Name: Stage-Structured Populations: Sampling, Analysis and Simulation (en Inglés)
Price: 72440.00 CLP
Availability: InStock
Author: Manly, Bryan
ISBN: 9789401068666

portada Stage-Structured Populations: Sampling, Analysis and Simulation (en Inglés)

Formato

Libro Físico

Autor

Bryan Manly

Editorial

Springer

Idioma

Inglés

N° páginas

187

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.1 cm

Peso

0.29 kg.

ISBN13

9789401068666

Categorías

Bibliografias
Ciencias matemáticas
Papelería, artículos de escritorio

Stage-Structured Populations: Sampling, Analysis and Simulation (en Inglés)

Bryan Manly (Autor) · Springer · Tapa Blanda

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Reseña del libro "Stage-Structured Populations: Sampling, Analysis and Simulation (en Inglés)"

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.