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This new companion volume to Genstat 5: An Introduction will help to familiarize the reader with more sophisticated statistical techniques while introducing several more advanced applications of the popular, flexible Genstat computer system. The book includes the latest, most up-to-date information on regression analysis of grouped data, non-linear regression, contingency tables, and time series. It also provides an account of general programming using Genstat on regression analysis of grouped data, non-linear regression, contingency tables, and time series of grouped data, non-linear regression, contingency tables, and time series is included, while a handy overview of general programming using Genstat will be of use to all users of this program which is used worldwide in all areas where statistics is applied.
This text investigates the application of advanced statistical methodologies through the Genstat computer system, serving as a bridge between introductory concepts and complex analytical practice. The authors, Nick Galwey, Pete Digby, and Peter Lane, leverage their expertise in statistical computing to provide a structured guide for users seeking to expand their proficiency. The book functions as a technical manual that integrates theoretical statistical frameworks with the practical execution of commands within the Genstat environment.
What You Will Find
Experts and practitioners identify this volume as a necessary progression for users who have mastered basic Genstat functionality. Readers frequently note the technical density of the prose, which assumes a foundational understanding of statistical principles and software operation.
Page Count:
256
Publication Date:
1989-08-24
Publisher:
Oxford University Press
ISBN-10:
0198522010
ISBN-13:
9780198522010
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