We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£124.00
CRC Press Parameter Redundancy and Identifiability Book
Price data last checked 81 day(s) ago - refreshing...
We'll watch every seller, every day. One email when your price arrives.
It has never been this cheap. We have no record of a lower price.
£124 today · cheaper than every other day in the last 3 months
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 10 days • 10 data points (No recent data available)
Price Distribution
Price distribution over 10 days • 1 price levels
Price Analysis
Most common price: £124 (10 days, 100.0%)
Price range: £124 - £124
Price levels: 1 different prices over 10 days
Description
Key Features
Explains the fundamental concepts of parameter redundancy in statistical and mathematical models.
Provides clarity on why certain parameters are described as non-identifiable in complex systems.
Covers scenarios where parameters appear only as products, preventing individual estimation.
Part of the Chapman & Hall/CRC Interdisciplinary Statistics professional series.
Addresses the practical problems caused by redundancy in mathematical modeling processes.
Product Specifications
- Brand
- CRC Press
- Format
- hardcover
- ASIN
- 1498720870
- Domain
- Amazon UK
- Release Date
- 26 May 2020
- Listed Since
- 08 August 2018
Barcode
No barcode data available
Similar Products You Might Like
Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics)
CRC Press
Bayesian Analysis for Population Ecology - Chapman and Hall/CRC
Chapman and Hall/CRC
Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)
CRC Press
Bayesian Models: A Statistical Primer for Ecologists, 2nd Edition
Princeton University Press
Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)
Chapman and Hall/CRC
CRC Press Hierarchical Bayesian Modeling for Ecological Data
CRC Press
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Chapman and Hall/CRC
Statistical Modeling With R: a dual frequentist and Bayesian approach for life scientists
Oxford University Press
Current Trends in Bayesian Methodology with Applications
CRC Press
Application of Uncertainty Analysis to Ecological Risks of Pesticides
CRC Press
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series)
Chapman and Hall/CRC
Introduction to Statistical Modelling and Inference
CRC Press
Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics: 858 (Studies in Computational Intelligence, 858)
Springer
Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics: 858 (Studies in Computational Intelligence, 858)
Springer
Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
Elsevier
Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics (Statistics: A Series of Textbooks and Monographs)
CRC Press
Introduction to Bayesian Methods in Ecology and Natural Resources
Springer
Patterns of Scalable Bayesian Inference (Foundations and Trends (R) in Machine Learning)
Now Publishers
Probability, Choice, and Reason
CRC Press
Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods
MIT Press