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Uncertainty: The Soul of Modeling, Probability & Statistics, Briggs William


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Автор: Briggs William
Название:  Uncertainty: The Soul of Modeling, Probability & Statistics
ISBN: 9783319819587
Издательство: Springer
Классификация:



ISBN-10: 3319819585
Обложка/Формат: Paperback
Страницы: 258
Вес: 0.39 кг.
Дата издания: 30.05.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 21 tables, color; 23 illustrations, black and white; xix, 258 p. 23 illus.
Размер: 23.39 x 15.60 x 1.50 cm
Читательская аудитория: General (us: trade)
Подзаголовок: The soul of modeling, probability & statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science.

Epidemiology:  Key to Public Health. 2 ed.

Автор: Krickeberg Klaus, Van Trong Pham, Thi My Hanh Pham
Название: Epidemiology: Key to Public Health. 2 ed.
ISBN: 3030163679 ISBN-13(EAN): 9783030163679
Издательство: Springer
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Цена: 93160.00 T
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Описание: ?This unique textbook presents the field of modern epidemiology as a whole; it does not restrict itself to particular aspects. It stresses the fundamental ideas and their role in any situation of epidemiologic practice. Its structure is largely determined by didactic viewpoints.Epidemiology is the art of defining and investigating the influence of factors on the health of populations. Hence the book starts by sketching the role of epidemiology in public health. It then treats the epidemiology of many particular diseases; mathematical modelling of epidemics and immunity; health information systems; statistical methods and sample surveys; clinical epidemiology including clinical trials; nutritional, environmental, social, and genetic epidemiology; and the habitual tools of epidemiologic studies. The book also reexamines the basic difference between the epidemiology of infectious diseases and that of non-infectious ones.The organization of the topics by didactic aspects makes the book ideal for teaching. All examples and case studies are situated in a single country, namely Vietnam; this provides a particularly vivid picture of the role of epidemiology in shaping the health of a population. It can easily be adapted to other developing or transitioning countries.This volume is well suited for courses on epidemiology and public health at the upper undergraduate and graduate levels, while its specific examples make it appropriate for those who teach these fields in developing or emerging countries. New to this edition, in addition to minor revisions of almost all chapters:• Updated data about infectious and non-infectious diseases• An expanded discussion of genetic epidemiology• A new chapter, based on recent research of the authors, on how to build a coherent system of Public Health by using the insights provided by this volume.

The Elements of Statistical Learning

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.

Mathematics for Machine Learning

Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Название: Mathematics for Machine Learning
ISBN: 110845514X ISBN-13(EAN): 9781108455145
Издательство: Cambridge Academ
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Цена: 42230.00 T
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Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

Understanding Uncertainty, Revised Edition

Автор: Lindley
Название: Understanding Uncertainty, Revised Edition
ISBN: 1118650123 ISBN-13(EAN): 9781118650127
Издательство: Wiley
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Цена: 104490.00 T
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Описание: With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods.

Pragmatics Of Uncertainty

Автор: Kadane
Название: Pragmatics Of Uncertainty
ISBN: 1498719848 ISBN-13(EAN): 9781498719841
Издательство: Taylor&Francis
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Цена: 107190.00 T
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Описание: A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.

Ignorance and Uncertainty

Автор: Compte Olivier, Postlewaite Andrew
Название: Ignorance and Uncertainty
ISBN: 1108434495 ISBN-13(EAN): 9781108434492
Издательство: Cambridge Academ
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Цена: 35910.00 T
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Описание: Compte and Postlewaite propose novel methods to incorporate ignorance and uncertainty into economic modeling, without complex mathematics. An accessible text that proposes a constructive critique of the discipline, and that will find a broad audience with readers who build or use economic models, and those just interested in the discipline.

Ignorance and Uncertainty

Автор: Compte Olivier, Postlewaite Andrew
Название: Ignorance and Uncertainty
ISBN: 1108422020 ISBN-13(EAN): 9781108422024
Издательство: Cambridge Academ
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Цена: 104550.00 T
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Описание: Compte and Postlewaite propose novel methods to incorporate ignorance and uncertainty into economic modeling, without complex mathematics. An accessible text that proposes a constructive critique of the discipline, and that will find a broad audience with readers who build or use economic models, and those just interested in the discipline.

Uncertainty Analysis for Engineers and Scientists

Автор: Morrison Faith A.
Название: Uncertainty Analysis for Engineers and Scientists
ISBN: 1108478352 ISBN-13(EAN): 9781108478359
Издательство: Cambridge University Press
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Цена: 145910.00 T
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Описание: Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Whether you are new to the sciences or an experienced engineer, this useful text provides a practical approach to performing error analysis.

Inferential Models

Автор: Martin, Ryan
Название: Inferential Models
ISBN: 0367737809 ISBN-13(EAN): 9780367737801
Издательство: Taylor&Francis
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Цена: 48990.00 T
Наличие на складе: Нет в наличии.

Spectral Analysis for Univariate Time Series

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 97150.00 T
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Dependence Modeling with Copulas

Автор: Joe Harry
Название: Dependence Modeling with Copulas
ISBN: 1466583223 ISBN-13(EAN): 9781466583221
Издательство: Taylor&Francis
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Цена: 96970.00 T
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Описание:

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also discusses other multivariate constructions and parametric copula families that have different tail properties and presents extensive material on dependence and tail properties to assist in copula model selection.

The author shows how numerical methods and algorithms for inference and simulation are important in high-dimensional copula applications. He presents the algorithms as pseudocode, illustrating their implementation for high-dimensional copula models. He also incorporates results to determine dependence and tail properties of multivariate distributions for future constructions of copula models.


The Analysis of Biological Data

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.


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