000			02151nam a22002897a 4500
005			20220316103002.0
008			220316b ||||| |||| 00| 0 eng d
020			_a3540576967
020			_a9783540576969
040			_cAloy
041			_aeng
082			_223 _a519.535 _bANDS
100			_aErling B Anderson _923845
245			_aStatistical analysis of categorical data
250			_a3rd ed.
260			_aLondon _bSpringer Velrag _c2020
300			_axi,531 p. _bHB _c24x16 cm.
365			_2Statistics _a6321 _b2396.00 _c₹ _d2995.00 _e20% _f08-03-2022
520			_aThe aim of this book is to give an up to date account of the most commonly uses statisti­ cal models for categorical data. The emphasis is on the connection between theory and applications to real data sets. The book only covers models for categorical data. Various models for mixed continuous and categorical data are thus excluded. The book is written as a textbook, although many methods and results are quite recent. This should imply, that the book can be used for a graduate course in categorical data analysis. With this aim in mind chapters 3 to 12 are concluded with a set of exer­ cises. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can­ didates for an example. A certain amount of general knowledge of statistical theory is necessary to fully benefit from the book. A summary of the basic statistical concepts deemed necessary pre­ requisites is given in chapter 2. The mathematical level is only moderately high, but the account in chapter 3 of basic properties of exponential families and the parametric multinomial distribution is made as mathematical precise as possible without going into mathematical details and leaving out most proofs.
650			_aStatistical Models _923837
650			_aStatistical Inference _923838
650			_aMulti dimension Contingency Tables _923839
650			_aLatent Structural Analysis _923840
650			_aThe Logical Model _923841
700			_aANDERSEN (Erling B) _923842
942			_2ddc _cBK
999			_c221902 _d221902