Applied Regression and Analysis of Variance
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|Charles Kooperberg; Univ. of Washington|
|A college-level statistics course. Regression analysis; problems in interpreting regression coefficients; estimation, including two-stage least squares; guided regression: building linear models, selecting carriers; regression residuals; analysis of variance; nonparametric regression; factorial designs, response surface methods. Syllabus, transparencies, labs and midterm examination, data sets.|
|Math Topics:||Data Sets, Statistics|
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