Growth Curve Analysis and Visualization Using R, Mirman

Автор: Putz
Название: Maple Animation
ISBN: 1584883782 ISBN-13(EAN): 9781584883784
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: The capability of computer algebra systems for creating animations has given mathematics instructors a powerful means of demonstrating mathematical concepts. But learning to make animations generally requires extensive searching for the pertinent functions. This book brings together virtually all of the functions and procedures useful in creating s

Автор: Elderton
Название: Frequency Curves and Correlation
ISBN: 1107601290 ISBN-13(EAN): 9781107601291
Издательство: Cambridge Academ
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Описание: This 1906 work, with its many later improvements, became a standard textbook on curve-fitting. Reprinted here is the 1953 fourth edition of the book containing a preface by the author, Sir William Elderton, in which he comments on the changes that he introduced.

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.