Recursive Partitioning Using Ranks.

Abstract

Replacing the conventional splitting rules used in constructing regression trees by rules based on two sample rank statistics affords many advantages and equally poses some problems. Among the former are computational ease, invariance under monotone transformations of the response and worthwhile extension to censored data. The difficulties involve devising good pruning strategies in the absence of within node loss. These are addressed using look-ahead, bottom-up techniques. Some real-world and simulation performances of the methodology are presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1985
Accession Number
ADA158546

Entities

People

  • M. R. Segal

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Analogs
  • Data Analysis
  • Data Science
  • Data Sets
  • Equations
  • Homogeneity
  • Information Science
  • Linear Accelerators
  • Sequences
  • Simulations
  • Splitting
  • Statistics
  • Survival
  • Terminals
  • Universities
  • Validation

Readers

  • Operations Research
  • Regression Analysis.
  • Systems Analysis and Design