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Regression Modeling - 9781420091977

Un libro in lingua di Michael Panik edito da Taylor & Francis, 2009

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Following a basic statistics refresher and introduction to the regression model for students with an introduction to statistics and calculus, Panik (emeritus, economics, U. of Hartford, Connecticut) ventures beyond the ordinary least squares variety of regression analysis. Alternative regression methodologies explored include nonparametric regression, logistic regression, Bayesian regression, robust regression, fuzzy regression, random coefficients regression, regression in a spatial domain, nonlinear least squares, and time-series issues. While the text is not intended as a substitute for reading the popular statistical analysis software's manuals, SAS procedure code and application examples are included to enable "hitting the ground running" with explained regression techniques. Proofs, derivations, and statistical tables are appended. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

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