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A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern;
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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;
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book. An accompanying Web site features SAS? and S-Plus? program codes, software applications, and additional study data. Modern Applied;
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With its full integration of MINITAB[trademark] and S-PLUS throughout, this book presents the most modern methods available in industrial;
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begins with probability theory in the seventeenth century, Alain Desrosieres shows how the evolution of modern statistics has been inextricably;
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Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the;
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screenshots to help develop the reader s understanding of both the statistical theory and its applications. * A supporting website with data sets and;
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This title covers the essential topics of statistical tools and methods. The concepts are illustrated with solved applied examples. Modern;
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This title covers the essential topics of statistical tools and methods. The concepts are illustrated with solved applied examples. Modern;
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This title covers the essential topics of statistical tools and methods. The concepts are illustrated with solved applied examples. Modern;
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of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these;
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. With Bayesian Inference, the same high standard has been applied to this important and exciting new body of theory.;
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with applied examples immediately upon introduction. Modern computing tools and applications are introduced, and the text maintains a strong;
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If you use statistics and need easy access to simple, reliable definitions and explanations of modern statistical concepts, then look no;
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. The authors have written the widely used Modern Applied Statistics with S-PLUS, now in its third edition, and several software libraries;
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Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners;
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, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the;
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This hugely anticipated revision has held true to its core strengths, while bringing the book fully up to date with modern engineering;
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Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data;
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This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading;
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various statistical concepts with solved applied examples immediately upon introduction. It introduces modern computing tools and applications.;
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This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data;
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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book;
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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book;
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statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally;
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topics that allow students to use data for a more applied and practical approach. Featuring Connect, Smartbook, Guided examples, Algorithmic;
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This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.;
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