A note on computing average state occupation times
Bibliographic Data
| ID | 7743818 |
|---|---|
| Authors | Jan Beyersmann (0000-0002-3793-4611, Universität Ulm), Hein Putter (0000-0001-5395-1422, Leiden University) |
| Year | 2014 |
| Volume | 30 |
| Pages | 1681-1696 |
| Publication date | 2014-05-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demographic Research (JOURNAL) |
| Journal identifiers | ISSN: 1435-9871 • E-ISSN: 2363-7064 |
| Publisher | Max Planck Institute for Demographic Research (PUBLISHER • DE) |
| DOI | 10.4054/demres.2014.30.62 |
| OpenAlex | W1567040797 |
| Language | EN |
| Citations received | 2 |
| References cited | 31 |
This review discusses how biometricians would probably compute or estimate expected waiting times, if they had the data
Algorithm · Econometrics · Sociology · Statistics · Advanced Statistical Process Monitoring · Demography · Human-Automation Interaction and Safety · Insurance, Mortality, Demography, Risk Management · Mathematics
Statistical models based on counting processes
Weak Convergence and Empirical Processes
An Overview of the Health and Retirement Study
Studies of Illness in the Aged
New Methods for Analyzing Active Life Expectancy
The multistate life table method
Modeling transition rates using panel current-status data
Change in disability-free life expectancy for Americans 70 years old and older
Occupational inequalities in health expectancies in France in the early 2000s
Intrinsically dynamic population models
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |