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Unformatted text preview: ____________________________________________________________ _ Introduction to Curve Estimation • TIMETABLE : COURSE CONTENT IS DIVIDED BETWEEN THREE TOPICS: • A . STATISTICAL AND MATHEMATICAL CURVE ESTIMATION BACKGROUND • B. KERNEL AND SERIES CURVE ESTIMATOR BASICS. • C. APPLICATIONS TO MIXTURE DECOMPOSITION, DATA TRANSFORMATION AND MODEL SELECTION, NONPARAMETRIC REGRESSION, DATA CORRECTION, NONPARAMETRIC SURVIVAL ANALYSIS AND BAYESIAN AS WELL AS CONVENTIONAL INFERENCE. ____________________________________________________________ _ Introduction to Curve Estimation, OBJECTIVE: • Data analysts often choose within a tool kit that contains scatter diagrams, histograms, life tables survival curves, dose-response curves, Q-Q, and box plots. New computational equipment makes it practical to hone the contents of this tool-kit conveniently. • In the sense that small samples can lead to informative displays and tests, properly sharpened curves can substantially increase the definition of...
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This note was uploaded on 02/04/2011 for the course PB HLTH 140 taught by Professor Tarter during the Fall '10 term at Berkeley.

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