Library Logo

Regression analysis of count data / (Record no. 255803)

000 -LEADER
fixed length control field 04105cam a2200313 i 4500
001 - CONTROL NUMBER
control field 17612630
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhUL
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220413133242.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130204s2013 nyua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2012043350
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107014169 (hbk)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA278.2
Item number .C36 2013
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.536
Item number CAR
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cameron, A. Colin.
245 10 - TITLE STATEMENT
Title Regression analysis of count data /
Statement of responsibility, etc. A. Colin Cameron, Pravin K. Trivedi.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2013.
300 ## - PHYSICAL DESCRIPTION
Extent xxviii, 566 p. :
Other physical details ill. ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price type code GBP
Price amount 108.00
490 0# - SERIES STATEMENT
Series statement Econometric society monographs.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors have conducted research in the field for more than twenty-five years. In this book, they combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics, and quantitative social sciences. The book may be used as a reference work on count models or by students seeking an authoritative overview. Complementary material in the form of data sets, template programs, and bibliographic resources can be accessed on the Internet through the authors' homepages. This second edition is an expanded and updated version of the first, with new empirical examples and more than one hundred new references added. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods"--
Assigning source Provided by publisher.
520 ## - SUMMARY, ETC.
Summary, etc. "Introduction God made the integers, all the rest is the work of man. - Kronecker. This book is concerned with models of event counts. An event count refers to the number of times an event occurs, for example the number of airline accidents or earthquakes. An event count is the realization of a nonnegative integer-valued random variable. A univariate statistical model of event counts usually specifies a probability distribution of the number of occurrences of the event known up to some parameters. Estimation and inference in such models is concerned with the unknown parameters, given the probability distribution and the count data. Such a specification involves no other variables and the number of events is assumed to be independently identically distributed (iid). Much early theoretical and applied work on event counts was carried out in the univariate framework. The main focus of this book, however, is regression analysis of event counts. The statistical analysis of counts within the framework of discrete parametric distributions for univariate iid random variables has a long and rich history (Johnson, Kemp, and Kotz, 2005). The Poisson distribution was derived as a limiting case of the binomial by Poisson (1837). Early applications include the classic study of Bortkiewicz (1898) of the annual number of deaths from being kicked by mules in the Prussian army. A standard generalization of the Poisson is the negative binomial distribution. It was derived by Greenwood and Yule (1920), as a consequence of apparent contagion due to unobserved heterogeneity, and by Eggenberger and Polya (1923) as a result of true contagion"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression analysis.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Trivedi, Parvin K.
Relator term jt. aut.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Price effective from Date last seen Permanent Location Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Withdrawn status Copy number Source of acquisition Collection code Damaged status Shelving location Barcode Current Location Full call number
2022-04-102022-04-10Dhaka University Science Library 2021-11-09 Books  2PurchasedNon Fiction General Stacks520420Dhaka University Science Library519.536 CAR
2022-04-102022-04-10Dhaka University Science Library 2021-11-09 Books  1PurchasedNon Fiction General Stacks520419Dhaka University Science Library519.536 CAR
Last Updated on September 15, 2019
© Dhaka University Library. All Rights Reserved|Staff Login