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CRC Press Optimal Design for Nonlinear Response Models - CRC Press

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Description

Optimal Design for Nonlinear Response Models provides a comprehensive exploration of model-based experimental design theory and practical applications, with particular focus on biopharmaceutical research. Written by authors with extensive experience in both academia and the pharmaceutical industry, this book serves as an essential resource for statisticians and researchers working with complex experimental systems. The text begins with foundational concepts using linear models before progressing to nonlinear response analysis. It covers locally optimal designs, minimax approaches, optimal on average strategies, and Bayesian design methods. The book's systematic approach to linearization in parameter space enables readers to understand how optimal design principles apply across different modelling scenarios. Whether you are developing new experimental protocols, optimising drug trial designs, or advancing your theoretical knowledge of design theory, this reference volume combines rigorous mathematical foundations with real-world pharmaceutical applications.

Key Features

Chapman & Hall/CRC Biostatistics Series volume 53 provides peer-reviewed content on experimental design methodology and statistical theory.

Covers nonlinear response models with progression from linear model examples to complex locally optimal and Bayesian design approaches.

Authored by experienced academics and pharmaceutical industry professionals who bring practical expertise to biopharmaceutical applications.

Includes minimax designs, optimal on average methods, and Bayesian design frameworks applicable to modern drug development studies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 July 2013
Listed Since
02 April 2010

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