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-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set;
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-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set;
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This textbook takes a unique approach to explaining and demonstrating how to use and interpret statistics for the physiological, medical;
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Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre;
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process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R;
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process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R;
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applications to experimental design. A special chapter covers the binary case with new application to coherent systems in reliability and two level;
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Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life;
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regression for rating scales and ExGaussian regression for response times. A think-first approach is promoted for model building, as much as the;
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regression for rating scales and ExGaussian regression for response times. A think-first approach is promoted for model building, as much as the;
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Product Design: A Computer-Aided Statistical Approach familiarizes readers with the methodology of statistical experimental design, and its;
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This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;
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Crop Science serves not only as a textbook for instructors and students in experimental design and statistics but also as a reference book on;
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Crop Science serves not only as a textbook for instructors and students in experimental design and statistics but also as a reference book on;
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-of-a-kind book emphasizes an approach that clearly explains the distribution theory of linear models and experimental design starting from;
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Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design;
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Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design;
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need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as;
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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical;
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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical;
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Proportional Hazard Model Design strategies for reliability achievement Accelerated testing, models for acceleration, and design of experiments for;
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Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students;
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of the design of mechanical devices. Sometimes only an experimental model can bring the necessary elements for understanding, the physics under;
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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles;
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courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text;
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be an effective problem solving tool. It presents experimental designs which are useful for small screening and response surface experiments.;
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. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical;
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