Estimation of the Parameters of the Logistic Distribution

Abstract

The paper investigates the estimation of the parameters (both location and scale) of the logistic distribution using sample quantities and order statistics. Three kinds of estimators have been considered: Best linear unbiased estimators based on sample quantities; Unbiased linear asymptotically best estimators of Bloom; Asymptotically best, asymptotically unbiased linear estimators of Jung. All these methods of estimation are asymptotically efficient and one of the purposes of this investigation is to determine how good they are when compared to the best linear unbiased estimators in terms of their relative efficiency.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1967
Accession Number
AD0739860

Entities

People

  • Mrudulla N. Waknis
  • Shanti Gupta

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Covariance
  • Data Science
  • Distribution Functions
  • Efficiency
  • Equations
  • Estimators
  • Information Science
  • New Jersey
  • Observation
  • Order Statistics
  • Simultaneous Equations
  • Statistics
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.