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STATISTICS, 4e, International Edition helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning;
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Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical;
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of the field, and can be used as a textbook for a two-semester course on mathematical statistical mechanics. It assumes only basic knowledge;
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of the field, and can be used as a textbook for a two-semester course on mathematical statistical mechanics. It assumes only basic knowledge;
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Originally published in 1981, this excellent treatment of the mathematical theory of entropy gives an accessible exposition of the ways;
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them in the topic. Understanding Mathematical and Statistical Techniques in Hydrology provides full and detailed expositions of such equations;
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This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including;
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Presenting mathematical prerequisites in summary tables, this book explains fundamental techniques of mathematical modeling processes;
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Introducing undergraduates to the vital concepts of statistics, this superb textbook allows instructors to include as much mathematical;
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For courses in mathematical statistics. Comprehensive coverage of mathematical statistics - with a proven approach Introduction;
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developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments;
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on introductory mathematical modeling and statistical mechanics at the upper-undergraduate and graduate levels. The book also serves as a;
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Ising model. Detailed steps are given in mathematical derivations, allowing students to quickly develop a deep understanding of statistical;
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Basic Statistics for Behavioral Science Research was written especially for students with little mathematical background. Its focus is on;
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A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods;
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independence as the key probabilistic component of statistical inference. Broad in scope, yet firmly grounded in mathematical detail, this text;
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Fundamental techniques of mathematical modeling of processes essential to the food industry are explained in this text. Instead;
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Originally published in 1981, this excellent treatment of the mathematical theory of entropy gives an accessible exposition of the ways;
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This book provides an ideal introduction to the use of Feynman path integrals in the fields of quantum mechanics and statistical physics;
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own decision making. It does not suppose a mathematical or technical background. It focuses on making reasonable use of statistical;
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nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and;
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in theoretical/computationalmathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis;
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Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical;
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Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical;
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the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs
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field of evidence-based medicine. This volume explains the most commonly-used statistical techniques to aid understanding of published;
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cover a wide range of topics including basic mathematical details for various epidemic models, statistical distribution theory, and applications;
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