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Estimation and Inferential Statistics / by Pradip Kumar Sahu, Santi Ranjan Pal, Ajit Kumar Das.

By: Contributor(s): Edition: 1st ed. 2015Description: 1 online resource (XXIV, 317 pages 23 illustrations)ISBN:
  • 9788132225140
Subject(s): Additional physical formats: Print version:: Estimation and inferential statistics.; Printed edition:: No title; Printed edition:: No title; Printed edition:: No title
Contents:
1. Theory of Point Estimation -- 2. Methods of Estimation -- 3. Theory of testing of hypothesis -- 4. Likelihood Ratio Test -- 5. Interval Estimation -- 6. Non-parametric test -- 7. Statistical Decision Theory.
Summary: This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current methodological techniques used in statistics and related interdisciplinary areas. Every concept is supported with relevant research examples to help readers to find the most suitable application. Statistical tools have been presented by using real-life examples, removing the "fear factor" usually associated with this complex subject. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form.
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Holdings
Item type Current library Call number URL Status Date due Barcode Item holds
E-Book E-Book Strathmore University (Main Library) Online Resource Link to resource Not for loan Kaloleni - 4909
Total holds: 0

1. Theory of Point Estimation -- 2. Methods of Estimation -- 3. Theory of testing of hypothesis -- 4. Likelihood Ratio Test -- 5. Interval Estimation -- 6. Non-parametric test -- 7. Statistical Decision Theory.

This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current methodological techniques used in statistics and related interdisciplinary areas. Every concept is supported with relevant research examples to help readers to find the most suitable application. Statistical tools have been presented by using real-life examples, removing the "fear factor" usually associated with this complex subject. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form.

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