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Linear regression, Martin, Peter


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Цена: 5384.00р.
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Автор: Martin, Peter
Название:  Linear regression
ISBN: 9781526424174
Издательство: Sage Publications
Классификация:
ISBN-10: 1526424177
Обложка/Формат: Paperback
Страницы: 200
Вес: 0.36 кг.
Дата издания: 21.03.2022
Серия: The sage quantitative research kit
Язык: English
Размер: 170 x 241 x 22
Ключевые слова: Research & information: general,Research methods: general,Social research & statistics
Подзаголовок: An introduction to statistical models
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Поставляется из: Англии
Описание:

This text introduces the fundamental linear regression models used in quantitative research.  It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on:

  • Deciding the most appropriate model to use for your research
  • Conducting simple and multiple linear regression
  • Checking model assumptions and the dangers of overfitting

Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.





Applied Regression Analysis and Generalized Linear Models

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: 27562.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Regression models for categorical and count data

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: 5384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Quantile Regression: v. 149

Автор: Hao
Название: Quantile Regression: v. 149
ISBN: 1412926289 ISBN-13(EAN): 9781412926287
Издательство: Sage Publications
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Цена: 6493.00 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.

Multiple Regression: A Practical Introduction

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: 14731.00 р.
Наличие на складе: Поставка под заказ.

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).

Using classification and regression trees

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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Using classification and regression trees

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 7623.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Understanding Regression Analysis: An Introductory Guide

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: 6493.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

Fixed Effects Regression Models

Автор: Paul D Allison
Название: Fixed Effects Regression Models
ISBN: 0761924973 ISBN-13(EAN): 9780761924975
Издательство: Sage Publications
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Цена: 6493.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts.


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