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A stochastic compartment model representation of chronic disease dependence: techniques for evaluating parameters of partially unobserved age inhomogeneous stochastic processes.

Publication ,  Journal Article
Manton, KG; Stallard, E
Published in: Theoretical population biology
August 1980

Duke Scholars

Published In

Theoretical population biology

DOI

EISSN

1096-0325

ISSN

0040-5809

Publication Date

August 1980

Volume

18

Issue

1

Start / End Page

57 / 75

Related Subject Headings

  • Time Factors
  • Stochastic Processes
  • Probability
  • Population
  • Models, Biological
  • Humans
  • Evolutionary Biology
  • Evaluation Studies as Topic
  • Chronic Disease
  • Age Factors
 

Citation

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ICMJE
MLA
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Manton, K. G., & Stallard, E. (1980). A stochastic compartment model representation of chronic disease dependence: techniques for evaluating parameters of partially unobserved age inhomogeneous stochastic processes. Theoretical Population Biology, 18(1), 57–75. https://doi.org/10.1016/0040-5809(80)90040-4
Manton, K. G., and E. Stallard. “A stochastic compartment model representation of chronic disease dependence: techniques for evaluating parameters of partially unobserved age inhomogeneous stochastic processes.Theoretical Population Biology 18, no. 1 (August 1980): 57–75. https://doi.org/10.1016/0040-5809(80)90040-4.
Manton, K. G., and E. Stallard. “A stochastic compartment model representation of chronic disease dependence: techniques for evaluating parameters of partially unobserved age inhomogeneous stochastic processes.Theoretical Population Biology, vol. 18, no. 1, Aug. 1980, pp. 57–75. Epmc, doi:10.1016/0040-5809(80)90040-4.
Journal cover image

Published In

Theoretical population biology

DOI

EISSN

1096-0325

ISSN

0040-5809

Publication Date

August 1980

Volume

18

Issue

1

Start / End Page

57 / 75

Related Subject Headings

  • Time Factors
  • Stochastic Processes
  • Probability
  • Population
  • Models, Biological
  • Humans
  • Evolutionary Biology
  • Evaluation Studies as Topic
  • Chronic Disease
  • Age Factors