Basic Statistical Methods and Models for the Sciences, Rosenblatt, Judah

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: 76850.00 T
Наличие на складе: Заказано в издательстве.
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: 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
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Marco Corazza; Cira Perna; Marilena Sibillo; Flore
Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance
ISBN: 3319502336 ISBN-13(EAN): 9783319502335
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume gathers selected peer-reviewed papers presented at the "International MAF Conference 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance" held in Paris at the University of Paris-Dauphine from March 30 to April 1, 2016.

Автор: Barlow
Название: Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences
ISBN: 0471922951 ISBN-13(EAN): 9780471922957
Издательство: Wiley
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Цена: 44300.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Manchester Physics Series General Editors: D.J. Sandiford; F. Mandl; A.C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B.H. Flowers and E. Mendoza Optics Second Edition F.G. Smith and J.H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I.S. Grant and W.R.

Автор: Ombao, H.
Название: Handbook of Neuroimaging Data Analysis
ISBN: 1482220970 ISBN-13(EAN): 9781482220971
Издательство: Taylor&Francis
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Цена: 193950.00 T
Наличие на складе: Невозможна поставка.
Описание: This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

Автор: Bayo Lawal
Название: Applied Statistical Methods in Agriculture, Health and Life Sciences
ISBN: 3319378341 ISBN-13(EAN): 9783319378343
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. It is developed for undergraduate students in agriculture, nursing, biology and biomedical research.

Автор: Cira Perna; Marilena Sibillo
Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance
ISBN: 3319358561 ISBN-13(EAN): 9783319358567
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance.

Автор: Marco Corazza; Claudio Pizzi
Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance
ISBN: 3319378988 ISBN-13(EAN): 9783319378985
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one.

Автор: Jean-Louis Auget; N. Balakrishnan; Mounir Mesbah;
Название: Advances in Statistical Methods for the Health Sciences
ISBN: 0817643680 ISBN-13(EAN): 9780817643683
Издательство: Springer
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Цена: 158340.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics.

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.