Average Reviews:
(More customer reviews)This book is very good. The motivation for the issues on nonparametric methods a excellent. The only reason why I haven't given it 5 stars is that I would like to see more precise proofs.
Click Here to see more reviews about: Smoothing Methods in Statistics (Springer Series in Statistics)
This book surveys the uses of smoothing methods instatistics. The coverage has an applied focus, and is very broad,including simple and complex univariate and multivariate densityestimation, nonparametric regression estimation, categorical datasmoothing, and applications of smoothing to other areas ofstatistics. The book will be of particular interest to data analysts,as arguments generally proceed from actual data rather thanstatistical theory. The "Background Material" sections will intereststatisticians studying the area of smoothing methods. The list of over750 references allows researchers to find the original sources formore details. The "Computational Issues" sections provide sources forstatistical software that implements the discussed methods, includingboth commercial and non-commercial sources. The book can also be usedas a textbook for a course in smoothing. Each chapter includesexercises with a heavily computational focus based upon the data setsused in the book."It is an excellent reference to the field and hasno rival in terms of accessibility, coverage, and utility." --Journalof the American Statistical Association "This book provides anexcellent overview of smoothing methods and concepts, presentingmaterial in an intuitive manner with many interesting graphics...Thisbook provides a handy reference for practicing statisticians and otherdata analysts. In addition, it is well organized as a classroomtextbook." --Technometrics
Buy cheap Smoothing Methods in Statistics (Springer Series in Statistics) now.
No comments:
Post a Comment