000			02129nam a22002898i 4500
003			IN-BdCUP
005			20250103125024.0
008			180411s2019||||enk o ||1 0|eng|d
020			_a9781108604574 (ebook) _z9781108476591 (hardback);9781108701112 (paperback)
040			_aIN-BdCUP _beng _cIN-BdCUP _erda
041			_aeng
050			_aQA276.7 _b.S86 2019
082			_a519.5
100			_aSundberg, Rolf _eAuthor
245		0	_aStatistical modelling by exponential families / _cRolf Sundberg.
264			_aCambridge : _bCambridge University Press, _c2019
300			_a1 online resource (xiv, 282 pages) : _bdigital, PDF file(s).
336			_atext _btxt
337			_2rdamedia
338			_aonline resource _bcr _2rdacarrier
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			_aExponential families (Statistics) _aDistribution (Probability theory)
776			_iPrint version: _z9781108604574
856			_3Electronic Book Resource _uhttps://doi.org/10.1017/9781108604574
942			_2ddc _cE
999			_c54703 _d54703