Applied Survey Data Analysis, Second Edition, Heeringa
Старое издание
Автор: Heeringa Название: Applied Survey Data Analysis ISBN: 1420080660 ISBN-13(EAN): 9781420080667 Издательство: Taylor&Francis Цена: 9211 р. Наличие на складе: Поставка под заказ. Описание: With many examples and exercises based on major real-world survey data sets, this book provides a practical statistical overview of the analysis of complex sample survey data. It presents many methods and models for survey data analysis, including the linear regression, generalized linear, Cox proportional hazards, and discrete time models. It also explores new developments in advanced statistical techniques, such as multilevel analysis of survey data. The authors show how design characteristics are easily incorporated into the statistical methods and software for survey estimation and inference. Although Stata is used for most examples in the text, other software code is also offered on the book’s website.
Автор: Enders, Craig K. Название: Applied Missing Data Analysis ISBN: 1606236393 ISBN-13(EAN): 9781606236390 Издательство: Taylor&Francis Рейтинг: Цена: 7286 р. Наличие на складе: Невозможна поставка.
Описание: Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Agresti Alan Название: Categorical Data Analysis ISBN: 0470463635 ISBN-13(EAN): 9780470463635 Издательство: Wiley Рейтинг: Цена: 18970 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis. " Statistics in Medicine "It is a total delight reading this book.
Описание: With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.New to This Edition Updated throughout to incorporate important developments in latent variable modeling. Chapter on Bayesian CFA and multilevel measurement models. Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. Utilizes the latest versions of major latent variable software packages.
Автор: Menard S Название: Applied Logistic Regression Analysis: Second Edition ISBN: 0761922083 ISBN-13(EAN): 9780761922087 Издательство: Sage Publications Рейтинг: Цена: 3148 р. Наличие на складе: Поставка под заказ.
Описание: The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.
Описание: With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.New to This Edition Updated throughout to incorporate important developments in latent variable modeling. Chapter on Bayesian CFA and multilevel measurement models. Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. Utilizes the latest versions of major latent variable software packages.
Название: Analysis of longitudinal data ISBN: 0199676755 ISBN-13(EAN): 9780199676750 Издательство: Oxford Academ Рейтинг: Цена: 5887 р. Наличие на складе: Поставка под заказ.
Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.
Автор: Jobson Название: Applied Multivariate Data Analysis ISBN: 0387978046 ISBN-13(EAN): 9780387978048 Издательство: Springer Рейтинг: Цена: 16164 р. Наличие на складе: Поставка под заказ.
Описание: This books presents an easy to read and wide-ranging introduction to techniques in multivariate analysis. It covers all the traditional topics of multivariate
analysis including multidimensional contingency tables, logistic regression, cluster analysis, multidimensional scaling, and correspondence analysis. It is the companion volume to Volume
I: Regression and Experimental Design published in 1991.
The emphasis on the practicalities of the subject, and the author has included numerous analyses of real data sets
drawn from a wide range of business, social sciences, and biological sciences settings. There are also many exercises which are designed to extend the analyses of the data sets
including the use of statistical computing packages, and to cover further theoretical results relevant to the book. As a result, any student whose work uses these techniques will find this
to be an excellent introduction to the subject.
Автор: Bivand, Roger S. Pebesma, Edzer J. Gomez-rubio, Vi Название: Applied spatial data analysis with r ISBN: 0387781706 ISBN-13(EAN): 9780387781709 Издательство: Springer Рейтинг: Цена: 6578 р. Наличие на складе: Поставка под заказ.
Описание: Presents R packages, functions, classes and methods for handling spatial data. This book covers data import and export for many file formats for spatial data. It showcases specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping.
Автор: Xiao–Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding Название: Applied Missing Data Analysis in the Health Sciences ISBN: 0470523816 ISBN-13(EAN): 9780470523810 Издательство: Wiley Рейтинг: Цена: 12031 р. Наличие на складе: Поставка под заказ.
Описание: A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications , Applied Missing Data Analysis in the Health Sciences outlines the
Автор: Jobson Название: Applied Multivariate Data Analysis ISBN: 0387976604 ISBN-13(EAN): 9780387976600 Издательство: Springer Рейтинг: Цена: 11544 р. Наличие на складе: Поставка под заказ.
Описание: An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of
the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the
reader has the background equivalent to an introductory book in statistical inference.
Can be read easily by those who have had brief exposure to calculus and linear algebra.
Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research
methodology.
In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
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