Abstract
This chapter introduces the basic theoretical tools utilized subsequently for solving single population stochastic models. Most of these tools are developed more extensively in the basic textbooks in stochastic processes, including the leading applied texts by Bailey [4], Chiang [12] and Renshaw [82]. The basic methodology is also described and illustrated specifically as applied to standard compartmental models in Jacquez [28]. This monograph will build on Jacquez’ development, most notably by including “births” into the stochastic compartmental models.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Matis, J.H., Kiffe, T.R. (2000). Basic Methodology for Single Population Stochastic Models. In: Matis, J.H., Kiffe, T.R. (eds) Stochastic Population Models. Lecture Notes in Statistics, vol 145. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1244-7_3
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1244-7_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98657-9
Online ISBN: 978-1-4612-1244-7
eBook Packages: Springer Book Archive