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Handbook of design and analysis of experiments

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments.This carefully edited collection of 25 chapte...

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Bibliographic Details
Other Authors: Dean, Angela (Editor), Morris, Max 1950- (Editor), Stufken, John (Editor), Bingham, Derek (Editor)
Format: Book
Language:English
Published: Boca Raton CRC Press, Taylor & Francis Group [2015]
Series:Chapman & Hall/CRC handbooks of modern statistical methods
Subjects:
Experimental design > Handbooks, manuals, etc
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Table of Contents:
  • Section I General Prinicples
  • History and overview of design and analysis of experiments / Klaus Hinkelmann
  • Introduction to linear models / Linda M. Haines
  • Section II Designs for Linear Models
  • Blocking with independent responses / John P. Morgan
  • Crossover designs / Mausumi Bose and Aloke Dey
  • Responses surface experiments and designs / AndrĂ© I. Khuri and Siuli Mukhopadhyay
  • Design for linear regression models with correlated errors / Hogler Dette, Andrey Pepelyshev, and Anatoly Zhigljavsky
  • Section III Designs Accommodating Multiple Factors
  • Regular fractional factorial designs / Robert Mee and Angela Dean
  • Multistratum fractional factorial designs / Derek Bingham
  • Nonregular factorial and supersaturated designs / Hongquam Xu
  • Structures defined by factors / R.A. Bailey
  • Algebraic method in experimental design / Hugo Maruri-Aguilar and Henry P. Wynn
  • Section IV Optimal Design for Nonlinear and Spatial Models
  • Optimal design for nonlinear and spatial models: introduction and historical overview / Douglas P. Wiens
  • Designs for generalized linear models / Anthony C. Atkinson and David C. Woods
  • Designs for selected nonlinear models / Stefanie Bierdermann and Min Yang
  • Optimal design for spatial models / Zhengyuan Zhu and Evangelos Evangelou
  • Section V Computer Experiments
  • Design of computer experiments: introduction and background / Max D. Morris and Leslie M. Moore
  • Latin hypercubes and space-filling designs / C. Devon Lin and Boxin Tang
  • Design for sensitivity analysis / William Becker and Andrea Saltelli
  • Expected improvement design / William I. Notz
  • Section VI Cross-Cutting Issues
  • Robustness of design / Douglas P. Wiens
  • Algorithmic searches for optimal design / Abhyuday Mandal, Weng Kee Wong, and Yaming Yu
  • Section VII Design for Contemporary Applications
  • Design for discrete choice experiments / Heiko Grossmann and Rainer Schwabe
  • Plate designs in high-throughput screening experiments for drug discovery / Xianggui Qu (Harvey) and Stanley Young
  • Up-and-down designs for dose-finding / Nancy Flournoy and Assaf P. Oron
  • Optimal design for event-related fMRI studies / Jason Ming-Hung Kao and John Stufken

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