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Data Management Essentials Using SAS and JMP, Kezik


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Цена: 6019.00р.
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Автор: Kezik
Название:  Data Management Essentials Using SAS and JMP
ISBN: 9781107535039
Издательство: Cambridge Academ
Классификация:


ISBN-10: 1107535034
Обложка/Формат: Paperback
Страницы: 150
Вес: 0.27 кг.
Дата издания: 20.06.2016
Серия: Medicine
Язык: English
Иллюстрации: Worked examples or exercises; 4 tables, black and white; 1 halftones, unspecified; 73 line drawings, unspecified
Размер: 181 x 235 x 10
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Epidemiology & medical statistics,Probability & statistics,Mathematical & statistical software, COMPUTERS / Natural Language Processing
Основная тема: Statistics and probability
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This book is designed for the first time or occasional SAS user who needs immediate guidance in navigating, exploring, visualizing, cleaning and reporting on data. It teaches the basic SAS skills essential to data management, including practical exercises with solutions. No formal or informal training is required.


Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses

Автор: Cheng-Few Lee; John C. Lee; Jow-Ran Chang; Tzu Tai
Название: Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses
ISBN: 3319388657 ISBN-13(EAN): 9783319388656
Издательство: Springer
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Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

Автор: Peter Goos, David Meintrup
Название: Statistics with JMP: Hypothesis Tests, ANOVA and Regression
ISBN: 1119097150 ISBN-13(EAN): 9781119097150
Издательство: Wiley
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Цена: 9654.00 р.
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Описание:

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

Peter Goos, University of Leuven and University of Antwerp, Belgium

David Meintrup, University of Applied Sciences Ingolstadt, Germany

A first course on basic statistical methodology using JMP

This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software.

Key features:

  • Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested.
  • Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values).
  • Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic.
  • Promotes the use of graphs and confidence intervals in addition to p-values.
  • Course materials and tutorials for teaching are available on the book's companion website.

Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.

Complex Survey Data Analysis with SAS

Автор: Lewis
Название: Complex Survey Data Analysis with SAS
ISBN: 1498776779 ISBN-13(EAN): 9781498776776
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.

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.


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