Large Sample Techniques for Statistics (Registro nro. 199635)

MARC details
000 -LÍDER
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001 - NÚMERO DE CONTROL
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003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812080145.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
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008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 100702s2010 xxu| s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9781441968272
-- 978-1-4419-6827-2
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number QA276-280
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 519.5
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Jiang, Jiming.
Relator term author.
245 10 - MENCIÓN DE TITULO
Title Large Sample Techniques for Statistics
Medium [recurso electrónico] /
Statement of responsibility, etc. by Jiming Jiang.
250 ## - MENCIÓN DE EDICIÓN
Edition statement 1.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - DESCRIPCIÓN FÍSICA
Extent XVIII, 582p.
Other physical details 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 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - MENCIÓN DE SERIE
Series statement Springer Texts in Statistics,
International Standard Serial Number 1431-875X ;
Volume/sequential designation 0
505 0# - NOTA DE CONTENIDO
Formatted contents note The ?-? Arguments -- Modes of Convergence -- Big O, Small o, and the Unspecified c -- Asymptotic Expansions -- Inequalities -- Sums of Independent Random Variables -- Empirical Processes -- Martingales -- Time and Spatial Series -- Stochastic Processes -- Nonparametric Statistics -- Mixed Effects Models -- Small-Area Estimation -- Jackknife and Bootstrap -- Markov-Chain Monte Carlo.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory and applications in entertaining ways. The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first 10 chapters contains at least one section of case study. The last five chapters are devoted to special areas of applications. The sections of case studies and chapters of applications fully demonstrate how to use methods developed from large sample theory in various, less-than-textbook situations. The book is supplemented by a large number of exercises, giving the readers plenty of opportunities to practice what they have learned. The book is mostly self-contained with the appendices providing some backgrounds for matrix algebra and mathematical statistics. The book is intended for a wide audience, ranging from senior undergraduate students to researchers with Ph.D. degrees. A first course in mathematical statistics and a course in calculus are prerequisites. Jiming Jiang is a Professor of Statistics at the University of California, Davis. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics. He is the author of another Springer book, Linear and Generalized Linear Mixed Models and Their Applications (2007). Jiming Jiang is a prominent researcher in the fields of mixed effects models, small area estimation and model selection. Most of his research papers have involved large sample techniques. He is currently an Associate Editor of the Annals of Statistics.
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650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Mathematical statistics.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistical Theory and Methods.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781441968265
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME
Uniform title Springer Texts in Statistics,
International Standard Serial Number 1431-875X ;
Volume number/sequential designation 0
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6827-2">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6827-2</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
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    Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica     QA276 -280 371755-2001 12/08/2016 1 Libro Electrónico

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