000			01716nam a22001817a 4500
008			140625b xxu||||| |||| 00| 0 eng d
020			_a9780471170822
050			_aQA278.2.D7
100			_aDraper, Norman R.
245			_aApplied regression analysis. / _cNorman R. Draper
250			_a3rd ed.
260			_aNew York: _bJohn Wiley and sons INC, _c1998.
300			_axvii,706p.: _bill.; _c24cm.
500			_aIncludes index and bibliography.
505			_aContents: 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).
700			_aSmith, Harry.
942			_2lcc _cBK
999			_c3084 _d10584