One Sided Prediction Intervals for Normal and Log-Normal Distributions, with Tables - II.

Abstract

A simplified method for computing exact one-sided prediction intervals for Gaussian processes is presented along with tables of coefficients necessary to obtain actual prediction intervals. The tables pertain to selected values of current sample size, n, future sample size, m, and number of items, m-l, in a future sample to be included in the prediction interval. The table gives coefficients for n = 2(1)15(5)30(10)50, infinity, m = 20,25,30(10)80, and l = 1(1)8. An example is provided which demonstrates the use of the table.

Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1975
Accession Number
ADA028327

Entities

People

  • Kenneth W. Fertig
  • Nancy R. Mann

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Data Science
  • Distribution Functions
  • Functions (Mathematics)
  • Gaussian Distributions
  • Gaussian Processes
  • Information Science
  • Intervals
  • Mathematics
  • Normal Distribution
  • Statistical Functions

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.