Name: Applied Plant Science Experimental Design and Statistical Analysis Using Sas® Ondemand for Academics (en Inglés)
Price: 64640.00 CLP
Availability: InStock
Author: Associate Professor Edward Durner
ISBN: 9781789245981

portada Applied Plant Science Experimental Design and Statistical Analysis Using Sas® Ondemand for Academics (en Inglés)

Formato

Libro Físico

Editorial

Cabi Publishing

Autor

Associate Professor Edward Durner

Año

2021

Idioma

Inglés

N° páginas

392

Encuadernación

Tapa Blanda

ISBN13

9781789245981

Categorías

Botánica y ciencias de las plantas

Applied Plant Science Experimental Design and Statistical Analysis Using Sas® Ondemand for Academics (en Inglés)

Associate Professor Edward Durner (Autor) · Cabi Publishing · Tapa Blanda

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Reseña del libro "Applied Plant Science Experimental Design and Statistical Analysis Using Sas® Ondemand for Academics (en Inglés)"

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book: - Covers experimental designs and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics such as merging data frames, multivariate analysis and linear regression Authored by an experienced teacher of applied plant science statistics, this book assumes no prior background in statistics and guides users through the appropriate methodologies in research. It is an invaluable tool for advanced undergraduate and graduate students, in addition to researchers, extension consultants, faculty and technicians.