Complete Data Analysis Using R: Your Applied Manual, Marco Lehmann

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Нет в наличии.
Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.

Автор: Tran Thanh V., Chan Keith T.
Название: Applied Cross-Cultural Data Analysis for Social Work
ISBN: 0190888512 ISBN-13(EAN): 9780190888510
Издательство: Oxford Academ
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Цена: 39060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Charles Perrings and Ann Kinzig address the broad problem of conservation, the principles that inform conservation choices, and the application of those principles to the management of the natural world. Conservation examines how conservation choices are made and demonstrates how decisions of one person or one community at one time or place affect people or communities at other times or places.

Автор: Lynch, Scott M.
Название: Applied bayesian statistics
ISBN: 154433463X ISBN-13(EAN): 9781544334639
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание:

Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey.

Автор: Jarman Kristin H
Название: Art of Data Analysis
ISBN: 1118411315 ISBN-13(EAN): 9781118411315
Издательство: Wiley
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Цена: 59080.00 T
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Описание: With a focus on presenting basic statistical concepts in a friendly and accessible style, this book focuses on the more subjective side of statistics the art of data analysis.

Автор: Salmona Michelle
Название: Qualitative and Mixed Methods Data Analysis Using Dedoose
ISBN: 1506397816 ISBN-13(EAN): 9781506397818
Издательство: Sage Publications
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Цена: 63360.00 T
Наличие на складе: Поставка под заказ.
Описание: Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose (R) software.

Автор: Lehmann, Marco
Название: Complete data analysis using r
ISBN: 1473913659 ISBN-13(EAN): 9781473913653
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gets you up and running with using R in your research project, focusing on data analysis.

Автор: Pallant Julie
Название: SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS
ISBN: 1760875538 ISBN-13(EAN): 9781760875534
Издательство: Taylor&Francis
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Цена: 32650.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

In her bestselling manual, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your results in a report.

For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.

This seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output.

A website with support materials for students and lecturers is available at https: //routledgetextbooks.com/textbooks/9781760875534/

Автор: Enders, Craig K.
Название: Applied missing data analysis, second edition
ISBN: 1462549861 ISBN-13(EAN): 9781462549863
Издательство: Taylor&Francis
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Цена: 71450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website (www.appliedmissingdata.com) includes data sets and analysis examples from the book, up-to-date software information, and other resources. New to This Edition *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables. *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics. *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples. *Most of the book is entirely new.

Автор: Tang, Wan (tulane University, New Orleans, La) He, Hua (tulane University) Tu, Xin M. (university Of California-san Diego)
Название: Applied categorical and count data analysis
ISBN: 0367568276 ISBN-13(EAN): 9780367568276
Издательство: Taylor&Francis
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Цена: 81650.00 T
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Описание: This second edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. It covers classic concepts and popular topics, such as logistic regression models, along with modern areas including models for zero-modified count outcomes.

Автор: Cook, Richard J
Название: Multistate Models for the Analysis of Life History Data
ISBN: 0367571722 ISBN-13(EAN): 9780367571726
Издательство: Taylor&Francis
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Цена: 47970.00 T
Наличие на складе: Нет в наличии.

Автор: Heeringa, Steven G.
Название: Applied Survey Data Analysis
ISBN: 036773611X ISBN-13(EAN): 9780367736118
Издательство: Taylor&Francis
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Цена: 48990.00 T
Наличие на складе: Нет в наличии.

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
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.