Methodology and Applications of Statistics (Hardcover)

Barry C. Arnold

ISBN 10: 303083669X / ISBN 13: 9783030836696

Published by Springer Nature Switzerland AG, Cham, 2022

About this Item

Hardcover. Dedicated to one of the most outstanding researchers in the field of statistics, this volume in honor of C.R. Rao, on the occasion of his 100th birthday, provides a birds-eye view of a broad spectrum of research topics, paralleling C.R. Raos wide-ranging research interests. The books contributors comprise a representative sample of the countless number of researchers whose careers have been influenced by C.R. Rao, through his work or his personal aid and advice. As such, written by experts from more than 15 countries, the books original and review contributions address topics including statistical inference, distribution theory, estimation theory, multivariate analysis, hypothesis testing, statistical modeling, design and sampling, shape and circular analysis, and applications. The book will appeal to statistics researchers, theoretical and applied alike, and PhD students. Happy Birthday, C.R. Rao! Dedicated to one of the most outstanding researchers in the field of statistics, this volume in honor of C.R. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9783030836696

Bibliographic Details

• Title: Methodology and Applications of Statistics (Hardcover)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2022
• Language: English
• ISBN 10: 303083669X
• ISBN 13: 9783030836696
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Dedicated to one of the most outstanding researchers in the field of statistics, this volume in honor of C.R. Rao, on the occasion of his 100th birthday, provides a bird’s-eye view of a broad spectrum of research topics, paralleling C.R. Rao’s wide-ranging research interests. The book’s contributors comprise a representative sample of the countless number of researchers whose careers have been influenced by C.R. Rao, through his work or his personal aid and advice. As such, written by experts from more than 15 countries, the book’s original and review contributions address topics including statistical inference, distribution theory, estimation theory, multivariate analysis, hypothesis testing, statistical modeling, design and sampling, shape and circular analysis, and applications. The book will appeal to statistics researchers, theoretical and applied alike, and PhD students. Happy Birthday, C.R. Rao!

About the Author

Barry C. Arnold is a Distinguished Professor of Statistics at the University of California, Riverside, USA. He is a Fellow of the American Statistical Association, the American Association for the Advancement of Science and of the Institute of Mathematical Statistics, and is an Elected Member of the International Statistical Institute. His research interests include order statistics, record values, inequality measurement and ordering, conditionally specified distributions, multivariate models, and income distributions.

Narayanaswamy Balakrishnan is a Distinguished University Professor at McMaster University, Hamilton, Canada. He is a Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. His research interests include ordered data analysis, censoring methodology, univariate and multivariate distribution theory, reliability theory, and survival analysis. He has recently been awarded an Honorary Doctorate by The National University of Athens, Greece.

Carlos A. Coelho is a Full Professor of Statistics at NOVA University of Lisbon, Portugal. He holds a Ph.D. in Biostatistics from the University of Michigan and his main research focuses on developing likelihood ratio tests in multivariate analysis and obtaining their exact distributions in closed finite form, whenever possible, or developing the so-called near-exact distributions for the other cases, which are sharp asymptotic distributions that are asymptotic for all parameters involved.