Stochastic Models for the Random Location of Individuals in a Habitat.

Abstract

Very little had been done in the past to develop coherent stochastic structures for the location of individuals in a region. Such a structure can provide sound probabilistic bases for a variety of inference procedures presented in the literature and clear the way to the development of consistent statistical methodology. Various probabilistic models for the random locations of individuals in a region are considered. Models for both infinite and finite regions are developed. In the literature, certain marginal distributions are used to characterize the numbers of individuals in subregions. Relationships between these marginal distributions and our probabilitistic models are discussed. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1978
Accession Number
ADA052319

Entities

People

  • Naftali A. Langberg
  • Ralph A. Bradley
  • Roger Johnson

Organizations

  • Florida State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Binomials
  • Consistency
  • Data Science
  • Information Science
  • Literature
  • Numbers
  • Probability
  • Random Variables
  • Real Numbers
  • Sequences
  • Spatial Distribution
  • Stationary
  • Stationary Processes
  • Statistics
  • Stochastic Processes
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.
  • Vector-Borne Disease and Entomology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference