Titlebook: Stage-Structured Populations; Sampling, analysis a Bryan F. J. Manly Book 1990 Bryan F. J. Manly 1990 biological.cluster.cotton.development

GREG

1431-0414 sam­ pling designs (Chapter 2), the estimation of parameters by maximum likelihood (Chapter 3), the analysis of sample counts of the numbers cif individuals in different stages at different times (Chapters 4 and 5), the analysis of data using Leslie matrix types of model (Chapter 6) and key factor

Exposure

Stage-structured populations,pulation may consist of a series of recognizable morphological stages that are entered, one after another, until death. It is then possible to model the dynamics of such a population in terms of the distributions of the durations of stages and temporal survival rates.

Interregnum

加强防卫

口诀

Maximum likelihood estimation of models,mates that can be applied purely numerically if necessary. A disadvantage in some cases is that estimates can only be determined after lengthy iterative calculations that may not converge on stable values.

Plaque

残废的火焰

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Sampling for population estimation,forward. For example, to determine the proportion of trees that are infested in a large orchard of numbered trees, a random sample of tree numbers can be drawn and the chosen trees inspected. The sample proportion of infested trees is then an unbiased estimator of the orchard proportion and standard

OTTER

Resection

Analysis of multi-cohort stage-frequency data,tes of the numbers of individuals in the various development stages in a population, or in a fraction of a population, at a series of points in time. Interest usually centres on obtaining estimates of some or all of the following parameters: