Theory of Multivariate Statistics

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Theory of Multivariate Statistics

Theory of Multivariate Statistics

Martin Bilodeau, David Brenner

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Presents the main results of the modern theory of multivariate statistics to those who would appreciate a concise and mathematically rigorous treatment.

Kategoriler:

Mathematics - Mathematical Statistics

Yıl:

1999

Baskı:

1

Yayımcı:

Springer

Dil:

english

Sayfalar:

308

ISBN 10:

0387987398

ISBN 13:

9780387987392

Seriler:

Springer Texts in Statistics

Dosya:

PDF, 1.66 MB

IPFS:

,

english, 1999

Online Oku

'e dönüştürme devam ediyor

dosyasına dönüştürme başarısız oldu

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Peter Bickel, Kjell Doksum — Mathematical Statistics Basic Ideas and Selected Topics Volume II

Hardle, Simar. — Applied Multivariate Statistical Analysis

Richard A. Johnson; Dean W. Wichern — Applied Multivariate Statistical Analysis - Instructor's Solutions Manual

Mardia K.V., Kent John T., Bibby John M. — Multivariate Analysis

Karen A. Randolph, Laura L. Myers — Basic Statistics in Multivariate Analysis

Barbara G. Tabachnick, Linda S. Fidell — Using Multivariate Statistics

Larry Wasserman — All of Nonparametric Statistics

Jun Shao — Mathematical statistics: exercises and solutions

Alan J. Izenman (auth.) — Modern multivariate statistical techniques: Regression, classification, and manifold learning

Neil H. Timm — Applied Multivariate Analysis

Jun Shao — Mathematical statistics

James O. Berger — Statistical decision theory and bayesian analysis

Ronald Christensen — Log-Linear Models and Logistic Regression

Debbie L. Hahs-Vaughn — Applied Multivariate Statistical Concepts

Brian J. Reich, Sujit K. Ghosh — Bayesian Statistical Methods

Sarma, K. V. S — Multivariate Statistics Made Simple A Practical Approach

Robb J. Muirhead — Aspects of multivariate statistical theory

Campbell B. Read, N. Balakrishnan, Brani Vidakovic, Samuel Kotz — Encyclopedia of Statistical Sciences

Samuel Kotz, N. Balakrishnan, Norman L. Johnson — Continuous multivariate distributions

T. W. Anderson — An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics)

Herbert A. David, H. N. Nagaraja — Order statistics

George A. F. Seber, Alan J. Lee — Linear Regression Analysis, 2nd edition (Wiley Series in Probability and Statistics)

Alvin C. Rencher — Multivariate statistical inference and applications

Norman L. Johnson, Samuel Kotz, N. Balakrishnan — Continuous Univariate Distributions, Vol. 2

Alvin C. Rencher, G. Bruce Schaalje — Linear Models in Statistics

Jan Beirlant, Yuri Goegebeur, Johan Segers, Jozef Teugels, Daniel De Waal, Chris Ferro — Statistics of Extremes: Theory and Applications

A.W. van der Vaart — Asymptotic Statistics

B. S. Everitt — The Cambridge Dictionary of Statistics

Koch I. — Analysis of Multivariate and High-Dimensional Data

Richard J. Harris — A primer of multivariate statistics

James P. Stevens — Applied Multivariate Statistics for the Social Sciences

A. Satorra, Risto D.H. Heijmans, D.S.G. Pollock, Albert Satorra — Applied Multivariate Statistical Analysis

Richard J. Harris — A Primer of Multivariate Statistics

Narayan C. Giri — Multivariate Statistical Analysis.

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Morris L. Eaton — Multivariate Sstatistics: A Vector Space Approach

Shayle R. Searle, Marvin H.J. Gruber — Linear Models

Paolella, Marc S — Linear models and time-series analysis : regression, ANOVA, ARMA and GARCH

Daniel J. Denis — Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science

Husson, François; Lê, Sébastien; Pagès, Jérôme — Exploratory Multivariate Analysis by Example Using R, Second Edition

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