Probability: Theory and Examples, Maria Catherine C. Borres

Автор: E. T. Jaynes
Название: Probability Theory
ISBN: 0521592712 ISBN-13(EAN): 9780521592710
Издательство: Cambridge Academ
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Цена: 114050.00 T
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Описание: A comprehensive introduction to the role of probability theory in general scientific endeavour. This book provides an original interpretation of probability theory, showing the subject to be an extension of logic, and presenting new results and applications. Ideal for scientists working in any area involving inference from incomplete information.

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Автор: Devore Jay L.
Название: Probability and Statistics for Engineering and the Sciences
ISBN: 1337094269 ISBN-13(EAN): 9781337094269
Издательство: Cengage Learning
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Цена: 71800.00 T
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Описание: Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9E, INTERNATIONAL METRIC EDITION. Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific workplaces. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without exhaustive mathematical development and derivations.

Many examples, practice problems, sample tests, and simulations based on real data and issues help you build a more intuitive connection to the material. A proven and accurate book, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9E, INTERNATIONAL METRIC EDITION also includes graphics and screen shots from SAS (R), MINITAB (R), and Java (TM) Applets to give you a solid perspective of statistics in action.

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
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Цена: 73920.00 T
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Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Автор: Freeman
Название: Examples in Finite Differences, Calculus and Probability
ISBN: 1316612783 ISBN-13(EAN): 9781316612781
Издательство: Cambridge Academ
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Цена: 22170.00 T
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Описание: Originally published in 1936, this detailed textbook is a companion to the 1931 publication An Elementary Treatise on Actuarial Mathematics and is intended to provide further examples for learning, practice and revision. Contained is a vast selection of examples on finite differences, calculus and probability, in the hope `that the supplement will prove of value to students.

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Автор: Cox
Название: Applied Statistics - Principles and Examples
ISBN: 1138469548 ISBN-13(EAN): 9781138469549
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: This book should be of interest to senior undergraduate and postgraduate students of applied statistics.

Автор: Rick Durrett
Название: Probability: Theory and Examples
ISBN: 1108473687 ISBN-13(EAN): 9781108473682
Издательство: Cambridge Academ
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Цена: 70740.00 T
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Описание: The new edition of this lively but rigorous introduction to measure theoretic probability theory, designed for use in a graduate course, contains a new chapter on multidimensional Brownian motion and its relationship to partial differential equations (PDEs), a topic that is finding new applications. Some 200 examples and 450 exercises help readers build practical intuition.

Автор: Claire Montemar
Название: Probability Theory and Examples
ISBN: 1773613154 ISBN-13(EAN): 9781773613154
Издательство: Mare Nostrum (Eurospan)
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Цена: 155230.00 T
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Описание: The foundation of probability was laid down by two French mathematicians in the seventeenth century - Blaise Pascal and Pierre De Fermat. Later it was developed by Jakob Bernoulli, Abraham De Mover, and Pierre Simon Laplace. This book aims to help readers understand the amazing world of probability, and to explain how this subject have significance in real world problems.

Автор: Hongshik Ahn
Название: Probability and Statistics for Science and Engineering with Examples in R
ISBN: 1516513983 ISBN-13(EAN): 9781516513987
Издательство: Mare Nostrum (Eurospan)
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Цена: 76690.00 T
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Описание: Teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. Based on years of classroom experience and extensively class-tested, this text is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering.

Автор: Donoghue Anthony
Название: Statistical Thinking through Media Examples
ISBN: 1516565533 ISBN-13(EAN): 9781516565535
Издательство: Mare Nostrum (Eurospan)
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Цена: 69350.00 T
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Описание: Statistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding – the meaning behind mathematical calculations rather than the calculations themselves. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for subsequent chapters on questioning study design including polls and surveys, reasoning with variation in data measurements, understanding probability, confidence intervals, hypothesis testing, and linear regression. Students also learn how statistics can be misused and manipulated by researchers to provide a desired result. The second edition features new coverage of select topics, including ANOVA, Chi-Square tests, and multiple linear regression. Every chapter references online resources or includes in-depth discussion to draw connections between statistical concepts and media examples, such as studies on alcohol consumption and cardiovascular health, American football and brain injury, public mass shootings, dishonesty in scientific research, and more. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.