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Synopsis
Over the past decade, computer supported data analysis by statistical methods has been one of the fastest growth areas in chemometrics, biometrics and other related branches of natural, technical and social sciences. This has been strongly supported by the development of exploratory data analysis, testing assumptions about data, model and statistical methods and computer intensive techniques. This book presents a combination of individual topics with solved problems and a collection of experimental tasks. Methods suitable for extreme or small and large datasets are described.
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About the Author
Milan Meloun is Professor of Chemometrics at Department of Analytical Chemistry, Faculty of Chemical Technology, Technical University of Liberec, Czech Republic.
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Statistical Data Analysis: A Practical Guide (Woodhead Publishing India)
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