找回密碼
 To register

QQ登錄

只需一步，快速開始

掃一掃，訪問微社區(qū)

打印 上一主題 下一主題

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

[復制鏈接]
查看: 28769|回復: 47
樓主
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

書目名稱Statistical Learning from a Regression Perspective影響因子(影響力)




書目名稱Statistical Learning from a Regression Perspective影響因子(影響力)學科排名




書目名稱Statistical Learning from a Regression Perspective網(wǎng)絡公開度




書目名稱Statistical Learning from a Regression Perspective網(wǎng)絡公開度學科排名




書目名稱Statistical Learning from a Regression Perspective被引頻次




書目名稱Statistical Learning from a Regression Perspective被引頻次學科排名




書目名稱Statistical Learning from a Regression Perspective年度引用




書目名稱Statistical Learning from a Regression Perspective年度引用學科排名




書目名稱Statistical Learning from a Regression Perspective讀者反饋




書目名稱Statistical Learning from a Regression Perspective讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics
 

0票 0.00%

Better Implies Difficulty
 

0票 0.00%

Good and Satisfactory
 

0票 0.00%

Adverse Performance
 

0票 0.00%

Disdainful Garbage
您所在的用戶組沒有投票權限
沙發(fā)
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
板凳
發(fā)表于 2025-3-22 03:53:25 | 只看該作者
地板
發(fā)表于 2025-3-22 04:48:45 | 只看該作者
5#
發(fā)表于 2025-3-22 10:24:10 | 只看該作者
6#
發(fā)表于 2025-3-22 13:05:05 | 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
7#
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
8#
發(fā)表于 2025-3-23 00:30:54 | 只看該作者
9#
發(fā)表于 2025-3-23 03:00:25 | 只看該作者
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
10#
發(fā)表于 2025-3-23 06:55:38 | 只看該作者
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
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-23 03:25
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
廉江市| 射阳县| 大足县| 天镇县| 青神县| 平潭县| 华亭县| 文昌市| 炉霍县| 万荣县| 马龙县| 东城区| 土默特右旗| 盖州市| 临湘市| 忻城县| 石城县| 清水县| 阿城市| 乳源| 南郑县| 临朐县| 岢岚县| 志丹县| 连云港市| 连城县| 彰武县| 绵竹市| 老河口市| 大丰市| 东城区| 改则县| 鄂托克旗| 黄梅县| 余庆县| 景东| 东阳市| 华安县| 许昌市| 十堰市| 涟源市|