The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work.
The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Vigor L. Anderson is a Professor of Statistics at Purdue University and is currently an University Associate with Bayer and McElrath Inc. Management Consultants, Detroit. He has been a statistical consultant to nearly every department at Purdue and to more than 25 industrial organizations, as well as to the Highway Research Board of the National Academy of Sciences. Dr. Anderson's research interest concerns the application of statistics to various disciplines and he has published widely in diverse technical and scientific journals. He was Director of the NIH Biometry Trainee Program (1957-1971) and of the Statistics and Computing laboratory at Purdue (1956-1966). Dr. Anderson has also taught and organized courses on statistical methods and design of experiments in many industrial organizations. He is a Fellow of the American Statistical Association and a member of numerous professional and honorary societies.
Inhaltsangabe
Review of Some Basic Statistical Concepts Some Intermediate Data Analysis Concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experiments for Two-Leveled Factors Three-Level Factorial Experiments Mixed Factorial Experiments and Other Incomplete Block Designs Response Surface Exploration Appendices
Review of Some Basic Statistical Concepts Some Intermediate Data Analysis Concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experiments for Two-Leveled Factors Three-Level Factorial Experiments Mixed Factorial Experiments and Other Incomplete Block Designs Response Surface Exploration Appendices
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