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Titlebook: Applied Statistics Using SPSS, STATISTICA, MATLAB and R; Joaquim P. Marques de Sá Book 2007Latest edition Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-21 16:32:26 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Statistics Using SPSS, STATISTICA, MATLAB and R
影響因子2023Joaquim P. Marques de Sá
視頻videohttp://file.papertrans.cn/161/160160/160160.mp4
發(fā)行地址Wide coverage of Statistical topics and methods.Application to real life data and problems in various fields.Guidance on how to use STATISTICA, SPSS, MATLAB and R in statistical analysis applications
圖書封面Titlebook: Applied Statistics Using SPSS, STATISTICA, MATLAB and R;  Joaquim P. Marques de Sá Book 2007Latest edition Springer-Verlag Berlin Heidelber
影響因子Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept – concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets –, has been retained. The second edition improvements are as follows: ? Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. ? Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. ? A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. ? Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more tho
Pindex Book 2007Latest edition
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Book 2007Latest editiontions. ? A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. ? Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more tho
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Book 2007Latest editionm students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept – concise but sufficiently rigorous mathematical treatment with emphasis on com
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Joaquim P. Marques de SáWide coverage of Statistical topics and methods.Application to real life data and problems in various fields.Guidance on how to use STATISTICA, SPSS, MATLAB and R in statistical analysis applications
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