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Thirty Years With Stata, A Retrospe, 



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Название:  Thirty Years With Stata, A Retrospe
Издательство: Taylor&Francis
Классификация:
Вероятность и статистика

ISBN: 1597181722
ISBN-13(EAN): 9781597181723
ISBN: 1-59718-172-2
ISBN-13(EAN): 978-1-59718-172-3
Обложка/Формат: Paperback
Страницы: 148
Вес: 0.334 кг.
Дата издания: 19.08.2015
Серия: Mathematics
Язык: English
Размер: 243 x 185 x 11
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistics & Probability
Подзаголовок: A retrospective
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This volume is a sometimes serious and sometimes whimsical retrospective of Stata, its development, and its use over the last 30 years. The view from the inside opens with an essay by Bill Gould, Statas president and cofounder, that discusses the challenges and concepts that guided the design and implementation of Stata. This is followed by an interview of Bill by Joe Newton that discusses Bills early interest in computing, his early work on a program for matching prom dates in the days when you had to purchase time on computers, and further exploration of the guiding principles behind Stata. Finally, Sean Becketti, Statas first employee, delves into the not-to-be-missed culture of Stata in its infancy. The view from the outside comprises 14 essays by prominent researchers and members of the Stata community. Most discuss Statas use and evolution in disciplines such as behavioral sciences, business, economics, epidemiology, time series, political science, public health, public policy, veterinary epidemiology, and statistics. Some take a sweeping overview. Others are more intimate personal recollections. Mostly, we simply wanted to celebrate the relationship between Stata users and Stata software. We hope that this volume holds something interesting for everyone.



Bayesian Analysis with Stata

Автор: Thompson John
Название: Bayesian Analysis with Stata
ISBN: 1597181412 ISBN-13(EAN): 9781597181419
Издательство: Taylor&Francis
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Цена: 6467 р.
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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 Stata's 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 book's 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.

Meta-Analysis in Stata

Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors)
Название: Meta-Analysis in Stata
ISBN: 1597181471 ISBN-13(EAN): 9781597181471
Издательство: Taylor&Francis
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Цена: 8777 р.
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Описание: Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature. Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.

Introduction to Time Series Using Stata

Автор: Becketti
Название: Introduction to Time Series Using Stata
ISBN: 1597181323 ISBN-13(EAN): 9781597181327
Издательство: Taylor&Francis
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Цена: 8546 р.
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Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries 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. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.

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: 5196 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.

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: 8777 р.
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Описание: Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.

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: 6236 р.
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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.

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: 9182 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.

Speaking Stata Graphics

Автор: Nicholas J. Cox
Название: Speaking Stata Graphics
ISBN: 1597181447 ISBN-13(EAN): 9781597181440
Издательство: Taylor&Francis
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Цена: 7622 р.
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Описание: Speaking Stata Graphics is ideal for researchers who want to produce effective, publication-quality graphs. A compilation of articles from the popular Speaking Stata column by Nicholas J. Cox, this book provides valuable insights about Stata`s built-in and user-written statistical-graphics commands.

Interpreting and Visualizing Regression Models Using Stata

Автор: Mitchell
Название: Interpreting and Visualizing Regression Models Using Stata
ISBN: 1597181072 ISBN-13(EAN): 9781597181075
Издательство: Taylor&Francis
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Цена: 8777 р.
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Описание: Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless of the audience. As an example, many experienced researchers start to squirm when asked to give a simple explanation of the applied meaning of interactions in nonlinear models such as logistic regression. The tools in Mitchell's book make this task much more enjoyable and comprehensible. Mitchell starts with simple linear regression (which is simple in all ways), and then adds polynomials and discontinuities. This is followed by 2-way and 3-way interaction until interpretation of coefficients through words is difficult. By careful use of Stata's marginsplot command, Mitchell shows how well graphs can be used to show effects. He also includes careful verbal interpretation of coefficients to make communications complete. He then extends the methods from linear regression to various types of nonlinear regression, such as multilevel or survival models. A significant difference between this book and most others on regression models is that Mitchell spends quite some time on fitting and visualizing discontinuous models' models where the outcome can change value suddenly at thresholds. Such models are natural in settings such as education and policy evaluation, where graduation or policy changes can make sudden changes in income or revenue. This book is a worthwhile addition to the library of anyone involved in statistical consulting, teaching, or collaborative applied statistical environments.

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: 8430 р.
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Описание: Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

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: 7853 р.
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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.

Understanding Political Science Statistics and Understanding PS Stats using STATA (bundle)

Автор: Galderisi
Название: Understanding Political Science Statistics and Understanding PS Stats using STATA (bundle)
ISBN: 113885574X ISBN-13(EAN): 9781138855748
Издательство: Taylor&Francis
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Цена: 7737 р.
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Описание:

By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science, Understanding Political Science Statistics illustrates how students can apply statistical concepts and techniques in their own research, in future coursework, and simply as an informed consumer of numbers in public discourse. Here, the book is paired with the corresponding manual that walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets.


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