Statistical Inference (Record no. 13786)

MARC details
000 -LEADER
fixed length control field 02529nam a2200301Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250716162313.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781420099652
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B281 Q1;1
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Basu , Ayanendranath
Relator term author.
9 (RLIN) 815789
245 #0 - TITLE STATEMENT
Title Statistical Inference
Remainder of title : The Minimum Distance Approach
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. CRC,
Date of publication, distribution, etc. 2011.
300 ## - PHYSICAL DESCRIPTION
Extent xix, 409p.
490 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC Monographs on Statistics and Applied Probability
500 ## - GENERAL NOTE
General note Includes References 373-402p.and Index 403-409p.
520 ## - SUMMARY, ETC.
Summary, etc. Statistical Inference: The Minimum Distance Approach comprehensively overviews developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also discussed.Comprehensively covering the basics and applications of minimum distance inference, this book introduces and discusses:The estimation and hypothesis testing problems for both discrete and continuous modelsThe robustness properties and the structural geometry of the minimum distance methodsThe inlier problem and its possible solutions, and the weighted likelihood estimation problem<br/>The extension of the minimum distance methodology in interdisciplinary areas, such as neural networks and fuzzy sets, as well as specialized models and problems, including semi-parametric problems, mixture models, grouped data problems, and survival analysis.<br/>Statistical Inference: The Minimum Distance Approach gives a thorough account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, weighted likelihood, and multinomial goodness-of-fit tests. This carefully crafted resource is useful to researchers and scientists within and outside the statistics arena.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information and engineering.
9 (RLIN) 815790
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical inferences.
9 (RLIN) 815791
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shioya, Hiroyuki
Relator term co-author.
9 (RLIN) 815792
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Park, Chanseok
Relator term co-author.
9 (RLIN) 815793
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part B281 Q1;1
Koha item type Textual
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Central Science Library Central Science Library 2022-09-12   B281 Q1;1 SL1558048 2022-09-12 2022-09-12 Textual
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