Applied Statistics Using SPSS, STATISTICA, MATLAB and R

This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems,...

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Detalles Bibliográficos
Autor principal: De Sá, Joaquim P Marques
Lenguaje:eng
Publicado: Springer 2007
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-540-71972-4
http://cds.cern.ch/record/1338143
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author De Sá, Joaquim P Marques
author_facet De Sá, Joaquim P Marques
author_sort De Sá, Joaquim P Marques
collection CERN
description This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examp
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2007
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spelling cern-13381432021-04-22T01:07:19Zdoi:10.1007/978-3-540-71972-4http://cds.cern.ch/record/1338143engDe Sá, Joaquim P MarquesApplied Statistics Using SPSS, STATISTICA, MATLAB and RMathematical Physics and MathematicsThis practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical exampSpringeroai:cds.cern.ch:13381432007
spellingShingle Mathematical Physics and Mathematics
De Sá, Joaquim P Marques
Applied Statistics Using SPSS, STATISTICA, MATLAB and R
title Applied Statistics Using SPSS, STATISTICA, MATLAB and R
title_full Applied Statistics Using SPSS, STATISTICA, MATLAB and R
title_fullStr Applied Statistics Using SPSS, STATISTICA, MATLAB and R
title_full_unstemmed Applied Statistics Using SPSS, STATISTICA, MATLAB and R
title_short Applied Statistics Using SPSS, STATISTICA, MATLAB and R
title_sort applied statistics using spss, statistica, matlab and r
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-540-71972-4
http://cds.cern.ch/record/1338143
work_keys_str_mv AT desajoaquimpmarques appliedstatisticsusingspssstatisticamatlabandr

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