机读格式显示(MARC)
- 000 01675cam a2200301 i 4500
- 008 200602s2020 flua b 001 0 eng d
- 020 __ |a 9781498720878 |c CNY1279.60
- 040 __ |a StDuBDS |b eng |c StDuBDS |e rda
- 100 1_ |a Cole, Diana, |d 1978- |e author.
- 245 10 |a Parameter redundancy and identifiability / |c Diana Cole.
- 260 __ |a Boca Raton : |b Chapman & Hall/CRC, |c 2020.
- 300 __ |a xix, 252 pages : |b illustrations (black and white) ; |c 25 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 0_ |a Chapman & Hall/CRC interdisciplinary statistics series
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a 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.
- 650 _0 |a Parameter estimation.
- 650 _0 |a Mathematical models.
- 650 _0 |a Ecology |x Statistical methods.
- 650 _0 |a Ecology |x Mathematical models.