Abstract
Stage-frequency data consists of counts or estimates of the numbers of individuals in different development stages in a population at a series of points in time as one generation is developing. Ecologists collect such data because in principle it can be used to estimate population parameters such as survival rates and durations of stages. This paper is a review of the various methods that have been proposed for this estimation. Several examples are presented to highlight the fact that there can be important differences between sets of stage-frequency data that appear superficially to be similar. These differences are then used as a basis for a classification scheme involving three types of data: multi-cohort, where entries into stage 1 take place over an appreciable part of the sampling period; single cohort, where all entries to stage 1 occur at approximately the same time; and reproducing, where the individuals entering stage 1 are produced by the individuals already in the population. Most of the paper consist of a review of methods for analyzing these three types of data using computer generated examples with known parameters.
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© 1989 Springer-Verlag Berlin Heidelberg
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Manly, B.F.J. (1989). A Review of Methods for the Analysis of Stage-Frequency Data. In: McDonald, L.L., Manly, B.F.J., Lockwood, J.A., Logan, J.A. (eds) Estimation and Analysis of Insect Populations. Lecture Notes in Statistics, vol 55. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3664-1_1
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DOI: https://doi.org/10.1007/978-1-4612-3664-1_1
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