Statistical Literacy A Beginner`s Guide, Rhys Jones

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.

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
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Цена: 55890.00 T
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Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Автор: Bradley Efron , Trevor Hastie
Название: Computer Age Statistical Inference, Student Edition
ISBN: 1108823416 ISBN-13(EAN): 9781108823418
Издательство: Cambridge Academ
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Цена: 33790.00 T
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Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.

Автор: Dirk P. Kroese; Joshua C.C. Chan
Название: Statistical Modeling and Computation
ISBN: 149395332X ISBN-13(EAN): 9781493953325
Издательство: Springer
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Цена: 93150.00 T
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Описание: This book provides an introduction to modern statistics. It also offers an integrated treatment of mathematical statistics and statistical computation, emphasizing statistical modeling, computational techniques, and applications.

Автор: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 126720.00 T
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Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
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Цена: 83690.00 T
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Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Автор: Kroese Dirk P
Название: Statistical Modeling and Computation
ISBN: 1461487749 ISBN-13(EAN): 9781461487746
Издательство: Springer
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Цена: 234490.00 T
Наличие на складе: Нет в наличии.
Описание: This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models.

Автор: Rhys Jones
Название: Statistical Literacy: A Beginner`s Guide
ISBN: 1529754798 ISBN-13(EAN): 9781529754797
Издательство: Sage Publications
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Цена: 35890.00 T
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Описание:

In an increasingly data-centric world, we all need to know how to read and interpret statistics. But where do we begin?

This book breaks statistical terms and concepts down in a clear, straightforward way. From understanding what data are telling you to exploring the value of good storytelling with numbers, it equips you with the information and skills you need to become statistically literate.

It also:

• Dispels misconceptions about the nature of statistics to help you avoid common traps.
• Helps you put your learning into practice with over 60 Tasks and Develop Your Skills activities.
• Draws on real-world research to demonstrate the messiness of data – and show you a path through it.

Approachable and down to earth, this guide is aimed at undergraduates across the social sciences, psychology, business and beyond who want to engage confidently with quantitative methods or statistics. It forms a reassuring aid for anyone looking to understand the foundations of statistics before their course advances, or as a refresher on key content.

Автор: Theobald Oliver
Название: Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & Mach
ISBN: 1081762462 ISBN-13(EAN): 9781081762469
Издательство: Неизвестно
Цена: 17010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Make better decisions using every variable with this deconstructed introduction to data analytics. While exposure to data has become a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-is knowing what's in the data. Everything, from the data's source to the specific choice of variables, algorithm, and visualization shapes the data and molds its journey from raw data to business insight. It's important to learn the terms and basic concepts - just like basic accounting and financial literacy for being a successful decision-maker in the business world. This book is ideal for anyone who is interested in making sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages. Topics covered in this book: Data MiningBig DataMachine Learning Alternative Data Data ManagementWeb ScrapingRegression AnalysisClustering AnalysisAssociation AnalysisData VisualizationBusiness Intelligence

Автор: Zolfaghari, Behrouz,
Название: Statistical trend analysis of physically unclonable functions :
ISBN: 036775455X ISBN-13(EAN): 9780367754556
Издательство: Taylor&Francis
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Цена: 51030.00 T
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Описание: Statistical Trend Analysis of Physically Unclonable Functions first presents a review on cryptographic hardware and hardware-assisted cryptography. Afterwards, the authors present a combined survey and research work on PUFs using a systematic approach.

Автор: Fan, Jianqing
Название: Statistical Learning For High-Dimen
ISBN: 1466510846 ISBN-13(EAN): 9781466510845
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. It is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management.

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.