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Agricultural Statistical Data Analysis Using Stata, Boyhan



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Автор: Boyhan
Название:  Agricultural Statistical Data Analysis Using Stata   (Бойхан: Статистический анализ данных в сельском хозяйстве с использованием Stata)
Издательство: Taylor&Francis
Классификация:
Вероятность и статистика
Прикладная экология
Сельскохозяйственная наука

ISBN: 1466585854
ISBN-13(EAN): 9781466585850
ISBN: 1-466-58585-4
ISBN-13(EAN): 978-1-466-58585-0
Обложка/Формат: Paperback
Страницы: 264
Вес: 0.41 кг.
Дата издания: 07.06.2013
Серия: Mathematics
Язык: ENG
Иллюстрации: Equations-approx 50; 16 tables, black and white; 63 illustrations, black and white
Размер: 164 x 234 x 15
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Agricultural science, MATHEMATICS / Probability & Statistics / General,NATURE / Ecology,SCIENCE / Life Sciences / Botany
Ссылка на Издательство: Link
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Поставляется из: Англии
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 Statas strongest features, which is its programming ability. He also examines post hoc tests as well as Statas 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.


Дополнительное описание:




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: 5851 р.
Наличие на складе: Поставка под заказ.

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: 7941 р.
Наличие на складе: Поставка под заказ.

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.

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: 4171 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.

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: 5642 р.
Наличие на складе: Поставка под заказ.

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.

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
Рейтинг:
Цена: 6269 р.
Наличие на складе: Поставка под заказ.

Introduction to Stata Programming, Second Edition

Автор: Baum Christopher F.
Название: Introduction to Stata Programming, Second Edition
ISBN: 1597181501 ISBN-13(EAN): 9781597181501
Издательство: Taylor&Francis
Рейтинг:
Цена: 7941 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

In this second edition of An Introduction to Stata Programming, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as "cookbook recipes." This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimization routines.

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: 7627 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

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: 16093 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
Рейтинг:
Цена: 10240 р.
Наличие на складе: Невозможна поставка.

Описание: Provides coverage of the design principles and statistical concepts necessary to make sense of real data. This book provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. It reviews research planning and data exploration in statistics. It is suitable for practicing researchers.

An Introduction to Survival Analysis Using Stata, Revised Third Edition

Автор: Cleves
Название: An Introduction to Survival Analysis Using Stata, Revised Third Edition
ISBN: 1597181749 ISBN-13(EAN): 9781597181747
Издательство: Taylor&Francis
Рейтинг:
Цена: 7732 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versed in survival analysis but are not as dexterous in using Stata to analyze survival data. This text also serves as a valuable reference to those readers who already have experience using Stata’s survival analysis routines. The revised third edition has been updated for Stata 14, and it includes a new section on predictive margins and marginal effects, which demonstrates how to obtain and visualize marginal predictions and marginal effects using the margins and marginsplot commands after survival regression models. Survival analysis is a field of its own that requires specialized data management and analysis procedures. To meet this requirement, Stata provides the st family of commands for organizing and summarizing survival data. This book provides statistical theory, step-by-step procedures for analyzing survival data, an in-depth usage guide for Stata's most widely used st commands, and a collection of tips for using Stata to analyze survival data and to present the results. This book develops from first principles the statistical concepts unique to survival data and assumes only a knowledge of basic probability and statistics and a working knowledge of Stata. The first three chapters of the text cover basic theoretical concepts: hazard functions, cumulative hazard functions, and their interpretations; survivor functions; hazard models; and a comparison of nonparametric, semiparametric, and parametric methodologies. Chapter 4 deals with censoring and truncation. The next three chapters cover the formatting, manipulation, stsetting, and error checking involved in preparing survival data for analysis using Stata's st analysis commands. Chapter 8 covers nonparametric methods, including the Kaplan–Meier and Nelson–Aalen estimators and the various nonparametric tests for the equality of survival experience. Chapters 9–11 discuss Cox regression and include various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, model diagnostics, and regression with survey data. The next four chapters cover parametric models, which are fit using Stata's streg command. These chapters include detailed derivations of all six parametric models currently supported in Stata and methods for determining which model is appropriate, as well as information on stratification, obtaining predictions, and advanced topics such as frailty models. Chapter 16 is devoted to power and sample-size calculations for survival studies. The final chapter covers survival analysis in the presence of competing risks.

A Gentle Introduction to Stata, Fifth Edition

Автор: Acock
Название: A Gentle Introduction to Stata, Fifth Edition
ISBN: 1597181854 ISBN-13(EAN): 9781597181853
Издательство: Taylor&Francis
Рейтинг:
Цена: 7554 р.
Наличие на складе: Поставка под заказ.

Описание: Alan C. Acock’s A Gentle Introduction to Stata, Fifth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book.

An Introduction to Stata Programming

Автор: Baum, Christopher F.|
Название: An Introduction to Stata Programming
ISBN: 1597180459 ISBN-13(EAN): 9781597180450
Издательство: Taylor&Francis
Рейтинг:
Цена: 4701 р.
Наличие на складе: Поставка под заказ.

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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