Simple dependent pairs of exponential and uniform random variables
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Authors
Lawrance, A. J.
Lewis, Peter Adrian Walter
Advisors
Second Readers
Subjects
bivariate exponential
bivariate uniform
random coefficient
linear function
antithetics
neqative dependency
correlation
Spearman
simulation
bivariate uniform
random coefficient
linear function
antithetics
neqative dependency
correlation
Spearman
simulation
Date of Issue
1982-03
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
A random-coefficient linear function of two independent exponential variables yielding a third exponential variable is used in the construction of simple, dependent pairs of exponential variables. By employing antithetic exponential variables, the constructions are developed to encompass negative dependency. By employing negative exponentiation, the constructions yield simple multiplicative-based models for dependent uniform pairs. The ranges of dependency allowable in the models are assessed by correlation calculations, both of the product moment and Spearman types; broad ranges within the theoretically allowable ranges are found. Because of their simplicity, all models are particularly suitable for simulation and are free of point and line concentrations of values
Type
Technical Report
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
NPS55-82-011
Sponsors
Prepared for: Naval Postgraduate School
Funding
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
