Multiple Decision Procedures

Multiple Decision Procedures
Author: Shanti S. Gupta
Publisher: SIAM
Total Pages: 592
Release: 2002-01-01
Genre: Mathematics
ISBN: 0898715326

An encyclopaedic coverage of the literature in the area of ranking and selection procedures. It also deals with the estimation of unknown ordered parameters. This book can serve as a text for a graduate topics course in ranking and selection. It is also a valuable reference for researchers and practitioners.

Handbook of Sequential Analysis

Handbook of Sequential Analysis
Author: B.K. Ghosh
Publisher: CRC Press
Total Pages: 672
Release: 1991-04-24
Genre: Mathematics
ISBN: 9780824784089

Sequential analysis refers to the body of statistical theory and methods where the sample size may depend in a random manner on the accumulating data. A formal theory in which optimal tests are derived for simple statistical hypotheses in such a framework was developed by Abraham Wald in the early 1

Contributions to Stochastics

Contributions to Stochastics
Author: Sendler
Publisher: Springer Science & Business Media
Total Pages: 265
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642468934

Since the contributions to this volume stem from very different fields, no attempt was made to find a systematic ordering. All results are new in so far as they have not been published so far.

Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Advances in Ranking and Selection, Multiple Comparisons, and Reliability
Author: N. Balakrishnan
Publisher: Springer Science & Business Media
Total Pages: 439
Release: 2007-12-28
Genre: Mathematics
ISBN: 0817644229

S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

Guide to Information Sources in Mathematics and Statistics

Guide to Information Sources in Mathematics and Statistics
Author: Martha A. Tucker
Publisher: Bloomsbury Publishing USA
Total Pages: 362
Release: 2004-09-30
Genre: Language Arts & Disciplines
ISBN: 0313053375

This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. We are in a time of transition in scholarly communications in mathematics, practices which have changed little for a hundred years are giving way to new modes of accessing information. Where journals, books, indexes and catalogs were once the physical representation of a good mathematics library, shelves have given way to computers, and users are often accessing information from remote places. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These are grouped by type of material. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. Amazingly a majority of listed electronic resources are free.

Advances in Multivariate Statistical Analysis

Advances in Multivariate Statistical Analysis
Author: Arjun K. Gupta
Publisher: Springer Science & Business Media
Total Pages: 392
Release: 2013-04-17
Genre: Mathematics
ISBN: 9401706530

The 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.

Exponential Distribution

Exponential Distribution
Author: K. Balakrishnan
Publisher: Routledge
Total Pages: 664
Release: 2019-01-22
Genre: Mathematics
ISBN: 1351449125

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon

Statistical Decision Theory

Statistical Decision Theory
Author: F. Liese
Publisher: Springer Science & Business Media
Total Pages: 696
Release: 2008-12-30
Genre: Mathematics
ISBN: 0387731946

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.