Genstat 5 is a flexible system for statistical analysis. It is the latest redesigned and updated version of the Genstat system which is used worlwide in all areas of application of statistics. Genstat 5 runs both interactively and in batch mode on a wide range of computers, from micros to mainframes. It provides a full programming language for convenient specification of statistical problems, which gives a unified framework for diverse standard methods and allows the specification of new and non-standard techniques. This book explains how to use Genstat 5. Through practical examples drawn from many applications of statistics, the reader is shown central features of the language, controlling the input and transformation data, and their graphical and tabular presentation. The first course also introduces regression analysis and the analysis of designed experiments. There are exercises at the end of each chapter to encourage you to write and run programs in the Genstat language; solutions are provided. This is aimed at applied statisticians, researchers in agriculture, medicine, social science, economics and students in statistics.
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Genstat 5 is a flexible system for statistical analysis. It is the latest redesigned and updated version of the Genstat system which is used worlwide in all areas of application of statistics. Genstat 5 runs both interactively and in batch mode on a wide range of computers, from micros to mainframes. It provides a full programming language for convenient specification of statistical problems, which gives a unified framework for diverse standard methods and allows the specification of new and non-standard techniques. This book explains how to use Genstat 5. Through practical examples drawn from many applications of statistics, the reader is shown central features of the language, controlling the input and transformation data, and their graphical and tabular presentation. The first course also introduces regression analysis and the analysis of designed experiments. There are exercises at the end of each chapter to encourage you to write and run programs in the Genstat language; solutions are provided. This is aimed at applied statisticians, researchers in agriculture, medicine, social science, economics and students in statistics.
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