000			01579nam a22001697a 4500
008			221028b2019 |||||||| |||| 00| 0 eng d
020			_a9781108701112
082			_a519.5 SUN-R
100			_aSundberg, Rolf
245			_aStatistical modelling by exponential families / _cRolf Sundberg
260			_aUnited Kingdom _bCambridge University Press _c2019
300			_a282 p.
365			_aGBP _b29.99.
500			_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			_aDistribution (Probability theory)
650			_aExponential families (Statistics)
999			_c83231 _d83231