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Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, Cooksey Ray W.


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Цена: 18167.00р.
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Автор: Cooksey Ray W.
Название:  Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
ISBN: 9789811525360
Издательство: Springer
Классификация:



ISBN-10: 9811525366
Обложка/Формат: Hardcover
Страницы: 737
Вес: 1.24 кг.
Дата издания: 15.05.2020
Язык: English
Издание: 3rd ed. 2020
Иллюстрации: 75 illustrations, color; 153 illustrations, black and white; xxv, 737 p. 228 illus., 75 illus. in color.
Размер: 23.39 x 15.60 x 4.14 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them.


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 Genetics of Quantitative Traits

Автор: Rongling Wu; Changxing Ma; George Casella
Название: Statistical Genetics of Quantitative Traits
ISBN: 1441919120 ISBN-13(EAN): 9781441919120
Издательство: Springer
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Цена: 22201.00 р.
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Описание: Aimed at graduate students and researchers and including statistical models and analytical procedures, this book introduces the basic concepts and methods used in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture and related fields.

New Statistical Procedures for the Social Sciences

Автор: Wilcox, Rand R.
Название: New Statistical Procedures for the Social Sciences
ISBN: 1138462500 ISBN-13(EAN): 9781138462502
Издательство: Taylor&Francis
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Цена: 28327.00 р.
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Описание: In the second half of the nineteenth century and the first half of the twentieth century a variety of forces emerged which changed society in many profound and subtle ways. The Making of Modern English Society from 1850 uses the findings of recent historical and sociological research contemporary literature, and a wide range of historical sources to form a clear picture of the main patterns of the social changes which took place in this turbulent period. Jane Roebuck shows how in these hundred years the whole fabric of society altered more rapidly and radically than in ant preceding century. She gives and account of the dramatic change which occurred in all spheres of national liked. She demonstrates how the drift towards socialism, which began in the nineteenth century, gathered momentum in the twentieth and how massive social chance was on produce of the two world wars. In the field of economics, the author considers the development of the maturing but still primitive industrial economy of the mid-nineteenth century into a modern economy based on mass production and mass consumption. She also describes the change in emphasis from desire for world power to concern for domestic prosperity and welfare services.

Statistical Graphics Procedures by Example: Effective Graphs Using SAS

Автор: Matange Sanjay, Heath Dan, Sas Institute
Название: Statistical Graphics Procedures by Example: Effective Graphs Using SAS
ISBN: 1607647621 ISBN-13(EAN): 9781607647621
Издательство: Неизвестно
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Цена: 12865.00 р.
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Evolutionary Statistical Procedures

Автор: Roberto Baragona; Francesco Battaglia; Irene Poli
Название: Evolutionary Statistical Procedures
ISBN: 3642266541 ISBN-13(EAN): 9783642266546
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book offers a solid introduction to evolutionary computation for use in applied statistics research. It guides readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods.

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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