Research on Nonparametric Methods for Linear Models.

Abstract

The goal of this project was to conduct research in the development of nonparametric statistical methods based on rank statistics for the general linear model. Consideration was to be given to the use of a comprehensive framework to handle estimation, confidence regions and tests of hypotheses for a wide range of multiple regression and analysis of variance problems. Methods were sought which would be efficient and convenient to use in practice. The practical aspects of implementation for applied problems requires special attention in order that the methodology be direct in interpretation and computationally feasible.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1983
Accession Number
ADA135850

Entities

People

  • G. L. Sievers

Organizations

  • Western Michigan University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Analysis Of Variance
  • Asymptotic Normality
  • Combinatorial Analysis
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Science
  • Dispersions
  • Information Science
  • Mathematics
  • Michigan
  • Random Variables
  • Statistical Algorithms
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Statistical inference.