Full Product Details
Author: Arup Bose (Indian Statistical Institute, Kolkata)
Publisher: Taylor & Francis Ltd
Imprint: Chapman & Hall/CRC
Weight: 0.453kg
ISBN: 9780367734466
ISBN 10: 036773446
Pages: 269
Publication Date: 18 December 2020
Audience:
College/higher education
,
General/trade
,
Tertiary & Higher Education
,
General
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
. . . this book can be recommended for students and researchers interested in a broad overview of random matrix theory. Each chapter ends with plenty of problems useful for exercises and training. Statistical Papers . . . the authors should be congratulated for producing two highly relevant and well-written books. Statisticians would probably gravitate to LCAM in the first instance and those working in linear algebra would probably gravitate to PRM. Jonathan Gillard, Cardiff University
""". . . this book can be recommended for students and researchers interested in a broad overview of random matrix theory. Each chapter ends with plenty of problems useful for exercises and training."" ~ Statistical Papers "" . . . the authors should be congratulated for producing two highly relevant and well-written books. Statisticians would probably gravitate to LCAM in the first instance and those working in linear algebra would probably gravitate to PRM."" ~Jonathan Gillard, Cardiff University"
. . . this book can be recommended for students and researchers interested in a broad overview of random matrix theory. Each chapter ends with plenty of problems useful for exercises and training. ~ Statistical Papers . . . the authors should be congratulated for producing two highly relevant and well-written books. Statisticians would probably gravitate to LCAM in the first instance and those working in linear algebra would probably gravitate to PRM. ~Jonathan Gillard, Cardiff University
Author Information
Arup Bose is a Professor at the Indian Statistical Institute, Kolkata, India. He is a distinguished researcher in Mathematical Statistics and has been working in high-dimensional random matrices for the last fifteen years. He has been the Editor of Sankyhā for several years and has been on the editorial board of several other journals. He is a Fellow of the Institute of Mathematical Statistics, USA and all three national science academies of India, as well as the recipient of the S.S. Bhatnagar Award and the C.R. Rao Award. His forthcoming books are the monograph, Large Covariance and Autocovariance Matrices (with Monika Bhattacharjee), to be published by Chapman & Hall/CRC Press, and a graduate text, U-statistics, M-estimates and Resampling (with Snigdhansu Chatterjee), to be published by Hindustan Book Agency.
