Self-Normalized Processes
Limit Theory and Statistical Applications
Autor:
Springer Nature EN
Verlag:
Springer Nature EN
Sprache:
English
From the reviews:
"Readership: Research workers in applied probability. … it serves as a reference text for a special-topic course for PhD students; each chapter after the first ends with a collection of problems and the material is based on such a course taught by two of the authors at Stanford and Hong kong. … It is a thorough … study of an area of applied probability that underlies important statistical methodology. … I am sure that the text will encourage others to join them in their work." (Martin Crowder, International Statistical Review, Vol. 77 (3), 2009)
"The monograph will certainly be of great use as a reference text for researchers working on corresponding problems, but also for Ph.D. and other advanced students who want to learn about the techniques and relevant topics in an interesting and active research area. … this monograph provides a very useful collection of recent and earlier research results in the theory and applications of self-normalized processes and can be used as a standard reference text by graduate students and researchers in the field." (Josef Steinebach, Zentralblatt MATH, Vol. 1165, 2009)
“This book covers recent developments on self-normalized processes, emphasizing important advances in the area. It is the first book that systematically treats the theory and applications of self-normalized processes. … In all aspects, this is an excellent book, and it is ideal for a second-year Ph.D. level topics course. It is also a great book for anyone who is interested in research in self-normalized processes and related areas.” (Fuchang Gao, Mathematical Reviews, Issue 2010 d)
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Untertitel
Limit Theory and Statistical Applications
ISBN
978-3-642-09926-7
EAN
9783642099267
Erscheinungsjahr
11/30/2010
Verlag
Springer Nature EN
Author
Peña, Victor H.;Lai, Tze Leung;Shao, Qi-Man
Sprache
English
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