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NONPARAMETRIC STATISTNONPARAMETRIC STATISTICAL METHODSICAL METHODS

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NONPARAMETRIC STATISTNONPARAMETRIC STATISTICAL METHODSICAL METHODS

NONPARAMETRIC STATISTNONPARAMETRIC STATISTICAL METHODSICAL METHODS

Book Details

  • Publisher: Scientific International Pvt. Ltd.

  • ISBN: 9789385998683

  • Author: Bhattacharya Debasish

  • Subject: Mathematics

  • Language: English

  • Binding: Paperback

  • Copyright Year: 2017

About the Book

Nonparametric Statistical Methods provides a comprehensive and accessible exploration of nonparametric statistical techniques. The book is written in a student-friendly manner, covering both procedural and conceptual aspects of the subject. It emphasizes the analysis and interpretation of data, guiding readers in selecting the appropriate nonparametric statistical tools for various situations.

The concepts are explained through solved examples from real-life scenarios across diverse fields, including agriculture, social sciences, medicine, management, business, psychology, and epidemiology. This approach helps students and researchers apply nonparametric methods to their specific disciplines. Emphasis is placed on the types of data and the conditions under which nonparametric procedures are best suited.

The book is ideal for students and researchers in mathematics, statistics, and related fields, providing an easy-to-understand introduction to nonparametric statistics.

$2.83
NONPARAMETRIC STATISTNONPARAMETRIC STATISTICAL METHODSICAL METHODS
$2.83

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Book Details

  • Publisher: Scientific International Pvt. Ltd.

  • ISBN: 9789385998683

  • Author: Bhattacharya Debasish

  • Subject: Mathematics

  • Language: English

  • Binding: Paperback

  • Copyright Year: 2017

About the Book

Nonparametric Statistical Methods provides a comprehensive and accessible exploration of nonparametric statistical techniques. The book is written in a student-friendly manner, covering both procedural and conceptual aspects of the subject. It emphasizes the analysis and interpretation of data, guiding readers in selecting the appropriate nonparametric statistical tools for various situations.

The concepts are explained through solved examples from real-life scenarios across diverse fields, including agriculture, social sciences, medicine, management, business, psychology, and epidemiology. This approach helps students and researchers apply nonparametric methods to their specific disciplines. Emphasis is placed on the types of data and the conditions under which nonparametric procedures are best suited.

The book is ideal for students and researchers in mathematics, statistics, and related fields, providing an easy-to-understand introduction to nonparametric statistics.

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