The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Des
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Nontechnical survey helps to improve the ability to judge the quality of statistical evidence and to make better-informed decisions. Discusses common statistical pitfalls: unrealistic estimates, impro
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This monograph constructs classical statistical mechanics as a deductive system, based on the equations of motion and the basic postulates of probability. The treatment consists chiefly of theorems an
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This book offers a brief course in statistical inference that requires only a basic familiarity with probability and matrix and linear algebra. Ninety problems with solutions make it an ideal choice f
This systematic algebraic approach covers statistical mechanics, quantum field theory, and mathematical physics. In addition to a careful formulation of the problems' physical motivations, it features
This concise introduction to statistical mechanics is geared toward students and professionals concerned with any branch of solid state physics or low temperature physics. It presents the principles,
This even-handed treatment addresses the decades-old dispute among probability theorists, asserting that both statistical and inductive probabilities may be treated as sentence-theoretic measurements,
A thorough exploration of the universal principles of thermodynamics and statistical mechanics, this volume takes an applications-oriented approach to a multitude of situations arising in physics and
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Popular selection of 100 practice problems — with hints and solutions — for students preparing for undergraduate-level math competitions. Subjects range from multivariate integration to finite series
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Classic 1912 article reformulated the foundations of the statistical approach in mechanics. Largely still valid; essential reading for serious student. Covers older formulation of statistico-mechanica
Introduction to basic statistical concepts and to concept of "adjustment" also covers solution by least squares of more complicated problems and takes into account the propagation of error, general pr
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In Introduction to PSPP, a Step by Step, Dr. Elizabeth Bigham guides the reader through the steps of basic statistical analysis commonly used in social science research using PSPP, a statistical analy
The first truly up-to-date treatment of the calculus of variations, this text is also the first to offer a simple introduction to such key concepts as optimal control and linear-quadratic control desi
The second volume in Stig Saterbakken’s loosely connected “S Trilogy,” Self-Control moves from the dark portrait of codependent marriage featured in the acclaimed Siamese to a world of solitary loneli