Statistical Concepts - A First Course, Hahs-Vaughn, Debbie L. , Lomax, Richard G.

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Hahs-Vaughn Debbie L
Название: Statistical Concepts - A First Course
ISBN: 0367203995 ISBN-13(EAN): 9780367203993
Издательство: Taylor&Francis
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Цена: 59190.00 T
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Описание: Statistical Concepts: A First Course presents the introductory chapters from An Introduction to Statistical Concepts, 4th Edition, designed for first and lower level statistics courses.

Автор: Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G. (the Ohio State University, Usa)
Название: Statistical concepts - a second course
ISBN: 0367204096 ISBN-13(EAN): 9780367204099
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.

Автор: Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G. (the Ohio State University, Usa)
Название: Statistical concepts - a second course
ISBN: 0367204045 ISBN-13(EAN): 9780367204044
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
Описание: Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.

Автор: Peter D. Hoff
Название: A First Course in Bayesian Statistical Methods
ISBN: 0387922997 ISBN-13(EAN): 9780387922997
Издательство: Springer
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Цена: 60550.00 T
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Описание: A self-contained introduction to probability, exchangeability and Bayes` rule provides a theoretical understanding of the applied material. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

Автор: Zabarankin, Michael Urias`ev, S. P.
Название: Statistical decision problems: selected concepts and portfolio safeguard case studies
ISBN: 1461484707 ISBN-13(EAN): 9781461484707
Издательство: Springer
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Цена: 88500.00 T
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Описание: Statistical Decision Problems

Автор: Bhattacharyya
Название: Statistical Concepts & Methods (WSE)
ISBN: 0471072044 ISBN-13(EAN): 9780471072041
Издательство: Wiley
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Цена: 248110.00 T
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Описание: A non--mathematical introductory statistics text that combines clear explanation of concepts, an extensive coverage of useful statistical techniques, and numerous illustrations with live data from diverse fields. Emphasizes assumptions and limitations of the statistical methods so that violations of assumptions can be avoided.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 84430.00 T
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Автор: James Gareth
Название: An Introduction to Statistical Learning
ISBN: 1461471370 ISBN-13(EAN): 9781461471370
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.