Practical Experiment Designs For Engineers And Scientists


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Practical Experiment Designs for Engineers and Scientists


Practical Experiment Designs for Engineers and Scientists

Author: William J. Diamond

language: en

Publisher:

Release Date: 1981


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Fundamentals of experiment design; Introduction to experiment design: fundamental concepts; Introduction to experiment design: elements of decision making; Introduction to experiment design: other important concepts; Simple comparative experiments: decisions about population means; Simple comparative experiments: decisions about population variances; Sequential experiments. Two-level multivariable experiments; General principles for two-level multivariable experiments; Two-level multivariable experiments: eight-trial hadamard matrix designs; Two-level multivariable experiments: hadamard matrices greater than order 8; John's three-quarter fractional factorials; Special resolution V designs; Summary of two-level matrix designs; A computer program for generating hadamard matrix designs and analyzing the data from such designs; Multilevel, multivariable experiments; Multilevel experiments with qualitative variables; Multilevel experiments with quantitative variables; Experiment designs for chemical-composition experiments; Random-strategy experiments; Related topics; Blocking an experiment; Validation of test methods; Concepts for a complete project strategy; General references, symbols, tables, and answers to exercises; Index.

Practical Experiment Designs for Engineers and Scientists


Practical Experiment Designs for Engineers and Scientists

Author: William J. Diamond

language: en

Publisher: Van Nostrand Reinhold Company

Release Date: 1989-01-01


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Practical Experiment Designs


Practical Experiment Designs

Author: William J. Diamond

language: en

Publisher: John Wiley & Sons

Release Date: 2001-02-05


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Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form. Features new and updated material, including cases and a larger focus on multivariate analysis. Uses simple analysis tools for practical implementation on the job. Targets experiment planning as the groundwork for quality experiments.


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