Posted by **TimMa** at Sept. 7, 2013

Publisher: Springer | 2007 | ISBN: 0387707840 | English | PDF | 364 pages | 3.15 Mb

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis. …

Posted by **Alexpal** at Sept. 12, 2006

55817

**Martin Bilodeau, David Brenner, «Theory of Multivariate Statistics»**

Springer | ISBN 0387987398 | 1999 Year | PDF | 1,65 Mb | 288 Pages

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.

Springer | ISBN 0387987398 | 1999 Year | PDF | 1,65 Mb | 288 Pages

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.

Posted by **interes** at March 4, 2016

English | 2015 | ISBN: 0415836662, 0415836654 | 814 pages | EPUB | 30 MB

Posted by **tanas.olesya** at Feb. 19, 2016

English | 12 Jun. 2001 | ISBN: 0805832106 | 626Pages | PDF | 10 MB

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches.

Posted by **step778** at Feb. 8, 2016

2005 | pages: 502 | ISBN: 1402034180 | PDF | 3,3 mb

Posted by **interes** at Feb. 4, 2016

English | 2015 | ISBN: 0415836662, 0415836654 | 814 pages | PDF | 6 MB

Posted by **fdts** at Dec. 28, 2015

by Wolfgang Karl Hardle, Zdenek Hlavka

English | 2007 | ISBN: 0387707840 | 364 pages | PDF | 5.21 MB

Posted by **ksveta6** at Nov. 14, 2015

2015 | ISBN: 3319140922 | English | 393 pages | PDF | 7 MB

Posted by **DZ123** at Aug. 29, 2015

English | 2007 | ISBN: 0940600692 | PDF | pages: 519 | 22,6 mb

Posted by **nebulae** at Aug. 12, 2015

English | ISBN: 3642360041 | 2015 | 388 pages | PDF | 7 MB