2008
From the reviews:
"Introduction to Empirical Processes and Semiparametric Inference is a very good combination of both the empirical processes and semiparametric theories. This is the first book of its kind....I agree with the author that this book is 'more of a textbook than a research monograph.' As the semiparametric inference is currently an extremely active research area in statistical research, the book will open the door for graduate students to identify significant future research potentials. In fact, this book contains the author's newest research result, the application of semiparametric method in microarray data analysis. This book can be used as a textbook for graduate students in statistics, biostatistics, and economics (econometrics). In fact, the contents of this book can be tailored for different courses."
"Generally, this is a great book on empirical processes and semiparametric methods. It should be on the must-read list for a serious statistician, biostatistician, or econometrician." (Biometrics, September 2008)
"The main focus of this book is to introduce empirical processes and semiparametric inference methods to researchers interested in developing inferential tools for relatively complicated mathematical or statistical modeling problems. ...The material is structured in a sensible way supporting the learning and understanding of useful and challenging techniques of empirical processes and semiparametric inference. The book could well be very helpful for those studying and applying these techniques." (International Statistical Review 2008,77,2)
"This book is an introduction to what is commonly called the modern theory of empirical processes - empirical processes indexed by classes of functions - and to semiparametric inference, and the interplay between both fields. ... This is clearly intended to be a book for the novice in empirical process theory and semiparametric inference. ... The main material is presented in a clearly arranged and logical order. ... will be useful to anybody who wants to learn about the modern theory of empirical processes and semiparametric inference." (Erich Hausler, Zentralblatt MATH, Vol. 1180, 2010)