Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics)

Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics)

A precious review of crucial rules and leads to statistical modeling

Written through a highly-experienced author, Foundations of Linear and Generalized Linear Models is a transparent and complete consultant to the most important techniques and result of linearstatistical versions. The e-book provides a large, in-depth review of the main regularly usedstatistical types through discussing the speculation underlying the types, R software program applications,and examples with crafted types to explain key rules and advertise functional modelbuilding.

The publication starts by way of illustrating the basics of linear types, reminiscent of how the model-fitting tasks the knowledge onto a version vector subspace and the way orthogonal decompositions of the knowledge yield information regarding the results of explanatory variables. in this case, the e-book covers the preferred generalized linear types, which come with binomial and multinomial logistic regression for specific facts, and Poisson and destructive binomial loglinear types for count number info. concentrating on the theoretical underpinnings of those models, Foundations ofLinear and Generalized Linear Models also features:

  • An creation to quasi-likelihood tools that require weaker distributional assumptions, equivalent to generalized estimating equation methods
  • An evaluation of linear combined types and generalized linear combined versions with random results for clustered correlated information, Bayesian modeling, and extensions to deal with complicated circumstances similar to excessive dimensional problems
  • Numerous examples that use R software program for all textual content information analyses
  • More than four hundred workouts for readers to perform and expand the idea, equipment, and knowledge analysis
  • A supplementary site with datasets for the examples and exercises

a useful textbook for upper-undergraduate and graduate-level scholars in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is additionally an outstanding reference for training statisticians and biostatisticians, in addition to an individual who's attracted to studying concerning the most vital statistical versions for reading data.


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