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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: 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.

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
Наличие на складе: Есть у поставщика Поставка под заказ.
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
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Поставка под заказ.

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.

A History of Probability and Statistics and Their Applications before 1750

Автор: Anders Hald
Название: A History of Probability and Statistics and Their Applications before 1750
ISBN: 0471471291 ISBN-13(EAN): 9780471471295
Издательство: Wiley
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Цена: 152010.00 T
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Описание: Statistics have helped shape every area of science. Without the means to analyze critical data, none of the great disoveries of the past would be possible. This paperback reprint of a Wiley bestseller shows the development of these data analysis tools and the manner in which they aided technological development prior to 1750.

Analytical Modeling of Heterogeneous Cellular Networks

Автор: Mukherjee
Название: Analytical Modeling of Heterogeneous Cellular Networks
ISBN: 1107050944 ISBN-13(EAN): 9781107050945
Издательство: Cambridge Academ
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Цена: 58070.00 T
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Описание: This comprehensive, self-contained introduction to the use of stochastic geometry techniques for studying the behaviour of heterogeneous cellular networks presents a range of analytic results and approaches, including the mathematical tools and techniques used to derive these results. A valuable reference for industry practitioners, graduate students and researchers.


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