An Introduction to Survival Analysis Using Stata, Revised Third Edition, Cleves, Mario
Старое издание
Автор: Juul, Svend, Название: An introduction to Stata for health researchers / ISBN: 1597183156 ISBN-13(EAN): 9781597183154 Издательство: Taylor&Francis Рейтинг: Цена: 9186.00 р. 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: 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: 21437.00 р. 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: Thomas Cleff Название: Applied Statistics and Multivariate Data Analysis ISBN: 3030177661 ISBN-13(EAN): 9783030177669 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Нет в наличии.
Описание: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.
Описание: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.
Автор: Baum, Christopher F, Название: Environmental econometrics using Stata / ISBN: 1597183555 ISBN-13(EAN): 9781597183550 Издательство: Taylor&Francis Рейтинг: Цена: 9186.00 р. 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: Acock, Alan C. (University of Aarhus, Denmark) Название: Discovering Structural Equation Modeling Using Stata ISBN: 1597181390 ISBN-13(EAN): 9781597181396 Издательство: Taylor&Francis Рейтинг: Цена: 11636.00 р. Наличие на складе: Нет в наличии.
Описание: Lexical Conflict combines theoretical and applied linguistic perspectives to explore the lexical richness of over 100 world languages. The text systematises cross-linguistic and cross-cultural differences, and then formulates strategies of lexicographic treatment across these differences, building a foundation for the establishment of similar solutions in other branches of applied linguistics.
Автор: Baum, Christopher F. Название: An Introduction to Stata Programming, Second Edition ISBN: 1597181501 ISBN-13(EAN): 9781597181501 Издательство: Taylor&Francis Рейтинг: Цена: 11636.00 р. Наличие на складе: Нет в наличии.
Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
Автор: Kothari Prasad Название: Data Analysis with STATA ISBN: 178217317X ISBN-13(EAN): 9781782173175 Издательство: Неизвестно Рейтинг: Цена: 7539.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Peace, Karl E. (georgia Southern University,usa) Chen, Ding-geng (din) (university Of North Carolina, Usa) Название: Applied meta-analysis with r and stata ISBN: 0367709341 ISBN-13(EAN): 9780367709341 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. 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: Bartolucci, Francesco Название: Statistical Analysis of Questionnaires ISBN: 1032477288 ISBN-13(EAN): 9781032477282 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Нет в наличии.
Автор: Mitchell, Michael N. (ucla Academic Technology Services Consulting Group, Los Angeles, California, Usa) Название: Data management using stata ISBN: 1597183180 ISBN-13(EAN): 9781597183185 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout. It is useful both as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills.
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