A course in mathematical statistics and large sample theory
Resource Information
The work A course in mathematical statistics and large sample theory represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
A course in mathematical statistics and large sample theory
Resource Information
The work A course in mathematical statistics and large sample theory represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 A course in mathematical statistics and large sample theory
 Statement of responsibility
 Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
 Subject

 Biostatistics
 Probability Theory and Stochastic Processes
 Statistics
 Statistical Theory and Methods
 Business & Economics  Statistics
 Sampling (Statistics)
 Electronic books
 Statistics for Business/Economics/Mathematical Finance/Insurance
 Mathematical statistics
 Statistics and Computing/Statistics Programs
 Computers  Mathematical & Statistical Software
 Probability and Statistics in Computer Science
 Mathematical & statistical software
 Sampling (Statistics)
 Probability & statistics
 Maths for computer scientists
 Life sciences: general issues
 Mathematics  Probability & Statistics  General
 Science  Life Sciences  General
 Mathematical statistics
 Language
 eng
 Summary
 This graduatelevel 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 onesemester 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, coauthored 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 coauthor with L. Ellingson of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis
 Cataloging source
 GW5XE
 Dewey number
 519.5
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA276
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Springer texts in statistics,
Context
Context of A course in mathematical statistics and large sample theoryEmbed (Experimental)
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/resource/4Y1Zvq3gWYQ/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/resource/4Y1Zvq3gWYQ/">A course in mathematical statistics and large sample theory</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Work A course in mathematical statistics and large sample theory
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/resource/4Y1Zvq3gWYQ/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/resource/4Y1Zvq3gWYQ/">A course in mathematical statistics and large sample theory</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>