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How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and;
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book has been engaged in the development of the methods of statistical hypotheses testing and their applications for solving practical problems;
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Presents the main ideas of computer-intensive statistical methods Gives the algorithms for all the methods Uses various plots and;
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Presents the main ideas of computer-intensive statistical methods Gives the algorithms for all the methods Uses various plots and;
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for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to;
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for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to;
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This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome;
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This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome;
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With the urgent demand for rapid turnaround on new software releases-without compromising quality-the testing element of software;
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This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment;
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) of the 14th International Conference of the International Association for Computer Methods and Advances in Geomechanics (Kyoto, Japan, 22-25;
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software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused;
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even out multiple variables Modern medical computer files often involve hundreds of variables like genes and other laboratory values, and;
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This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological;
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This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological;
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evaluation of the coverage of these tests is still a challenge. Code Generation, Analysis Tools, and Testing for Quality is an essential;
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growth, allowing for this new body of hypotheses testing. Cadotte and Davies systematically look at all the main areas of current ecophylogenetic;
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This practical resource presents modern, statistical methods for accelerated testing including test models, analyses of data, and plans for;
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of Multivariate Statistics offers an up-to-date account of multivariate methods. Focusing on the maximum likelihood method for estimation, testing;
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this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics;
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this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics;
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comprehensive coverage of computer-intensive applications, with datasets available online.;
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This book presents methods for full-wave computer simulation that can be used in various applications and contexts, e.g. seismic;
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stress analysis, for the determination of refractive-index distributions, or applied to non-destructive testing. Emphasis of the book is on the;
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of variable categories that stand out with respect to specific hypotheses, and as such, CFA allows for testing numerous substantive hypotheses.
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-contained tutorial on advanced combinatorial testing methods for real-world software. The book introduces key concepts and procedures;
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Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from;
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