02047nam a22002657a 450000500170000000800410001702000150005802000180007304000090009104100080010008200220010810000220013024500450015225000120019726000340020930000290024336500610027252012830033365000230161665000260163965000390166565000310170465000220173570000240175720220316103002.0220316b           ||||| |||| 00| 0 eng d  a3540576967  a9783540576969  cAloy  aeng  223a519.535bANDS  aErling B Anderson  aStatistical analysis of categorical data  a3rd ed.  aLondonbSpringer Velragc2020  axi,531 p.bHBc24x16 cm.  2Statisticsa6321b2396.00c₹d2995.00e20%f08-03-2022  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.  aStatistical Models  aStatistical Inference  aMulti dimension Contingency Tables  aLatent Structural Analysis  aThe Logical Model  aANDERSEN (Erling B)