Linear regression, Martin, Peter

Автор: Martin, Peter
Название: Regression models for categorical and count data
ISBN: 1529761263 ISBN-13(EAN): 9781529761269
Издательство: Sage Publications
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Цена: 4275.00 р.
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Описание: In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin provides practical guidance on conducting regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help of illuminating graphs.

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
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Цена: 25027.00 р.
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Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Автор: Hao
Название: Quantile Regression: v. 149
ISBN: 1412926289 ISBN-13(EAN): 9781412926287
Издательство: Sage Publications
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Цена: 5859.00 р.
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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: Roberts Aki, Roberts John M.
Название: Multiple Regression: A Practical Introduction
ISBN: 1544339704 ISBN-13(EAN): 9781544339702
Издательство: Sage Publications
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Цена: 13306.00 р.
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Описание: Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book are available on an accompanying website, along with solutions to the exercises (on the instructor site).

Автор: Andrew Gelman, Jennifer Hill, Aki Vehtari
Название: Regression and Other Stories
ISBN: 110702398X ISBN-13(EAN): 9781107023987
Издательство: Cambridge Academ
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Цена: 12989.00 р.
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Описание: Real statistical problems are complex and subtle. This text is about using regression to solve real problems of comparison, estimation, prediction, and causal inference, based on real stories from the authors` experience. It offers practical advice for understanding assumptions and implementing methods through graphics and computing in R and Stan.

Автор: Chi, Guangqing Zhu, Jun
Название: Spatial regression models for the social sciences
ISBN: 154430207X ISBN-13(EAN): 9781544302072
Издательство: Sage Publications
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Цена: 13306.00 р.
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Описание: Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061441 ISBN-13(EAN): 9781138061446
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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Описание: Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061425 ISBN-13(EAN): 9781138061422
Издательство: Taylor&Francis
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Цена: 33686.00 р.
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Описание: Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 1641132388 ISBN-13(EAN): 9781641132381
Издательство: Mare Nostrum (Eurospan)
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Цена: 14137.00 р.
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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: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
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Цена: 7623.00 р.
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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: Schroeder Larry D., Sjoquist David L., Stephan Pau
Название: Understanding Regression Analysis: An Introductory Guide
ISBN: 1506332889 ISBN-13(EAN): 9781506332888
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

Автор: Judd
Название: Data Analysis
ISBN: 1138819832 ISBN-13(EAN): 9781138819832
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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Описание: Noted for its model-comparison approach and unified framework based on the general linear model (GLM), this classic text provides readers with a greater understanding of a variety of statistical procedures including analysis of variance (ANOVA) and regression.