Lecture Notes in Statistics

Nonparametric Goodness-of-Fit Testing Under Gaussian Models

Authors: Ingster, Yuri, Suslina, I.A.

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  • ISBN 978-0-387-21580-8
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Softcover 145,59 €
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Reviews

From the reviews:

"The book is self-contained, and the bibliography is very rich and in fact provides a comprehensive listing of references about minimax testing (something that heretofore had been missing from the field.) To get the best out of this book, the reader should be familiar with basic functional analysis, wavelet theory, and optimization for extreme problems…It is highly recommended to anyone who wants an introduction to hypothesis testing from the minimax approach–yet it is only a starting point, as Gaussian models are studied exclusively." Journal of the American Statistical Association, June 2004

"The book deals with nonparametric goodness-of-fit testing problems from the literature of the past twenty years. … It is a theoretical book with mathematical results … . The proofs of the theorems are very detailed and many details are in the appendix of more than one hundred pages." (N. D. C. Veraverbeke, Short Book Reviews, Vol. 24 (1), 2004)

"The present book is devoted to a modern theory of nonparametric goodness-of-fit testing. … The level of the book meets a quite high standard. The book will certainly be of interest to mathematical statisticians interested in the theory of nonparametric statistical interference, and also to specialists dealing with applied nonparametric statistical problems in signal detection and transmission, technical and medical diagnostics, and other fields." (Marie Huškova, Zentralblatt MATH, Vol. 1013, 2003)


Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-0-387-21580-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 145,59 €
price for Spain (gross)
  • ISBN 978-0-387-95531-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Nonparametric Goodness-of-Fit Testing Under Gaussian Models
Authors
Series Title
Lecture Notes in Statistics
Series Volume
169
Copyright
2003
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-387-21580-8
DOI
10.1007/978-0-387-21580-8
Softcover ISBN
978-0-387-95531-5
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XIV, 457
Number of Illustrations
1 b/w illustrations
Topics