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Titlebook: Estimation and Analysis of Insect Populations; Proceedings of a Con Lyman L. McDonald,Bryan F. J. Manly,Jesse A. Logan Conference proceedin

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Estimation and Analysis of Insect Populations978-1-4612-3664-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
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,Fabric1 — Fabric Cell Based Design,nce of the stages over time in one cohort of individuals. This method involves modeling of the development process, modeling of the sampling process with its inherent errors, a statistical approach based on the models, and a numerical algorithm designed to perform the statistical estimation on real
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https://doi.org/10.1007/978-981-99-1670-2 approach demographic estimation as an inverse problem, using stage-classified matrix projection models. We allow the vital rates to vary between stages and over time, and do not assume stable age distributions or that discrete cohorts can be identified. We obtain least-squares estimates of survival
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https://doi.org/10.1007/978-981-99-3719-6thus form a basis for the analysis of stage-frequency data. A review of the theory of compartmental systems is given. Both deterministic and stochastic theory are covered with mention of phase-type compartmental residence time distributions (covering exponential, gamma and mixtures of gamma), and in
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An Overview of Speech Recognition Systems, through a variable number of discrete stages. The compelexity and number of stages depend in part on whether they are hemi — or holometabolous. With rangeland grasshoppers, for example, most species pass through at least five nymphal stages prior to adulthood..A number of modeling approaches have b
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https://doi.org/10.1007/978-3-031-18854-1to reproductive age classes according to their cycle and stage of ovarian development. The experiment was aimed at determining the relative trappability of females in each age class and durations of developmental delays associated with limited availability of protein and oviposition sites in the fie
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