Maximum Likelihood Estimation with Stata (Record no. 16274)

MARC details
000 -LEADER
fixed length control field 01965nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250923152038.0
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 9781597180788
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 B28 Q0
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gould, William
Relator term author.
9 (RLIN) 846334
245 #0 - TITLE STATEMENT
Title Maximum Likelihood Estimation with Stata
250 ## - EDITION STATEMENT
Edition statement 4t ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Texas :
Name of publisher, distributor, etc. Stata Press,
Date of publication, distribution, etc. 2010.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 352p.
500 ## - GENERAL NOTE
General note Includes References 343-346p.; Author Index 347-348p.; Subject Index 349-352p.
520 ## - SUMMARY, ETC.
Summary, etc. Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata. The book begins with an introduction to the theory of maximum likelihood estimation with particular attention on the practical implications for applied work. Individual chapters then describe in detail each of the four types of likelihood evaluator programs and provide numerous examples, such as logit and probit regression, Weibull regression, random-effects linear regression, and the Cox proportional hazards model. Later chapters and appendixes provide additional details about the ml command, provide checklists to follow when writing evaluators, and show how to write your own estimation commands.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Maximum likelihood estimation.
9 (RLIN) 846335
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 846336
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pitblado, Jeffrey
Relator term co-author.
9 (RLIN) 846337
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Poi, Brian
Relator term co-author.
9 (RLIN) 846338
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part B28 Q0
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 Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Central Science Library Central Science Library 2022-09-12 1733, 24/05/2012, Ashutosh Technical Books   B28 Q0 SL1558431 2022-09-12 2022-09-12 Textual
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