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Titlebook: Statistical Learning from a Regression Perspective; Richard A. Berk Textbook 20162nd edition Springer Nature Switzerland AG 2016 classific

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發(fā)表于 2025-3-21 17:30:20 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Statistical Learning from a Regression Perspective
編輯Richard A. Berk
視頻videohttp://file.papertrans.cn/877/876465/876465.mp4
概述Accessible discussion of statistical learning procedures for practitioners with real-world applications in the social and policy sciences.Methods also of interest in the natural sciences and engineeri
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Statistical Learning from a Regression Perspective; Richard A. Berk Textbook 20162nd edition Springer Nature Switzerland AG 2016 classific
描述This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.?.This fully revised new edition includes important developments over the past 8 years. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis derives from sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. As in the first edition, a unifying theme is supervised learning that can be treated as a form of regression analysis. Key concepts and procedures are illustrated with real applications, especially those with practical implications.?.The material is written for upper undergraduate level and graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. The author uses this book in a course on modern regression for the social, behavioral, and biological sciences. All of the analyses included are done in R with code
出版日期Textbook 20162nd edition
關(guān)鍵詞classification; random forests; statistical learning; support vector machines; regression analysis; stati
版次2
doihttps://doi.org/10.1007/978-3-319-44048-4
isbn_softcover978-3-319-82969-2
isbn_ebook978-3-319-44048-4Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer Nature Switzerland AG 2016
The information of publication is updating

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發(fā)表于 2025-3-21 21:14:19 | 只看該作者
Richard A. Berkl proficiency examinations which include, as part of their content, material dealing with general and systemic pathology. As such, the notes are not intended to replace the many fine textbooks of pathology whose scope, detail, and mission are more suited to the in depth study of pathology. Rather, t
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Richard A. Berkl proficiency examinations which include, as part of their content, material dealing with general and systemic pathology. As such, the notes are not intended to replace the many fine textbooks of pathology whose scope, detail, and mission are more suited to the in depth study of pathology. Rather, t
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發(fā)表于 2025-3-22 20:30:00 | 只看該作者
Richard A. Berkl proficiency examinations which include, as part of their content, material dealing with general and systemic pathology. As such, the notes are not intended to replace the many fine textbooks of pathology whose scope, detail, and mission are more suited to the in depth study of pathology. Rather, t
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Richard A. Berkncy examinations which include, as part of their content, material dealing with general and systemic pathology. As such, the notes are not intended to replace the many fine textbooks of pathology whose scope, detail, and mission are more suited to the in depth study of pathology. Rather, these notes
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Richard A. Berkncy examinations which include, as part of their content, material dealing with general and systemic pathology. As such, the notes are not intended to replace the many fine textbooks of pathology whose scope, detail, and mission are more suited to the in depth study of pathology. Rather, these notes
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