Data Transformations in Regression Analysis with Applications to Stock - Recruitment Relationships.

Abstract

The authors propose a methodology for fitting theoretical models to data. The dependent variable (or response) and the model are transformed in the same way. Two types of transformations, power transformation and weighting, are used together to remove skewness and to induce constant variance. This method is applied to the stock-recruitment data of four fish stocks. Also discussed are estimates of the conditional mean and the conditional quantiles of the original response. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA170183

Entities

People

  • David Ruppert
  • Raymond J. Carroll

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Availability
  • Data Science
  • Fish
  • Information Science
  • Normality
  • North Carolina
  • Random Variables
  • Regression Analysis
  • Residuals
  • Scientific Research
  • Security
  • Skewness
  • Statistical Analysis
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Aquatic Ecology
  • Statistical inference.