Using classification and regression trees, Ma, Xin

Автор: Darlington Richard B., Hayes Andrew F.
Название: Regression Analysis and Linear Models: Concepts, Applications, and Implementation
ISBN: 1462521134 ISBN-13(EAN): 9781462521135
Издательство: Taylor&Francis
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Цена: 83690.00 T
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Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
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Цена: 50820.00 T
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Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.

Автор: Gelman
Название: Data analysis using regression and multilevel/hierarchical models
ISBN: 052168689X ISBN-13(EAN): 9780521686891
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

Автор: Ingo Balderjahn; Rudolf Mathar; Martin Schader
Название: Classification, Data Analysis, and Data Highways
ISBN: 3540639098 ISBN-13(EAN): 9783540639091
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume presents 43 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and WWW- and Internet-related topics as well as many applications.

Автор: Wolfgang A. Gaul; Hermann Locarek-Junge
Название: Classification in the Information Age
ISBN: 3540658556 ISBN-13(EAN): 9783540658559
Издательство: Springer
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Цена: 121110.00 T
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Описание: Presenting contributions to the analysis of data in the information age, this text is aimed at scientists and professionals in the field of classification and statistics. There are research results and applications to economics, archeology, bioinformatics, environment and health.

Автор: Volna Eva, Kotyrba Martin, Janosek Michal
Название: Pattern Recognition and Classification in Time Series Data
ISBN: 1522505652 ISBN-13(EAN): 9781522505655
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.

Автор: Richard Webber, Roger Burrows
Название: The Predictive Postcode: The Geodemographic Classification of British Society
ISBN: 1526402335 ISBN-13(EAN): 9781526402332
Издательство: Sage Publications
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Цена: 122490.00 T
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Описание: This book is a detailed, empirical investigation into the question of whether academic social research can compete with the commercial sector, with its new technologies and big data, in order to classify, profile, and understand us.

Автор: Hao
Название: Quantile Regression: v. 149
ISBN: 1412926289 ISBN-13(EAN): 9781412926287
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: Quantile Regression establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literatures exist for each subject matter, the authors explore the natural connections between this increasingly sought-after tool and research topics in the social sciences.

Автор: Henk A.L. Kiers; Jean-Paul Rasson; Patrick J.F. Gr
Название: Data Analysis, Classification, and Related Methods
ISBN: 3540675213 ISBN-13(EAN): 9783540675211
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceedings of the 7th Conference on the International Federation of Classification Societies (IFCS-2000), University of Namur, Belgium, 11-14 July, 2000