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Confidence Intervals in Generalized Regression Models - 9781420060270

Un libro in lingua di Esa Uusipaikka edito da Taylor & Francis, 2008

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Uusipaikka (mathematics, U. of Turku) writes primarily about profile likelihood-based confidence intervals and generalized regression models with a nod to generalized linear models. Uusipaikka begins as with likelihood-based statistical inference, including likelihood ratio tests and maximum likelihood estimates, then moves to generalized regression models (giving definitions and special cases), the general linear model, including confidence the region's and intervals, nonlinear regression models, generalized linear models, binomial and logistic regression models, Poisson regression models, multinomial regression models, and other generalized regression models, including those which are linear. Extremely well illustrated and containing a wealth of real-life examples, this is intended for senior undergraduate and first level graduate students in generalized regression and can also be suitable in the study of applied statistics. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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