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Full Description
This textbook adopts an applied approach, demonstrating concepts by means of worked examples. Data sets are contained on the accompanying disk included. All textual material is organized in such a way that the reader is taken from relatively simple topics to more complex concepts gradually.
Contents
Linear regression with one independent variable; inferences in regression analysis; diagnosis and remedial measures I; simultaneous inferences and other topics in regression analysis; matrix approach to simple linear regression anaysis; multiple regression I; multiple regression II; building the regression model I - selection of predictor variables; building the regression model II - diagnostics; building the regression model III - remedial measures and validation; qualitative predictor variables; autocorrelation in time series data; introduction to nonlinear regression; logistic regression; poisson regression and generalized linear models; normal correlation models.
