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CRC Press Parameter Redundancy and Identifiability Book

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Description

In statistical and mathematical modeling, parameters define the specific characteristics of a model. While the goal is often to find estimates for every parameter, certain situations make this impossible. This occurs when parameters only appear as a product, meaning they cannot be estimated individually. In these instances, the model is considered parameter redundant, or the parameters are described as non-identifiable. This book from the Chapman & Hall/CRC Interdisciplinary Statistics series provides a detailed explanation of why parameter redundancy and non-identifiability present problems in mathematical modeling. It addresses the challenges researchers face when dealing with non-identifiable parameters and offers insights into managing these complexities within statistical frameworks. This text serves as a specialized resource for those working with complex models where standard estimation techniques may fail due to redundancy.

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

Format
hardcover
Domain
Amazon UK
Release Date
26 May 2020
Listed Since
08 August 2018

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