This book thoroughly discusses statistical procedures to evaluate the assumptions of different distributions for the data observed, the validity of models such as linear models, generalized linear models, additive models, etc. and also to consider validity and justification of the use of robust statistical procedures. Professionals and researchers interested in reliability, applied statistics, statistical inference and statistical modeling will find this book an up-to-date reference and resource.
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