Bootstrap and Partitioning Methods.

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)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 15, 1994
Accession Number
ADA290662

Entities

People

  • Wei-yin Loh

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Binomials
  • Cell Count
  • Classification
  • Combinatorial Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Discriminant Analysis
  • Efficiency
  • Experimental Design
  • Identification
  • Information Science
  • Intervals
  • Military Research
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Parallel and Distributed Computing.
  • Statistical inference.