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: Nonparametric Statistics; 4th ISNPS, Salerno, Michele La Rocca,Brunero Liseo,Luigi Salmaso Conference proceedings 2020 Springer Nature Swi

[復制鏈接]
查看: 11291|回復: 64
樓主
發(fā)表于 2025-3-21 18:04:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nonparametric Statistics
副標題4th ISNPS, Salerno,
編輯Michele La Rocca,Brunero Liseo,Luigi Salmaso
視頻videohttp://file.papertrans.cn/668/667833/667833.mp4
概述Presents the latest advances in nonparametric and semiparametric statistics.Addresses theory, methodology, applications, and computational aspects.Includes contributions on nonparametric curve estimat
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Nonparametric Statistics; 4th ISNPS, Salerno,  Michele La Rocca,Brunero Liseo,Luigi Salmaso Conference proceedings 2020 Springer Nature Swi
描述.Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the International Society for Nonparametric Statistics (ISNPS), held in Salerno, Italy, on June 11-15, 2018. It covers theory, methodology, applications and computational aspects, addressing topics such as nonparametric curve estimation, regression smoothing, models for time series and more generally dependent data, varying coefficient models, symmetry testing, robust estimation, and rank-based methods for factorial design. It also discusses nonparametric and permutation solutions for several different types of data, including ordinal data, spatial data, survival data and the joint modeling of both longitudinal and time-to-event data, permutation and resampling techniques, and practical applications of nonparametric statistics..The International Society for Nonparametric Statistics is a unique global organization, and its international conferences are intended to foster the exchange of ideas and the latest advances and trends among researchers from around the world and to develop and disseminate nonparametric sta
出版日期Conference proceedings 2020
關鍵詞nonparametric statistics; semiparametric statistics; dependent data; nonparametric curve estimation; per
版次1
doihttps://doi.org/10.1007/978-3-030-57306-5
isbn_softcover978-3-030-57308-9
isbn_ebook978-3-030-57306-5Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Nonparametric Statistics影響因子(影響力)




書目名稱Nonparametric Statistics影響因子(影響力)學科排名




書目名稱Nonparametric Statistics網絡公開度




書目名稱Nonparametric Statistics網絡公開度學科排名




書目名稱Nonparametric Statistics被引頻次




書目名稱Nonparametric Statistics被引頻次學科排名




書目名稱Nonparametric Statistics年度引用




書目名稱Nonparametric Statistics年度引用學科排名




書目名稱Nonparametric Statistics讀者反饋




書目名稱Nonparametric Statistics讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

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 23:24:08 | 只看該作者
2194-1009 spects.Includes contributions on nonparametric curve estimat.Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the International Society for Nonparametric Statistics (ISNPS), held
板凳
發(fā)表于 2025-3-22 03:40:26 | 只看該作者
地板
發(fā)表于 2025-3-22 08:09:36 | 只看該作者
Low and High Resonance Components Restoration in Multichannel Data,algorithm. Numerical experiments show the performance of the proposed method in different synthetic scenarios highlighting the advantage of estimating the two components separately rather than together.
5#
發(fā)表于 2025-3-22 11:02:38 | 只看該作者
6#
發(fā)表于 2025-3-22 16:26:55 | 只看該作者
An Extension of the DgLARS Method to High-Dimensional Relative Risk Regression Models,and high dimensional, not rarely outstripping the number of patients included in the study. For this reason, sparse estimators are usually used in the study of high-dimensional survival data. In this paper, we propose an extension of the differential geometric least angle regression method to high-dimensional relative risk regression models.
7#
發(fā)表于 2025-3-22 17:09:24 | 只看該作者
8#
發(fā)表于 2025-3-22 23:55:04 | 只看該作者
9#
發(fā)表于 2025-3-23 05:22:26 | 只看該作者
10#
發(fā)表于 2025-3-23 08:35:49 | 只看該作者
Permutation Tests for Multivariate Stratified Data: Synchronized or Unsynchronized Permutations?,ed independent we can think to perform permutation tests independently (unsynchronized) for each strata, and then combining the resulting p-values. In this work, we show that when strata are independent we can adopt equivalently both synchronized and unsynchronized permutations.
 關于派博傳思  派博傳思旗下網站  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 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-6 10:59
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
恭城| 昌都县| 巴南区| 包头市| 福泉市| 绥德县| 万年县| 灵丘县| 嘉祥县| 温泉县| 罗源县| 比如县| 特克斯县| 正定县| 邯郸县| 外汇| 财经| 佛坪县| 伊宁县| 常熟市| 鹤岗市| 宜兰县| 奉节县| 茌平县| 峡江县| 高尔夫| 林甸县| 航空| 略阳县| 鸡西市| 新田县| 漠河县| 周口市| 枣强县| 灌阳县| 黄龙县| 哈尔滨市| 洛扎县| 鹿泉市| 容城县| 武乡县|