A course in mathematical statistics and large sample theory/ (Record no. 11205)

MARC details
000 -LEADER
fixed length control field 03109nam a22002297a 4500
001 - CONTROL NUMBER
control field 9633
003 - CONTROL NUMBER IDENTIFIER
control field IN-BhIIT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200826121156.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200826b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781493940301
040 ## - CATALOGING SOURCE
Original cataloging agency IN-BhIIT
041 ## - LANGUAGE CODE
Language code of text eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Book number BHA/C
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Rabi Bhattacharya;
Relator term author
245 ## - TITLE STATEMENT
Title A course in mathematical statistics and large sample theory/
Statement of responsibility, etc by Rabi Bhattacharya; Lizhen Lin; Victor Patrangenaru
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New York, NY :
Name of publisher Springer,
Year of publication 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xi,389p.
Dimensions(size) 24 c.m
520 ## - SUMMARY, ETC.
Summary, etc This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics. Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics -- parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods. Large Sample theory with many worked examples, numerical calculations, and simulations to illustrate theory Appendices provide ready access to a number of standard results, with many proofs Solutions given to a number of selected exercises from Part I Part II exercises with a certain level of difficulty appear with detailed hints Rabi Bhattacharya, PhD, has held regular faculty positions at UC, Berkeley; Indiana University; and the University of Arizona. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the U.S. Senior Scientist Humboldt Award and of a Guggenheim Fellowship. He has served on editorial boards of many international journals and has published several research monographs and graduate texts on probability and statistics, including Nonparametric Inference on Manifolds, co-authored with A. Bhattacharya. Lizhen Lin, PhD, is Assistant Professor in the Department of Statistics and Data Science at the University of Texas at Austin. She received a PhD in Mathematics from the University of Arizona and was a Postdoctoral Associate at Duke University. Bayesian nonparametrics, shape constrained inference, and nonparametric inference on manifolds are among her areas of expertise. Vic Patrangenaru, PhD, is Professor of Statistics at Florida State University. He received PhDs in Mathematics from Haifa, Israel, and from Indiana University in the fields of differential geometry and statistics, respectively. He has many research publications on Riemannian geometry and especially on statistics on manifolds. He is a co-author with L. Ellingson of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lin, Lizhen
Relator term author
Personal name Patrangenaru, Victor
Relator term author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Technical Reference Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Full call number Accession Number Price effective from Koha item type
Not withdrawn Not Lost not damaged   SEOCS Central Library, IIT Bhubaneswar Central Library, IIT Bhubaneswar 26/08/2020 519.5 BHA/C 9633 26/08/2020 Technical Reference Book

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