Linear models: least squares and alternatives
In: Springer series in statistics
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In: Springer series in statistics
In: Quantitative applications in the social sciences 145
Providing a thorough introduction to generalized linear models (GLM), exponential family distribution & maximum likelihood estimation, this book includes discussion on checking model adequacy & description on how to use a popular statistical software programme, SAS, to fit GLM
In: Springer series in statistics
In: International series on actuarial science
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website
In: Quantitative applications in the social sciences 134
In: Routledge library editions
In: Econometrics volume 11
In: Texts in statistical science series 77
In: A Chapman & Hall book
In: Konstanzer Dissertationen 244
In: Texts in statistical science series
In: Texts in statistical science
In: Mathematical systems in economics 87
In: Advanced quantitative techniques in the social sciences 1
In: Advanced quantitative techniques in the social sciences 1
In: Advanced quantitative techniques in the social sciences 12