โ Scribed by Bryan F. J. Manly (auth.)
No coin nor oath required. For personal study only.
This book provides a review of methods for obtaining and analysing data from stage-structured biological populations. The topics covered are samยญ 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 analysis (Chapter 7). There is also some discussion of the approaches to modelling and estimation that have been used in five studies of particular populations (Chapter 8). There is a large literature on the modelling of biological populations, and a multitude of different approaches have been used in this area. The various approaches can be classified in different ways (Southwood, 1978, ch. 12), but for the purposes of this book it is convenient to think of the three categories mathematical, statistical and predictive modelling. Mathematical modelling is concerned largely with developing models that capture the most important qualitative features of population dynamics. In this case, the models that are developed do not have to be compared with data from natural populations. As representations of idealized systems, they can be quite informative in showing the effects of changing parameters, indicating what factors are most important in promoting stability, and so on.
Front Matter....Pages i-xii
Stage-structured populations....Pages 1-6
Sampling for population estimation....Pages 7-32
Maximum likelihood estimation of models....Pages 33-41
Analysis of multi-cohort stage-frequency data....Pages 42-85
Analysis of single cohort stage-frequency data....Pages 86-100
Matrix and other models for reproducing populations....Pages 101-117
Key factor analysis....Pages 118-151
Case studies....Pages 152-167
Back Matter....Pages 168-187
Science, general
๐ SIMILAR VOLUMES
<p>The motivation for this monograph can be traced to a seminar on Simple Games given by Professor S.H. Tijs of the Catholic University at Nijmegen way back in 1981 or 1982 at the Delhi campus of the Indian Statistical Institute. As an apยญ plied statistician and a consultant in quality control, I wa
This book focuses on the methodology and analysis of state and local population projections. It describes the most commonly used data sources and application techniques within each of three classes of projection methods (cohort-component, trend extrapolation, and structural models) and covers th
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