Part of a series which explores many facets of population biology and the processes that determine the structure and dynamics of communities, this book is concerned almost entirely with statistical modelling. The various approaches to the modelling of biological populations are defined into three categories in this book namely mathematical, statistical and predictive modelling. Mathematical modelling is largely concerned with developing models that capture the most important qualitative features of population dynamics. Statistical modelling is driven by the needs of data analysis. Often, practical considerations will dictate the type of data that can be collected on a population and the primary interest is in using the data to estimate important population parameters. Predictive modelling is generally carried out to solve some real practical problems, is often rather complicated and consists of submodels for different components of the population dynamics, with the parameters of these submodels estimated from field data and laboratory experiments. Most of the models that are discussed are introduced solely because of their potential use for analyzing data in order to gain information about specific populations. In some cases, the models have been used or could be used for theoretical investigations of general principles of population dynamics. Some examples of predictive models are discussed, but only to emphasize the uses of the simpler statistical models as part of these more complicated ones.
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This book provides a review of methods for obtaining and analysing data from stage-structured biological populations. The topics covered are 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 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.
Part of a series which explores many facets of population biology and the processes that determine the structure and dynamics of communities, this book is concerned almost entirely with statistical modelling. The various approaches to the modelling of biological populations are defined into three categories in this book namely mathematical, statistical and predictive modelling. Mathematical modelling is largely concerned with developing models that capture the most important qualitative features of population dynamics. Statistical modelling is driven by the needs of data analysis. Often, practical considerations will dictate the type of data that can be collected on a population and the primary interest is in using the data to estimate important population parameters. Predictive modelling is generally carried out to solve some real practical problems, is often rather complicated and consists of submodels for different components of the population dynamics, with the parameters of these submodels estimated from field data and laboratory experiments. Most of the models that are discussed are introduced solely because of their potential use for analyzing data in order to gain information about specific populations. In some cases, the models have been used or could be used for theoretical investigations of general principles of population dynamics. Some examples of predictive models are discussed, but only to emphasize the uses of the simpler statistical models as part of these more complicated ones.
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Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9780412350603. Artikel-Nr. 9501873
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