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Probability and statistics for engineering and the sciences with modeling using r, Sturdivant, Rodney X. Fox, William P.


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Автор: Sturdivant, Rodney X. Fox, William P.   (Родни Стурдивант)
Название:  Probability and statistics for engineering and the sciences with modeling using r
Перевод названия: Родни Стурдивант: Вероятность и статистика для инженерных и естественных наук с моделированием с исп
ISBN: 9781032330471
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1032330473
Обложка/Формат: Hardback
Страницы: 410
Вес: 0.95 кг.
Дата издания: 30.01.2023
Серия: Textbooks in mathematics
Язык: English
Иллюстрации: 144 line drawings, black and white; 2 halftones, black and white; 146 illustrations, black and white
Размер: 186 x 261 x 30
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: The primary goal behind this book is offering the flexibility for instructors to build most undergraduate courses upon it. This book is designed for either a one-semester course in either introductory probability and statistics (not calculus-based) and/or a one-semester course in a calculus-based probability and statistics course.


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: 9782.00 р. 13974.00 -30%
Наличие на складе: Есть (2 шт.)
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: 10480.00 р.
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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.

Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

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: 6334.00 р.
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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.

Cambridge international as & a level mathematics: probability & statistics 2 practice book

Название: Cambridge international as & a level mathematics: probability & statistics 2 practice book
ISBN: 110844492X ISBN-13(EAN): 9781108444927
Издательство: Cambridge Education
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Цена: 3213.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.

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: 14573.00 р.
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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.

Uncertainty analysis for engineers and scientists

Автор: Morrison, Faith A.
Название: Uncertainty analysis for engineers and scientists
ISBN: 1108745741 ISBN-13(EAN): 9781108745741
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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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.

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: 22802.00 р.
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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: 8710.00 р.
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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.

Modeling Count Data

Автор: Hilbe
Название: Modeling Count Data
ISBN: 1107611253 ISBN-13(EAN): 9781107611252
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes.

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: 14545.00 р.
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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.

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Автор: Fernandez-Avile G., Montero Jos? M., Fern?ndez-Avil? G.
Название: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
ISBN: 1118413180 ISBN-13(EAN): 9781118413180
Издательство: Wiley
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Цена: 11238.00 р.
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Описание: Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.


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