Accession Number : ADA116603
Title : Aggregation of Conditional Absorbing Markov Chains.
Descriptive Note : Professional paper,
Corporate Author : CENTER FOR NAVAL ANALYSES ALEXANDRIA VA MARINE CORPS OPERATIONS ANALYSIS GROUP
Personal Author(s) : Barfoot,C Bernard
PDF Url : ADA116603
Report Date : Jun 1982
Pagination or Media Count : 14
Abstract : When modeling a process by means of a finite Markov chain, it is sometimes necessary or desirable to stratify the process into subprocesses and model each of these individual subprocesses. For example, in a study of a distributed data base system (1) the flow of data was modeled as a Markov chain for several separate geographic locations. In a recruiting study (2) the movement of military-age men through the recruiting process and into the armed forces was modeled for separate racial and educational groups as a Markov chain with a single state space for each group--only the input data (transition probabilities) to the model were changed for each group. In (3) a Markov chain model was used to investigate the consequences of induced abortion for different groups of women by estimating transition probabilities separately for each group.
Descriptors : *Markov processes, *Mathematical models, Stratification, Data bases, Manpower, Recruiting, Theorems
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE