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An Introduction to Survival Analysis Using Stata, Revised Third Edition, Cleves, Mario


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Цена: 75530.00T
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При оформлении заказа до: 2025-08-18
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Автор: Cleves, Mario
Название:  An Introduction to Survival Analysis Using Stata, Revised Third Edition
ISBN: 9781597181747
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1597181749
Обложка/Формат: Paperback
Страницы: 428
Вес: 0.91 кг.
Дата издания: 10.05.2016
Язык: English
Издание: 4 ed
Размер: 232 x 184 x 28
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Европейский союз

      Старое издание

Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata

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.

An Introduction to Stata Programming, Second Edition

Автор: Baum, Christopher F.
Название: An Introduction to Stata Programming, Second Edition
ISBN: 1597181501 ISBN-13(EAN): 9781597181501
Издательство: Taylor&Francis
Рейтинг:
Цена: 77570.00 T
Наличие на складе: Нет в наличии.

Data Management Using Stata

Автор: Mitchell, Michael N.
Название: Data Management Using Stata
ISBN: 1597180769 ISBN-13(EAN): 9781597180764
Издательство: Taylor&Francis
Рейтинг:
Цена: 68390.00 T
Наличие на складе: Нет в наличии.

R for Stata Users

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.

An introduction to Stata for health researchers /

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.

Applied Meta-Analysis with R and Stata

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.

Applied Statistics and Multivariate Data Analysis

Автор: Thomas Cleff
Название: Applied Statistics and Multivariate Data Analysis
ISBN: 3030177661 ISBN-13(EAN): 9783030177669
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Поставка под заказ.
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.

Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using Spss, Stata, and Excel

Автор: Cleff Thomas
Название: Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using Spss, Stata, and Excel
ISBN: 3030177696 ISBN-13(EAN): 9783030177690
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Workflow of data analysis using stata

Автор: Long, J. Scott (indiana University, Bloomington, Usa)
Название: Workflow of data analysis using stata
ISBN: 1597180475 ISBN-13(EAN): 9781597180474
Издательство: Taylor&Francis
Рейтинг:
Цена: 65320.00 T
Наличие на складе: Невозможна поставка.
Описание: Suitable for data analysts, this book demonstrates how to design and implement efficient workflows for both one-person projects and team projects. It describes planning, organizing, and documenting your work. It then introduces how to write and debug Stata do-files and how to use local and global macros.

Environmental econometrics using 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.


Discovering Structural Equation Modeling Using Stata

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: 77570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1

Автор: Das Panchanan
Название: Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
ISBN: 9813290188 ISBN-13(EAN): 9789813290181
Издательство: Springer
Рейтинг:
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


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