Linking semi-Markov processes in time series - An approach to longitudinal data analysis

DOI10.1016/0025-5564(80)90095-4zbMath0444.62117OpenAlexW2093863610MaRDI QIDQ1144891

Michael G. Soyka, Charles J. Mode

Publication date: 1980

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(80)90095-4

zbMATH Keywords

time seriessemi-Markov processeslongitudinal data analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to social sciences (62P25) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (1)

Theory and applications of a computationally efficient cohort simulation model of human reproduction

Cites Work

• A large sample investigation of a multiple decrement life table estimator
• A non-Markovian stochastic model for the Taichung Medical IUD experiment
• Some techniques in building and validating stochastic models of human reproduction
• Algorithms for a stochastic model of human fertility under contraception
• Trace inequalities for mixtures of Markov chains

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