An Introduction to Stata Programming, Second Edition, Baum, Christopher F.
Старое издание
Автор: A. Colin Cameron, Pravin K. Trivedi Название: Microeconometrics Using Stata, Second Edition, Volumes I and II ISBN: 1597183598 ISBN-13(EAN): 9781597183598 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods.
Автор: Acock, Alan C. Название: A Gentle Introduction to Stata, Revised Sixth Edition ISBN: 1597183679 ISBN-13(EAN): 9781597183673 Издательство: Taylor&Francis Рейтинг: Цена: 61240.00 T Наличие на складе: Нет в наличии.
Автор: Robert A. Muenchen; Joseph M. Hilbe Название: R for Stata Users ISBN: 1461425964 ISBN-13(EAN): 9781461425960 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses.A glossary defines over 50 R terms using Stata jargon and again using more formal R terminology.
Автор: Bartolucci Название: Statistical Analysis of Questionnaires ISBN: 1466568496 ISBN-13(EAN): 9781466568495 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing.
The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning.
Stata and R software codes are included for each method. To enhance comprehension, the book employs real datasets in the examples and illustrates the software outputs in detail. The datasets are available on the authors' web page.
Автор: Juul, Svend, Название: An introduction to Stata for health researchers / ISBN: 1597183156 ISBN-13(EAN): 9781597183154 Издательство: Taylor&Francis Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: James Garratt explores the revival of sixteenth-century music in nineteenth-century Germany, focusing on the reception of Palestrina by critics, historians, performers and composers. This book will interest scholars, students and devotees of nineteenth-century music, and those interested in nineteenth-century culture, art, architecture, literature and aesthetics, and the early music revival.
Автор: Cleff Thomas Название: Exploratory Data Analysis in Business and Economics ISBN: 3319015168 ISBN-13(EAN): 9783319015163 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Exploratory Data Analysis in Business and Economics
Автор: Stockemer Daniel Название: Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata ISBN: 3319991175 ISBN-13(EAN): 9783319991177 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Невозможна поставка. Описание: In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey.
Автор: Becketti, Sean Название: Introduction to time series using stata, revised edition ISBN: 1597183067 ISBN-13(EAN): 9781597183062 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques-from the incredibly simple to the quite complex- and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package.
Автор: Ding-Geng (Din) Chen, Karl E. Peace Название: Applied Meta-Analysis with R and Stata ISBN: 0367183838 ISBN-13(EAN): 9780367183837 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.
Автор: Baum, Christopher F, Название: Environmental econometrics using Stata / ISBN: 1597183555 ISBN-13(EAN): 9781597183550 Издательство: Taylor&Francis Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data.
While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlying a reduced-form approach must be competently executed. Environmental Econometrics Using Stata provides an important starting point for this journey by presenting a broad range of applied econometric techniques for environmental econometrics and illustrating how they can be applied in Stata.
The emphasis is not only on how to formulate and fit models in Stata but also on the need to use a wide range of diagnostic tests in order to validate the results of estimation and subsequent policy conclusions. This focus on careful, reproducible research should be appreciated by academic and non-academic researchers who are seeking to produce credible, defensible conclusions about key issues in environmental science.
Автор: Suarez, Erick L. Perez, Cynthia M. Nogueras, Graciela M. Moreno-gorrin, Camille Название: Biostatistics in public health using stata ISBN: 1498721990 ISBN-13(EAN): 9781498721998 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies.
The book shares the authors' insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA. Each chapter is based on one or more research problems linked to public health. Additionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. Presenting high-level statistics in an accessible manner across research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the statistical applications in public health. For readers new to STATA, the first three chapters should be read sequentially, as they form the basis of an introductory course to this software.
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