Beschreibung Basic Experimental Strategies and Data Analysis for Science and Engineering. Every technical investigation involving trial-and-error experimentation embodies a strategy for deciding what experiments to perform, when to quit, and how to interpret the data. This handbook presents several statistically derived strategies which are more efficient than any intuitive approach and will get the investigator to their goal with the fewest experiments, give the greatest degree of reliability to their conclusions, and keep the risk of overlooking something of practical importance to a minimum. Features:Provides a comprehensive desk reference on experimental design that will be useful to practitioners without extensive statistical knowledgeFeatures a review of the necessary statistical prerequisitesPresents a set of tables that allow readers to quickly access various experimental designsIncludes a roadmap for where and when to use various experimental design strategiesShows compelling examples of each method discussedIllustrates how to reproduce results using several popular software packages on a companion web siteFollowing the outlines and examples in this book should quickly allow a working professional or student to select the appropriate experimental design for a research problem at hand, follow the design to conduct the experiments, and analyze and interpret the resulting data. John Lawson and John Erjavec have a combined 25 years of industrial experience and over 40 years of academic experience. They have taught this material to numerous practicing engineers and scientists as well as undergraduate and graduate students.
Basic Experimental Strategies and Data Analysis for ~ Basic Experimental Strategies and Data Analysis for Science and Engineering. DOI link for Basic Experimental Strategies and Data Analysis for Science and Engineering. Basic Experimental Strategies and Data Analysis for Science and Engineering book
Basic experimental strategies and data analysis for ~ Get this from a library! Basic experimental strategies and data analysis for science and engineering. [John Lawson; John Erjavec] -- Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed .
Basic Experimental Strategies and Data Analysis for ~ Basic Experimental Strategies and Data Analysis for Science and Engineering has many good qualities, from the inclusion of real data to a unique focus on the industrial use of statistical methods. It could work well as a textbook for an upper-level course like an engineering design seminar, or as a reference guide for someone with a general statistics background who needs this more specific .
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Basic Experimental Strategies and Data Analysis for ~ Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a .
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