Some Contributions to the Theory of Univariate and Multivariate Statistical Analysis
Author: Govind Shrikrishna Mudholkar
Publisher:
Published: 1963
Total Pages: 104
ISBN-13:
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Author: Govind Shrikrishna Mudholkar
Publisher:
Published: 1963
Total Pages: 104
ISBN-13:
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Publisher:
Published: 1938
Total Pages:
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DOWNLOAD EBOOKAuthor: Garland Dean Kyle
Publisher:
Published: 1948
Total Pages: 368
ISBN-13:
DOWNLOAD EBOOKAuthor: William Gregory MADOW
Publisher:
Published: 1938
Total Pages:
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DOWNLOAD EBOOKAuthor: William Gregory Madow
Publisher:
Published: 1938
Total Pages:
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DOWNLOAD EBOOKAuthor: Sam Kash Kachigan
Publisher:
Published: 1986
Total Pages: 616
ISBN-13:
DOWNLOAD EBOOKThis classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping, and more. It closes the gap between spiraling technology and its intelligent application, fulfilling the potential of both.
Author: D. G. Kabe
Publisher:
Published: 1964
Total Pages: 120
ISBN-13:
DOWNLOAD EBOOKAuthor: Arjun K. Gupta
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 392
ISBN-13: 9401706530
DOWNLOAD EBOOKThe death of Professor K.C. Sreedharan Pillai on June 5, 1985 was a heavy loss to many statisticians all around the world. This volume is dedicated to his memory in recog nition of his many contributions in multivariate statis tical analysis. It brings together eminent statisticians Working in multivariate analysis from around the world. The research and expository papers cover a cross-section of recent developments in the field. This volume is especially useful to researchers and to those who want to keep abreast of the latest directions in multivariate statistical analysis. I am grateful to the authors from so many different countries and research institutions who contributed to this volume. I wish to express my appreciation to all those who have reviewed the papers. The list of people include Professors T.C. Chang, So-Hsiang Chou, Dipak K. Dey, Peter Hall, Yu-Sheng Hsu, J.D. Knoke, W.J. Krzanowski, Edsel Pena, Bimal K. Sinha, Dennis L. Young, Drs. K. Krishnamoorthy, D.K. Nagar, and Messrs. Alphonse Amey, Chi-Chin Chao and Samuel Ofori-Nyarko. I wish to thank Professors Shanti S. Gupta and James 0. Berger for their keen interest and encouragement. Thanks are also due to Cynthia Patterson for her help and Reidel Publishing Com~any for their cooperation in bringing this volume out.
Author: James M. Lattin
Publisher: Duxbury Press
Published: 2003
Total Pages: 556
ISBN-13: 9780534349745
DOWNLOAD EBOOKOffering the latest teaching and practice of applied multivariate statistics, this text is perfect for students who need an applied introduction to the subject. Lattin, Carroll, and Green have created a text that speaks to the needs of applied students who have advanced beyond the beginning level, but are not advanced statistics majors. The text provides a three-part structure. First, the authors begin each major topic by developing students' statistical intuition through applications. Then, they providing illustrative examples for support. Finally, for those courses where it will be valuable, they describe relevant mathematical underpinnings with vectors and matrix algebra. Additionally, each chapter follows a standard format. This format begins by discussing a general set of research objectives, followed by illustrative examples of problems in different areas. Then it provides an explanation of how each method works, followed by a sample problem, application of the technique, and interpretation of results.
Author: D. M. Hawkins
Publisher: Cambridge University Press
Published: 1982-04-22
Total Pages: 384
ISBN-13: 9780521243681
DOWNLOAD EBOOKMultivariate methods are employed widely in the analysis of experimental data but are poorly understood by those users who are not statisticians. This is because of the wide divergence between the theory and practice of multivariate methods. This book provides concise yet thorough surveys of developments in multivariate statistical analysis and gives statistically sound coverage of the subject. The contributors are all experienced in the theory and practice of multivariate methods and their aim has been to emphasize the major features from the point of view of applicability and to indicate the limitations and conditions of the techniques. Professional statisticians wanting to improve their background in applicable methods, users of high-level statistical methods wanting to improve their background in fundamentals, and graduate students of statistics will all find this volume of value and use.