绿州
发表于 2025-3-23 10:35:44
https://doi.org/10.1057/9781137382825d populations. We then showed how these problems can be overcome using the biologically sensible assumption that mortality rate varies slowly over the development time of a cohort. The proposed method fits stage structured population data with a solution of the McKendrick-Von Foerster equation based
Ingest
发表于 2025-3-23 15:19:45
978-3-540-53979-7Springer-Verlag Berlin Heidelberg 1991
refraction
发表于 2025-3-23 19:20:12
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Systemic
发表于 2025-3-24 00:56:17
Mortality Estimation Schemes Related to Stage Structured Population Models, and M.(t) are respectively recruitment rate to, and maturation rate from, stage j at time t, and μ.(t) is . death rate in the stage. The maturation rate is related to the recruitment rate to, or the age distribution within, the stage at previous times.
否决
发表于 2025-3-24 04:59:35
Book 1991ion (detailed at the end of Chapter 4). Because of its complexity, the job of implementing the method is intimidating. Any reader interested in using the methods may obtain copies of our code as follows: Intelligible Structured Code 1. Hutchinson and deHoog‘s algorithm for fitting smoothing splines
Munificent
发表于 2025-3-24 07:21:36
Estimation of Mortality Rates in Stage-Structured Population
CHOIR
发表于 2025-3-24 10:46:21
https://doi.org/10.1007/978-3-031-53692-2 and M.(t) are respectively recruitment rate to, and maturation rate from, stage j at time t, and μ.(t) is . death rate in the stage. The maturation rate is related to the recruitment rate to, or the age distribution within, the stage at previous times.
舔食
发表于 2025-3-24 15:51:05
0341-633Xin using the methods may obtain copies of our code as follows: Intelligible Structured Code 1. Hutchinson and deHoog‘s algorithm for fitting smoothing splines 978-3-540-53979-7978-3-642-49979-1Series ISSN 0341-633X Series E-ISSN 2196-9981
tenosynovitis
发表于 2025-3-24 22:19:14
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大酒杯
发表于 2025-3-25 02:13:03
https://doi.org/10.1057/9780230622227-specific death rate which is consistent with stage abundance data from a population, but which displays stability with respect to observational errors. The end point of our work is a rather elaborate recipe, detailed in section 4.8.