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Planning, Construction, and Statistical Analysis of Comparative Experiments de Francis G Giesbrecht

Planning, Construction, and Statistical Analysis of Comparative Experiments

Autor Francis G Giesbrecht, Marcia L Gumpertz
en Limba Engleză Hardback – apr 2004
At once a comprehensive handbook for the active researcher and a thorough introduction for the advanced student, this reference provides: * Coverage of wide range of applications, including agricultural sciences, animal and biomedi-cal sciences, and industrial and engineering studies * Information on new developments in the design of fractional factorials with non-prime numbers of levels in mixed-level fractional factorials * Detailed information on the construction of plans and the relationships among categories of designs * Thorough discussion of balanced, partially balanced, lattice, cyclic and alpha-designs * Accommodations for how to evaluate the power and efficiency of designs that are not perfectly balanced * Unified and simplified presentation of general forms for estimation and hypothesis testing
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Specificații

ISBN-13: 9780471213956
ISBN-10: 0471213950
Pagini: 720
Dimensiuni: 161 x 240 x 43 mm
Greutate: 1.24 kg
Ediția:New.
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

Statistical Practitioners and Consultants in Diverse Fields such as Agriculture, Industry, and Clinical Trials; Second–Year Graduate– Level Courses in Experimental Design; University, Departmental, and Corporate Libraries Worldwide

Cuprins

Preface. Introduction.
The Completely Randomized Design.
Linear Models for Designed Experiments.
Testing Hypotheses and Determining Sample Size.
Methods of Reducing Unexplained Variation.
Latin Squares.
Split-Plot and Related Designs.
Incomplete Block Designs.
Repeated Teatments Designs.
Factorial Experiments, the 2n System.
Factorial Experiments, the 3n System.
Analysis of Experiments Without Designed Error Terms.
Confounding Effects with Blocks.
Fractional Factorial Experiments.
Response Surface Designs.
Plackett-Burmann Hadamard Plans.
The General Pn and Nonstandard Factorials.
Factorial Experiments with Quantitative Factors.
Plans for Which Run Order is Important.
Supersaturated Plans.
Sequences of Fractions of Factorials.
Multi-Stage xperiments.
Orthogonal Arrays and Related Structures.
Factorial Plans Derived via Orthogonal Arrays.
Experiments on the Computer.

Descriere

The outgrowth of more than 40 years of experience teaching and consulting with students and active researchers in many disciplines, this is a useful guide for both students and active researchers to experimental design.