Name: Agricultural Statistical Data Analysis Using Stata (en Inglés)
Price: 220360.00 CLP
Availability: InStock
Author: Boyhan, George
ISBN: 9781138401495

portada Agricultural Statistical Data Analysis Using Stata (en Inglés)

Formato

Libro Físico

Autor

George Boyhan

Editorial

CRC Press

Idioma

Inglés

N° páginas

264

Encuadernación

Tapa Dura

ISBN13

9781138401495

N° edición

Categorías

Probabilidad y estadística
Botánica y ciencias de las plantas
Ecología aplicada

Agricultural Statistical Data Analysis Using Stata (en Inglés)

George Boyhan (Autor) · CRC Press · Tapa Dura

Libro Físico

$ 220.360

$ 400.660

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Reseña del libro "Agricultural Statistical Data Analysis Using Stata (en Inglés)"

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.