Comparison of Two Treatments When There May be an Initial Effect.

Abstract

Consider the situations where the treatment may cause an initial effect and may also cause a long-range effect. We want to evaluate the treatment, or to compare two treatments, when the effect of treatment may result from the two distinct mechanisms, M(1) and M(2). We may wish to evaluate M(1) and M(2) separately, but we may also want to evaluate their combined effect M(3). Examples are given and the general rules are applied to the special case arising in weather modification studies and elsewhere: the possible effects are multiplicative and the distribution of nonzero variables is Gamma with at most the scale parameter affected by treatment. An example demonstrates that the two components may be too weak to be judged significant while their sum is large and significant. The locally optimum C(alpha) test is used. There is a brief discussion of the power function of the tests. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1981
Accession Number
ADA101992

Entities

People

  • Elizabeth L. Scott

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • California
  • Clinical Trials
  • Data Science
  • Databases
  • Equations
  • Ground Based
  • Information Science
  • Military Research
  • Monte Carlo Method
  • Precipitation
  • Probability
  • Security
  • Side Effects
  • Standards
  • Statistical Analysis
  • Survival
  • Weather Modification

Fields of Study

  • Mathematics

Readers

  • Atmospheric Science/Meteorology
  • Regression Analysis.