U-Statistics, Mm-Estimators and Resampling (Hardcover)

Arup Bose

ISBN 10: 9811322473 / ISBN 13: 9789811322471

Published by Springer Verlag, Singapore, Singapore, 2018

About this Item

Hardcover. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789811322471

Bibliographic Details

• Title: U-Statistics, Mm-Estimators and Resampling (Hardcover)
• Publisher: Springer Verlag, Singapore, Singapore
• Publication Date: 2018
• Language: English
• ISBN 10: 9811322473
• ISBN 13: 9789811322471
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and M_m-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.

About the Author

Arup Bose is Professor at the Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata, India. He is a Fellow of the Institute of Mathematical Statistics and of all the three national science academies of India. He has significant research contributions in the areas of statistics, probability, economics and econometrics. He is a recipient of the Shanti Swarup Bhatnagar Prize and the C R Rao National Award in Statistics. His current research interests are in large dimensional random matrices, free probability, high dimensional data, and resampling. He has authored three books: Patterned Random Matrices, Large Covariance Autocovariance Matrices (with Monika Bhattacharjee) and (with Koushik Saha), published by Chapman & Hall.

Snigdhansu Chatterjee is Professor at the School of Statistics, University of Minnesota, USA. He is also the Director of the Institute for Research in Statistics and its Applications. His research interests are in resampling methods, high-dimensional and big data statistical methods, small area methods, and application of statistics in climate science, neuroscience and social sciences. He has written over 45 research articles.