Applied regression analysis. / Norman R. Draper
Material type: TextPublisher: New York: John Wiley and sons INC, 1998Edition: 3rd edDescription: xvii,706p.: ill.; 24cmISBN: 9780471170822LOC classification: QA278.2.D7Item type | Current location | Home library | Call number | Copy number | Status | Date due | Barcode |
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Books | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY Reference | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY | QA278.2.D7 (Browse shelf) | 1 | Available | 7400/429/13 |
Includes index and bibliography.
Contents: About the software -- Basic prerequisite knowledge -- Fitting a straight line by least squares -- Checking the straight line fit -- Fitting straight lines: Special topics -- Regression in matrix terms: Straight line case -- The general regression situation -- Extra sums of squares and tests for several parameters being zero -- Serial correlation in the residuals and the durbin-watson test -- More on checking fitted models -- Multiple regression: Special topics -- Bias in regression estimates, and expected values of mean squares and sums of squares -- On worthwhile regressions, big F's and R2 -- Models containing functions of the predictors including polynomial models -- Transformation of the response variable -- Dummy variables -- Selecting the best regression equation -- III-Conditioning in regression data -- Ridge regression -- Generalized linear models (GLIM) -- Mixture ingredients as predator variables -- The geometry of least sqaures -- More geometry of least squares -- Orthogonal polynomials and summary data -- Mutiple regression applied to analysis of variance problems -- An introduction to nonlinear estimation -- Robust regression -- Resampling procedures (bootstrapping).
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