Statistical analysis of panel count data, Sun, Jianguo Zhao, Xingqiu

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.

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

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.

Автор: Badi H. Baltagi
Название: Panel Data
ISBN: 3790824550 ISBN-13(EAN): 9783790824551
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Provides a clear and persuasive introduction to the Austrian School of economics and its major figures, such as Ludwig von Mises and F.A. Hayek. In so doing it demonstrates that the economic crisis of 2008 was not inevitable, and shows why the Austrian view - emphasizing individual human action and markets free from government intrusion - offers the surest path back to peace and prosperity.

Автор: L?szlo M?ty?s; Patrick Sevestre
Название: The Econometrics of Panel Data
ISBN: 3662518511 ISBN-13(EAN): 9783662518519
Издательство: Springer
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Цена: 48774.00 р.
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Описание: This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints.

Автор: Jianguo Sun; Xingqiu Zhao
Название: Statistical Analysis of Panel Count Data
ISBN: 1493942077 ISBN-13(EAN): 9781493942077
Издательство: Springer
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Цена: 13275.00 р.
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Описание: The first comprehensive examination of an emerging topic, this text complements existing resources on recurrent event data, and includes detailed treatment of regression, parametric and non-parametric methodologies, and mathematical calculations.

Автор: Frees, Edward W.
Название: Longitudinal and panel data
ISBN: 0521535387 ISBN-13(EAN): 9780521535380
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: Introduces the subject`s foundations at a level suitable for quantitatively oriented graduate social-science students and individual researchers. It emphasizes mathematical and statistical fundamentals and describes substantive applications from across the social sciences, demonstrating the wide scope of the models. Includes real-world data sets and software programs in SAS and Stata.

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.

Автор: Agung I Gusti Ngurah
Название: Panel Data Analysis Using eViews
ISBN: 1118715586 ISBN-13(EAN): 9781118715581
Издательство: Wiley
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Цена: 16466.00 р.
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Описание: A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets.