Entropy-Maximising Location Models for Nonindependent Events

Datos Bibliográficos

ID5149264
AutoresM Webber (0000-0002-7697-3453, McMaster University, autor de correspondencia), M J Webber (McMaster University)
Año1975
Volumen7
Número1
Páginas99-108
Fecha de publicación1975-02-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores de la revistaISSN: 0308-518X • E-ISSN: 1472-3409
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1068/a070099
OpenAlexW2105331961
IdiomaEN
Citas recibidas10
Referencias citadas4

This paper presents two kinds of entropy-maximising location model for situations in which there exist two classes of individual. In one class of model, sampling is with replacement; in the second, sampling is without replacement. These problems are solved, and interpreted as describing the distribution of items and the component classes of items by distance, size, or time. The paper emphasises methods of obtaining complete solutions to each model for certain ideal cases. The first class of model has negative exponential solutions, the second is characterised by logistic functions

Econometrics · Exponential distribution · Exponential function · Logistic distribution · Logistic regression · Statistics · Advanced Statistical Methods and Models · Computer Science · Forecasting Techniques and Applications · Mathematics · Statistical Mechanics and Entropy · Artificial Intelligence