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题名/责任者:

Parameter redundancy and identifiability / Diana Cole.

出版发行项:

Boca Raton : Chapman & Hall/CRC, 2020.

ISBN:

9781498720878

载体形态项:

xix, 252 pages : illustrations (black and white) ; 25 cm.

丛编说明:

Chapman & Hall/CRC interdisciplinary statistics series

个人责任者:

Cole, Diana, 1978- author.

论题主题:

Parameter estimation.

论题主题:

Mathematical models.

论题主题:

Ecology-Statistical methods.

论题主题:

Ecology-Mathematical models.

中图法分类号:

O212

书目附注:

Includes bibliographical references and index.

摘要附注:

Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to find parameter estimates for every parameter in that model, but in some cases this is not possible. For example, two parameters that only ever appear in the model as a product could not be estimated individually; only the product can be estimated. Such a model is said to be parameter redundant, or the parameters are described as non-identifiable. This book explains why parameter redundancy and non-identifiability is a problem and the different methods that can be used for detection, including in a Bayesian context.

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