Accession Number:

ADA126230

Title:

Confidence Envelopes for Monotonic Functions: Principles, Derivations, and Examples.

Descriptive Note:

Interim rept. Jul-Dec 81,

Corporate Author:

MCFANN GRAY AND ASSOCIATES INC SAN ANTONIO TX

Personal Author(s):

Report Date:

1983-03-01

Pagination or Media Count:

31.0

Abstract:

The bounds of plausible behavior for a multiparameter monotonic function can be expressed as a stochastic confidence envelope around the function. This paper presents the derivation of a general method for constructing such bounds. The bounds described are first specialized to the linear case, yielding results identical to known results found by other means. The method in the more general nonlinear case is then illustrated on three logistic item response models.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE