000 02441nam a22003738i 4500
001 CR9781108604574
003 UkCbUP
005 20240920190058.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 180411s2019||||enk o ||1 0|eng|d
020 _a9781108604574 (ebook)
020 _z9781108476591 (hardback)
020 _z9781108701112 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA276.7
_b.S86 2019
082 0 0 _a519.5
_223
100 1 _aSundberg, Rolf,
_d1942-
_eauthor.
245 1 0 _aStatistical modelling by exponential families /
_cRolf Sundberg.
264 1 _aCambridge :
_bCambridge University Press,
_c2019.
300 _a1 online resource (xiv, 282 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aInstitute of Mathematical Statistics textbooks ;
_v12
500 _aTitle from publisher's bibliographic system (viewed on 17 Jul 2019).
520 _aThis book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exercises embedded within the text as well as at the ends of chapters.
650 0 _aExponential families (Statistics)
_vProblems, exercises, etc.
650 0 _aDistribution (Probability theory)
_vProblems, exercises, etc.
776 0 8 _iPrint version:
_z9781108476591
830 0 _aInstitute of Mathematical Statistics textbooks ;
_v12.
856 4 0 _uhttps://doi.org/10.1017/9781108604574
942 _2ddc
_cEB
999 _c9844
_d9844