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Theory of Multivariate Statistics (Springer Texts in Statistics) 🔍
Martin Bilodeau, David Brenner Springer US, Springer Texts in Statistics, 1, 1999
英语 [en] · PDF · 2.0MB · 1999 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
Our object in writing this book is to present the main results of the modern theory of multivariate statistics to an audience of advanced students who would appreciate a concise and mathematically rigorous treatment of that material. It is intended for use as a textbook by students taking a first graduate course in the subject, as well as for the general reference of interested research workers who will find, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, as for instance robust inference (using adjusted likelihood ratio tests) and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.
Erscheinungsdatum: 05.08.1999
备用文件名
lgli/Springer.M.Bilodeau.D.Brenner.Theory.of.Multivariate.Statistics .pdf
备用文件名
lgrsnf/Springer.M.Bilodeau.D.Brenner.Theory.of.Multivariate.Statistics .pdf
备用文件名
zlib/Science (General)/Martin Bilodeau, David Brenner/Theory of Multivariate Statistics_542395.pdf
备选作者
Bilodeau, Martin, Brenner, David
备用出版商
Copernicus
备用出版商
Telos
备用版本
Springer texts in statistics, New York Berlin Heidelberg Barcelona Hong Kong London Milan Paris Singapore Tokyo, 1999
备用版本
Springer Nature (Textbooks & Major Reference Works), New York, 1999
备用版本
Springer texts in statistics, New York, New York State, 1999
备用版本
United States, United States of America
元数据中的注释
Springer -- 1
元数据中的注释
lg114195
元数据中的注释
{"edition":"1","isbns":["0387987398","9780387987392"],"last_page":308,"publisher":"Springer","series":"Springer Texts in Statistics"}
元数据中的注释
Includes bibliographical references (p. [263]-276) and indexes.
备用描述
<p><p>our Object In Writing This Book Is To Present The Main Results Of The Modern Theory Of Multivariate Statistics To An Audience Of Advanced Students Who Would Appreciate A Concise And Mathematically Rigorous Treatment Of That Material. It Is Intended For Use As A Textbook By Students Taking A First Graduate Course In The Subject, As Well As For The General Reference Of Interested Research Workers Who Will Find, In A Readable Form, Developments From Recently Published Work On Certain Broad Topics Not Otherwise Easily Accessible, As For Instance Robust Inference (using Adjusted Likelihood Ratio Tests) And The Use Of The Bootstrap In A Multivariate Setting. A Minimum Background Expected Of The Reader Would Include At Least Two Courses In Mathematical Statistics, And Certainly Some Exposure To The Calculus Of Several Variables Together With The Descriptive Geometry Of Linear Algebra.</p>
备用描述
This book presents the main results of the modern theory of multivariate statistics for those who need a concise yet mathematically rigorous treatment. Researchers will find it to be an indispensable reference, presenting developments from recent work on broad topics such as robust inference and the bootstrap in a multivariate setting. The treatment is novel and unique in several ways, and will be refreshing to those saturated in a lifetime of matrix derivatives and Jacobians.
开源日期
2009-08-06
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