Estimating the Parameters of the Linear Compartment Model

Abstract

In this paper we consider the linear compartment model and consider the estimation procedures of the different parameters. We discuss a method to obtain the initial estimators, which can be used for any iterative procedures to obtain the least squares estimators. Four different types of confidence intervals have been discussed and they have been compared by computer simulations. We propose different methods to estimate the number of components of the linear compartment model. One data set has been used to see how the different methods work in practice.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1998
Accession Number
ADA358190

Entities

People

  • Amit Mitra
  • Debasis Kundu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Data Analysis
  • Data Science
  • Data Sets
  • Estimators
  • Governments
  • Information Science
  • Information Theory
  • Intervals
  • Mathematics
  • Monte Carlo Method
  • New York
  • Probability
  • Signal Processing
  • Simulations
  • Statistical Algorithms

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Thermal Physics or Thermal Science.