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Estimation and inferential statistics

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 professio...

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Detalles Bibliográficos
Autores principales: Sahu, Pradip Kumar, Pal, Santi Ranjan, Das, Ajit Kumar
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-81-322-2514-0
http://cds.cern.ch/record/2112923
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author Sahu, Pradip Kumar
Pal, Santi Ranjan
Das, Ajit Kumar
author_facet Sahu, Pradip Kumar
Pal, Santi Ranjan
Das, Ajit Kumar
author_sort Sahu, Pradip Kumar
collection CERN
description 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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spelling cern-21129232021-04-21T20:00:31Zdoi:10.1007/978-81-322-2514-0http://cds.cern.ch/record/2112923engSahu, Pradip KumarPal, Santi RanjanDas, Ajit KumarEstimation and inferential statisticsMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:21129232015
spellingShingle Mathematical Physics and Mathematics
Sahu, Pradip Kumar
Pal, Santi Ranjan
Das, Ajit Kumar
Estimation and inferential statistics
title Estimation and inferential statistics
title_full Estimation and inferential statistics
title_fullStr Estimation and inferential statistics
title_full_unstemmed Estimation and inferential statistics
title_short Estimation and inferential statistics
title_sort estimation and inferential statistics
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-81-322-2514-0
http://cds.cern.ch/record/2112923
work_keys_str_mv AT sahupradipkumar estimationandinferentialstatistics
AT palsantiranjan estimationandinferentialstatistics
AT dasajitkumar estimationandinferentialstatistics