Forecasting Soil Strength Measurements from a Random Sample.

Abstract

Some of the basic ideas and procedures which we might use to make statements about the probability of encountering soil strength measurements less than or equal to some specified value, based on the results of random sample, are presented. In all cases, it was assumed that the individual measurements of the soil characteristic being investigated would be independent. Based on this assumption, prediction equations were developed, for a desired degree of confidence or level of significance, to answer the following probability questions: the probability of encountering an element less than or equal to some specified value, for a single trial, the probability of encountering M elements, less than or equal to some specified value, the probability of encountering at most M elements out of a possible K elements, less than or equal to some specified value, and the probability of encountering at least M consecutive elements less than or equal to some specified value, from a sample of size K. The application of the above to the prediction of vehicle performance is covered. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1971
Accession Number
AD0722797

Entities

People

  • Gary M. Gardner

Organizations

  • Stevens Institute of Technology

Tags

DTIC Thesaurus Topics

  • Bayes Theorem
  • Data Science
  • Delphi Method
  • Equations
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • Measurement
  • Probability
  • Statistical Samples
  • Theorems

Readers

  • Statistical inference.
  • Systems Analysis and Design