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Statistical concepts - a second course, Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G. (the Ohio State University, Usa)


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Автор: Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G. (the Ohio State University, Usa)
Название:  Statistical concepts - a second course
ISBN: 9780367204099
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367204096
Обложка/Формат: Paperback
Страницы: 736
Вес: 1.36 кг.
Дата издания: 23.01.2020
Язык: English
Издание: 5 ed
Иллюстрации: 171 tables, black and white; 58 line drawings, black and white; 184 halftones, black and white
Размер: 179 x 253 x 50
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Поставляется из: Европейский союз
Описание: Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.


      Старое издание

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.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Statistical Analysis with Missing Data, Third Edit ion

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Statistical Concepts for the Behavioral Sciences

Автор: Kiess Harold O
Название: Statistical Concepts for the Behavioral Sciences
ISBN: 1108733018 ISBN-13(EAN): 9781108733014
Издательство: Cambridge Academ
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Цена: 9346.00 р.
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Описание: This textbook emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. It introduces students to statistical methods in the context of realistic problems and gives practical applications of the new skills with the use of the accompanying workbook and problem sets.

Statistical Concepts - A First Course

Автор: Hahs-Vaughn Debbie L
Название: Statistical Concepts - A First Course
ISBN: 0367203995 ISBN-13(EAN): 9780367203993
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: Statistical Concepts: A First Course presents the introductory chapters from An Introduction to Statistical Concepts, 4th Edition, designed for first and lower level statistics courses.

Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

Автор: Nicholas J. Horton , Ken Kleinman
Название: Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition
ISBN: 1482237369 ISBN-13(EAN): 9781482237368
Издательство: Taylor&Francis
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Цена: 11789.00 р.
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Описание:

Improve Your Analytical Skills

Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the book's simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.

New to the Second Edition

  • The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows
  • New chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, "scraping" data from the web, mining text files, and generating dynamic graphics
  • New chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrapping
  • New chapter on simulation that includes examples of data generated from complex models and distributions
  • A detailed discussion of the philosophy and use of the knitr and markdown packages for R
  • New packages that extend the functionality of R and facilitate sophisticated analyses
  • Reorganized and enhanced chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots

Easily Find Your Desired Task

Conveniently organized by short, clear descriptive entries, this edition continues to show users how to easily perform an analytical task in R. Users can quickly find and implement the material they need through the extensive indexing, cross-referencing, and worked examples in the text. Datasets and code are available for download on a supplementary website.

Statistical decision problems: selected concepts and portfolio safeguard case studies

Автор: Zabarankin, Michael Urias`ev, S. P.
Название: Statistical decision problems: selected concepts and portfolio safeguard case studies
ISBN: 1461484707 ISBN-13(EAN): 9781461484707
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Statistical Decision Problems

Statistical Concepts & Methods (WSE)

Автор: Bhattacharyya
Название: Statistical Concepts & Methods (WSE)
ISBN: 0471072044 ISBN-13(EAN): 9780471072041
Издательство: Wiley
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Цена: 37216.00 р.
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Описание: A non--mathematical introductory statistics text that combines clear explanation of concepts, an extensive coverage of useful statistical techniques, and numerous illustrations with live data from diverse fields. Emphasizes assumptions and limitations of the statistical methods so that violations of assumptions can be avoided.

The Mata book

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
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Цена: 9186.00 р.
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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.


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