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Probability and Statistics for Science and Engineering with Examples in R, Hongshik Ahn


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в Мои желания

Автор: Hongshik Ahn
Название:  Probability and Statistics for Science and Engineering with Examples in R
ISBN: 9781516513987
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1516513983
Обложка/Формат: Paperback
Страницы: 342
Вес: 0.00 кг.
Дата издания: 30.01.2017
Серия: Mathematics
Язык: English
Размер: 229 x 152
Читательская аудитория: Professional and scholarly
Ключевые слова: Probability & statistics,Applied mathematics,Maths for engineers
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Поставляется из: Англии
Описание: Teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. Based on years of classroom experience and extensively class-tested, this text is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering.

Scientific Method in Brief

Автор: Gauch, Jr
Название: Scientific Method in Brief
ISBN: 1107666724 ISBN-13(EAN): 9781107666726
Издательство: Cambridge Academ
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Цена: 43290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Specifically designed to enhance perspective and encourage productivity, this is a guide to the key principles of scientific method including deductive and inductive logic, probability, parsimony and hypothesis testing. The examples and case studies span the physical, biological and social sciences and also highlight science`s interrelationship with the humanities.

Bayesian Analysis with Stata

Автор: Thompson John
Название: Bayesian Analysis with Stata
ISBN: 1597181412 ISBN-13(EAN): 9781597181419
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.


Meta-Analysis in Stata

Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors)
Название: Meta-Analysis in Stata
ISBN: 1597181471 ISBN-13(EAN): 9781597181471
Издательство: Taylor&Francis
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Цена: 77570.00 T
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Описание: Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature. Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.

One Hundred Nineteen Stata Tips

Автор: Cox
Название: One Hundred Nineteen Stata Tips
ISBN: 1597181439 ISBN-13(EAN): 9781597181433
Издательство: Taylor&Francis
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Цена: 50010.00 T
Наличие на складе: Нет в наличии.
Описание: One Hundred Nineteen Stata Tips provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community that have appeared in the Stata Journal since 2003.

The Mata book

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
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Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata.

A Course in Probability Theory, Revised Edition,

Автор: Kai Lai Chung
Название: A Course in Probability Theory, Revised Edition,
ISBN: 0121741516 ISBN-13(EAN): 9780121741518
Издательство: Elsevier Science
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Цена: 83080.00 T
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Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.

Discrete Event Simulation for Health Technology Assessment

Автор: Caro J. Jaime, Moller Jorgen, Stahl James
Название: Discrete Event Simulation for Health Technology Assessment
ISBN: 1482218240 ISBN-13(EAN): 9781482218244
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание:

Discover How to Apply DES to Problems Encountered in HTA

Discrete event simulation (DES) has traditionally been used in the engineering and operations research fields. The use of DES to inform decisions about health technologies is still in its infancy. Written by specialists at the forefront of this area, Discrete Event Simulation for Health Technology Assessment is the first book to make all the central concepts of DES relevant for health technology assessment (HTA). Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible.

The book first covers the essential concepts and their implementation. It next provides a fully worked out example using both a widely available spreadsheet program (Microsoft Excel) and a popular specialized simulation package (Arena). It then presents approaches to analyze the simulations, including the treatment of uncertainty; tackles the development of the required equations; explains the techniques to verify that the models are as efficient as possible; and explores the indispensable topic of validation. The book also covers a variety of non-essential yet handy topics, such as the animation of a simulation and extensions of DES, and incorporates a real case study involving screening strategies for breast cancer surveillance.

This book guides you in leveraging DES in your assessments of health technologies. After reading the chapters in sequence, you will be able to construct a realistic model designed to help in the assessment of a new health technology.


Financial Analytics with R

Автор: Bennett, M., & Hugen, D.
Название: Financial Analytics with R
ISBN: 1107150752 ISBN-13(EAN): 9781107150751
Издательство: Cambridge Academ
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Цена: 61240.00 T
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Описание: This book provides the intuition and basic vocabulary as steps towards the financial, statistical, and algorithmic knowledge needed to resolve current industry problems, while also presenting a systematic way of developing analytical programs for finance in the statistical language R. This book is a key training resource for students and professionals alike.

Advances in Economics and Econometrics vol I

Автор: Honore Bo
Название: Advances in Economics and Econometrics vol I
ISBN: 1108400000 ISBN-13(EAN): 9781108400008
Издательство: Cambridge Academ
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Цена: 63350.00 T
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Описание: This first volume includes papers presented at the Eleventh World Congress of the Econometric Society, addressing topics such as dynamic mechanism design, agency problems, and networks.

Advances in Economics and Econometrics vol. II

Автор: Honore Bo
Название: Advances in Economics and Econometrics vol. II
ISBN: 1108400027 ISBN-13(EAN): 9781108400022
Издательство: Cambridge Academ
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Цена: 59130.00 T
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Описание: This second volume includes papers presented at the Eleventh World Congress of the Econometric Society, addressing topics such as big data, macroeconomics, financial markets, and partially identified models.

Cambridge international as & a level mathematics: probability & statistics 1 practice book

Название: Cambridge international as & a level mathematics: probability & statistics 1 practice book
ISBN: 1108444903 ISBN-13(EAN): 9781108444903
Издательство: Cambridge Education
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Цена: 21420.00 T
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Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.

Modern Statistics for Modern Biology

Автор: Holmes Susan
Название: Modern Statistics for Modern Biology
ISBN: 1108705294 ISBN-13(EAN): 9781108705295
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from well-chosen examples, hands-on simulation, and visualization.


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