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020 _a9781139013567 (ebook)
020 _z9781107014169 (hardback)
020 _z9781107667273 (paperback)
035 _a(UkCbUP)CR9781139013567
039 9 _y03-08-2017
_zhafiz
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA278.2
_b.C36 2013
082 0 0 _a519.5/36
_223
100 1 _aCameron, A. Colin,
_eauthor.
245 1 0 _aRegression Analysis of Count Data /
_cA. Colin Cameron, Pravin K. Trivedi.
250 _a2nd ed.
264 1 _aCambridge :
_bCambridge University Press,
_c2013.
300 _a1 online resource (596 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aEconometric Society Monographs ;
_v53
500 _aTitle from publisher's bibliographic system (viewed on 07 Mar 2017).
520 _aStudents 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, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors 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 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.
650 0 _aRegression analysis
650 0 _aEconometrics
700 1 _aTrivedi, Pravin K.,
_eauthor.
776 0 8 _iPrint version:
_z9781107014169
830 0 _aEconometric Society Monographs ;
_v53.
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781139013567
907 _a.b16441060
_b2022-10-31
_c2019-11-12
942 _n0
914 _avtls003618361
998 _anone
_b2017-08-03
_cm
_da
_feng
_genk
_y0
_z.b16441060
999 _c617322
_d617322