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A Course in Mathematical Statistics and Large Sample Theory (Record no. 426451)

000 -LEADER
fixed length control field	05910nam a22006015i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number	9781493940325
--	978-1-4939-4032-5
024 7# -
--	10.1007/978-1-4939-4032-5
--	doi
040 ## -
--	ISI Library, Kolkata
050 #4 -
--	QA276-280
072 #7 -
--	PBT
--	bicssc
072 #7 -
--	MAT029000
--	bisacsh
072 #7 -
--	PBT
--	thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number	519.5
Edition number	23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Bhattacharya, Rabi.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
245 12 - TITLE STATEMENT
Title	A Course in Mathematical Statistics and Large Sample Theory
Medium	[electronic resource] /
Statement of responsibility, etc	by Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type	E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
--	author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture	New York, NY :
Name of producer, publisher, distributor, manufacturer	Springer New York :
--	Imprint: Springer,
Date of production, publication, distribution, manufacture	2016.
300 ## -
--	XI, 389 p. 9 illus., 2 illus. in color.
--	online resource.
336 ## - CONTENT TYPE
Content Type Term	text
Content Type Code	txt
Source	rdacontent
337 ## - MEDIA TYPE
Media Type Term	computer
Media Type Code	c
Source	rdamedia
338 ## - CARRIER TYPE
Carrier Type Term	online resource
Carrier Type Code	cr
Source	rdacarrier
347 ## -
--	text file
--	PDF
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490 1# -
--	Springer Texts in Statistics,
--	1431-875X
505 0# -
--	1 Introduction -- 2 Decision Theory -- 3 Introduction to General Methods of Estimation -- 4 Sufficient Statistics, Exponential Families, and Estimation -- 5 Testing Hypotheses -- 6 Consistency and Asymptotic Distributions and Statistics -- 7 Large Sample Theory of Estimation in Parametric Models -- 8 Tests in Parametric and Nonparametric Models -- 9 The Nonparametric Bootstrap -- 10 Nonparametric Curve Estimation -- 11 Edgeworth Expansions and the Bootstrap -- 12 Frechet Means and Nonparametric Inference on Non-Euclidean Geometric Spaces -- 13 Multiple Testing and the False Discovery Rate -- 14 Markov Chain Monte Carlo (MCMC) Simulation and Bayes Theory -- 15 Miscellaneous Topics -- Appendices -- Solutions of Selected Exercises in Part 1.
520 ## -
--	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. .
650 #0 -
--	Mathematical statistics.
650 #0 -
--	Computer science.
650 #0 -
--	Statistics.
650 #0 -
--	Distribution (Probability theory.
650 #0 -
--	Statistical methods.
650 14 -
--	Statistical Theory and Methods.
--	http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 -
--	Probability and Statistics in Computer Science.
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650 24 -
--	Statistics for Business/Economics/Mathematical Finance/Insurance.
--	http://scigraph.springernature.com/things/product-market-codes/S17010
650 24 -
--	Probability Theory and Stochastic Processes.
--	http://scigraph.springernature.com/things/product-market-codes/M27004
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700 1# -
--	Lin, Lizhen.
--	author.
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--	http://id.loc.gov/vocabulary/relators/aut
700 1# -
--	Patrangenaru, Victor.
--	author.
--	aut
--	http://id.loc.gov/vocabulary/relators/aut
710 2# -
--	SpringerLink (Online service)
773 0# -
--	Springer eBooks
776 08 -
--	Printed edition:
--	9781493940301
776 08 -
--	Printed edition:
--	9781493940318
776 08 -
--	Printed edition:
--	9781493981595
830 #0 -
--	Springer Texts in Statistics,
--	1431-875X
856 40 -
--	https://doi.org/10.1007/978-1-4939-4032-5
912 ## -
--	ZDB-2-SMA
950 ## -
--	Mathematics and Statistics (Springer-11649)

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Indian Statistical Institute Library, Kolkata

A Course in Mathematical Statistics and Large Sample Theory (Record no. 426451)