Continuous-time Markov models for geriatric patient behaviour

DOI<315::AID-ASM325>3.0.CO;2-9 10.1002/(SICI)1099-0747(199709/12)13:3/4<315::AID-ASM325>3.0.CO;2-9zbMath0910.92018OpenAlexW1971219777MaRDI QIDQ4231236

Sally McClean, Peter Millard, Gordon Taylor

Publication date: 14 March 1999

Full work available at URL: https://doi.org/10.1002/(sici)1099-0747(199709/12)13:3/4<315::aid-asm325>3.0.co;2-9

zbMATH Keywords

maximum likelihood estimatesgeriatric care

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (2)

The estimation of adopted mortality and morbidity rates using model and the phase type law: the Turkish case ⋮ Rates of convergence of extremes for mixed exponential distributions

This page was built for publication: Continuous-time Markov models for geriatric patient behaviour