Accession Number : ADA290662
Title : Bootstrap and Partitioning Methods.
Descriptive Note : Final rept. 1 Jun 91-30 Sep 94,
Corporate Author : WISCONSIN UNIV-MADISON
Personal Author(s) : Loh, Wei-Yin
PDF Url : ADA290662
Report Date : 15 NOV 1994
Pagination or Media Count : 6
Abstract : The following problems are studied and their solutions found. Bootstrap methods for confidence interval estimation of a binomial parameter and for model selection in linear regression. Tree-structured algorithms for classification, piecewise-linear regression and generalized linear models, and proportional hazards regression for censored observations. Asymptotic efficiency of tests following data transformations. Identification of significant effects from unreplicated two-level factorial designed experiments. Bounds on the asymptotic size of the likelihood ratio test of independence in a cross-classified table. (AN)
Descriptors : *MATHEMATICAL MODELS, ALGORITHMS, DATA PROCESSING, PARAMETERS, STATISTICAL DATA, PROBLEM SOLVING, ESTIMATES, TRANSFORMATIONS(MATHEMATICS), RECURSIVE FUNCTIONS, LEAST SQUARES METHOD, NUMERICAL METHODS AND PROCEDURES, LINEAR REGRESSION ANALYSIS, DISCRIMINATE ANALYSIS, ASYMPTOTIC NORMALITY, CONFIDENCE LIMITS, BINOMIALS.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE