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Bayesian Analysis with Stata, Thompson John

Автор: Thompson John
Название:  Bayesian Analysis with Stata   (Джон Томпсон: Байесовский анализ с помощью Stata)
Издательство: Taylor&Francis
Классификация:
Вероятность и статистика

ISBN: 1597181412
ISBN-13(EAN): 9781597181419
ISBN: 1-59718-141-2
ISBN-13(EAN): 978-1-59718-141-9
Обложка/Формат: Paperback
Страницы: 302
Вес: 0.62 кг.
Дата издания: 12.06.2014
Язык: ENG
Иллюстрации: Illustrations
Размер: 22.61 x 18.29 x 2.03 cm
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Англии
Описание:

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Statas data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The books content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.



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An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 14586 р.
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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.

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Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 6264 р.
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Описание: A comprehensive introduction to both statistical methods and Stata, this text helps beginners learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. It also offers tips and tricks for readers already familiar with Stata. Step by step, the book leads readers through the entire process of data analysis, covering the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition also explores advanced topics such as standard errors in complex survey and multiple imputation.

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Applied Statistics Using Stata

Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen
Название: Applied Statistics Using Stata
ISBN: 1473913233 ISBN-13(EAN): 9781473913233
Издательство: Sage Publications
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Цена: 3328 р.
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Описание: Assiduously combining theory with plenty of practical, technical advice - and accompanied by original case studies and data sets - this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.

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Agricultural Statistical Data Analysis Using Stata

Автор: Boyhan
Название: Agricultural Statistical Data Analysis Using Stata
ISBN: 1466585854 ISBN-13(EAN): 9781466585850
Издательство: Taylor&Francis
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Цена: 5422 р.
Наличие на складе: Нет в наличии.

Описание:

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems.

The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata's strongest features, which is its programming ability. He also examines post hoc tests as well as Stata's graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data.

Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.

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An Introduction to Stata Programming

Автор: Baum, Christopher F.|
Название: An Introduction to Stata Programming
ISBN: 1597180459 ISBN-13(EAN): 9781597180450
Издательство: Taylor&Francis
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Цена: 4207 р.
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Описание:

This work focuses on three types of Stata programming: do-file programming, ado-file programming, and Mata functions that work in conjunction with do- and ado-files. It explains how to usefully automate work with Stata and how to use Stata more effectively through programming on one or more of these levels. After presenting elementary concepts of the command-line interface and commonly used tools for working with programs and data sets, the text follows a unique format by offering "cookbook" chapters after each main chapter. These cookbook chapters look at how to perform a specific programming task with Stata and provide a complete solution to the problem. The text also includes numerous examples of Mata, Stata's matrix programming language.

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Handbook of Statistical Analyses Using Stata, Fourth Edition

Автор: Everitt
Название: Handbook of Statistical Analyses Using Stata, Fourth Edition
ISBN: 1584887567 ISBN-13(EAN): 9781584887560
Издательство: Taylor&Francis
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Цена: 5142 р.
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Описание: Fully updated, the fourth edition of this highly acclaimed and perpetually bestselling text demonstrates how a wide variety of statistical analyses, including descriptive statistics, graphics, and model estimation and diagnostics, can be performed using Stata version 9. The authors present many of Stata’s novel features, including a new mixed-models estimation command and a new matrix language. This edition also contains additional exercises that use various data sets and numerous examples of real-life data, enabling a better understanding of the methodology. The book offers selected solutions in an appendix as well as a solutions manual with qualifying course adoptions.

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An Introduction to Forecasting Time Series Using Stata

Автор: Yaffee, Robert|
Название: An Introduction to Forecasting Time Series Using Stata
ISBN: 1597180157 ISBN-13(EAN): 9781597180153
Издательство: Taylor&Francis
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Цена: 5048 р.
Наличие на складе: Нет в наличии.

Описание: Explores forecasting times series with Stata 10. This work presents theory, modeling, programming, and interpretation of the major time series models, along with interesting applications to business and risk analysis in finance. It shows how to apply these techniques to real-life social science, economic, business, financial and medical data.

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Multilevel and Longitudinal Modeling Using Stata, Second Edition

Автор: Rabe-Hesketh, Sophia | Skrondal, Anders|
Название: Multilevel and Longitudinal Modeling Using Stata, Second Edition
ISBN: 1597180408 ISBN-13(EAN): 9781597180405
Издательство: Taylor&Francis
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Цена: 5609 р.
Наличие на складе: Нет в наличии.

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Data Management Using Stata

Автор: Mitchell
Название: Data Management Using Stata
ISBN: 1597180769 ISBN-13(EAN): 9781597180764
Издательство: Taylor&Francis
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Цена: 4487 р.
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Описание: Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section presents a self-contained lesson that uses examples to illustrate a particular data management task, such as creating data variables and automating error-checking. The text also discusses common pitfalls and how to avoid them, providing strategic data management advice.

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Discovering Structural Equation Modeling Using Stata

Автор: Acock
Название: Discovering Structural Equation Modeling Using Stata
ISBN: 1597181331 ISBN-13(EAN): 9781597181334
Издательство: Taylor&Francis
Цена: 4674 р.
Наличие на складе: Нет в наличии.

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Discovering Structural Equation Modeling Using Stata

Автор: Acock
Название: Discovering Structural Equation Modeling Using Stata
ISBN: 1597181390 ISBN-13(EAN): 9781597181396
Издательство: Taylor&Francis
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Цена: 4955 р.
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Описание: This practical guide explores all the features of Stata’s sem command. This revised edition includes output, syntax, and instructions for fitting models with the Stata 13 SEM Builder. It shows how this graphical interface allows users to draw publication-quality path diagrams and fit the models without writing any programming code. Each model is presented along with the necessary Stata code. The datasets used are available for download online.

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Regression Models for Categorical Dependent Variables Using Stata, Third Edition

Автор: Long
Название: Regression Models for Categorical Dependent Variables Using Stata, Third Edition
ISBN: 1597181110 ISBN-13(EAN): 9781597181112
Издательство: Taylor&Francis
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Цена: 5796 р.
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Описание: This book shows how to use Stata to fit and interpret regression models for categorical data. The third edition is a complete rewrite of the book. Factor variables and the margins command changed how the effects of variables can be estimated and interpreted. In addition, the authors' views on interpretation have evolved. The changes to Stata and to the authors' views inspired the authors to completely rewrite their popular SPost commands to take advantage of the power of the margins command and the flexibility of factor-variable notation.

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