NONPARAMETRIC AND GAUSSIAN BIVARIATE TRANSVARIATION THEORY: ITS APPLICATION TO ECONOMICS.

Abstract

The paper is concerned with the bivariate transvariation theory. It presents an historical account of the subject and a development of the theory. It deals with the probability of transvariation and its related concepts, namely, transvariability and its maximum; the rth moment of transvariation, its maximum and the rth intensity of transvariation; area of transvariation and discriminative value. These concepts are developed without parametric constraint and under the assumption of Gaussian distribution. The sample variances and covariances of the transvariation parameters estimators were herein deduced. Applications are given. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1968
Accession Number
AD0676906

Entities

People

  • Camilo Dagum

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Covariance
  • Data Science
  • Economics
  • Estimators
  • Gaussian Distributions
  • Information Science
  • Intensity
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Probability
  • Statistical Analysis
  • Statistics
  • Stochastic Processes

Readers

  • Calculus or Mathematical Analysis
  • Statistical inference.