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Image of - Statistical Data Analysis A Practical Guide | Hardcover
Statistical Data Analysis A Practical Guide | Hardcover

Statistical Data Analysis A Practical Guide | Hardcover

by Meloun Milan

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. * Presents a combination of individual topics in one complete volume featuring statistical analysis of univariate and multivariate data* Interspersed throughout with solved problems and experimental tasks suitable for extreme or small and large datasets* Features the interpretation of results based on the comprehensive information about data behaviour and validity of used assumptions

Highlights

  • binding-icon

    9780857091093

    ISBN:

  • binding-icon

    Meloun Milan

    Author:

  • binding-icon

    800

    Pages:

  • binding-icon

    1330 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2011

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

₹1836

₹2295

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. * Presents a combination of individual topics in one complete volume featuring statistical analysis of univariate and multivariate data* Interspersed throughout with solved problems and experimental tasks suitable for extreme or small and large datasets* Features the interpretation of results based on the comprehensive information about data behaviour and validity of used assumptions

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