Development and Analysis of a Modified Screening Procedure to Increase Acceptable Product.

Abstract

Much work has been done on screening procedures under the assumption of a bivariate normal distribution. However, very little effort has been expended on data which are from a truncated bivariate normal distribution. Methods are developed for a screening procedure to increase acceptable product from a truncated distribution. An acceptance criterion on a linear combination of the largest order statistics from a truncated normal population with a given truncation point is discussed. This paper also uses the approximate distribution of the sample correlation coefficient in random samples of any size drawn from a singly truncated bivariate normal distribution to obtain a lower confidence limit on the population correlation coefficient sigma. The screening procedure discussed here is based on knowledge of the truncation point, the sample size and the lower confidence limit for sigma. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1981
Accession Number
ADA104936

Entities

People

  • D. B. Owen
  • Youn-min Chou

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Computer Science
  • Computers
  • Confidence Limits
  • Data Science
  • Distribution Functions
  • Information Science
  • Mathematics
  • Network Science
  • Normal Distribution
  • Probability
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Samples
  • Statistics
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.