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: Analysis and Modeling of Complex Data in Behavioral and Social Sciences; Donatella Vicari,Akinori Okada,Claus Weihs Conference proceedings

[復制鏈接]
查看: 26326|回復: 63
樓主
發(fā)表于 2025-3-21 20:07:49 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences
影響因子2023Donatella Vicari,Akinori Okada,Claus Weihs
視頻videohttp://file.papertrans.cn/157/156231/156231.mp4
發(fā)行地址Builds an interface between statistical methods and applications in social sciences.Presents advances in data analysis that address research questions across many social science disciplines.Emphasizes
學科分類Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Analysis and Modeling of Complex Data in Behavioral and Social Sciences;  Donatella Vicari,Akinori Okada,Claus Weihs Conference proceedings
影響因子.This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems..The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange..
Pindex Conference proceedings 2014
The information of publication is updating

書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences影響因子(影響力)




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences影響因子(影響力)學科排名




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences網(wǎng)絡公開度




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences網(wǎng)絡公開度學科排名




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences被引頻次




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences被引頻次學科排名




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences年度引用




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences年度引用學科排名




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences讀者反饋




書目名稱Analysis and Modeling of Complex Data in Behavioral and Social Sciences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 23:11:32 | 只看該作者
Scale Reliability Evaluation for A-Priori Clustered Data,ient is considered according to the decomposition of pairwise covariances in a clustered framework, and a test procedure assessing the possible presence of congeneric measures in a multigroup framework is proposed.
板凳
發(fā)表于 2025-3-22 01:28:20 | 只看該作者
地板
發(fā)表于 2025-3-22 05:31:03 | 只看該作者
5#
發(fā)表于 2025-3-22 11:00:03 | 只看該作者
6#
發(fā)表于 2025-3-22 16:04:21 | 只看該作者
7#
發(fā)表于 2025-3-22 17:23:44 | 只看該作者
1431-8814 questions across many social science disciplines.Emphasizes.This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals prov
8#
發(fā)表于 2025-3-23 00:20:42 | 只看該作者
https://doi.org/10.1007/b117315the signals in order to optimally remove the non discriminant components which should compromise the grouping of waveforms. This step is followed by the allocation and by the computation of the cluster centroids on the basis of the filtered signals. The effectiveness of the method is shown on a real dataset of seismic waveforms.
9#
發(fā)表于 2025-3-23 01:39:48 | 只看該作者
Simp-Asimplecustomizable Microprocessor,ed a nonparametric combination (NPC) ranking method on a set of nine dimensions related the public services supplied. The results show important differences among the provinces, at least for six out of nine TSC abilities or performances and producing a Global satisfaction ranking.
10#
發(fā)表于 2025-3-23 08:00:36 | 只看該作者
Simp-Asimplecustomizable Microprocessor,eir task of writing the lexical entry of .. We use two datasets: the . (IT), a corpus containing the opera omnia of Thomas Aquinas, and the . Treebank, a syntactically annotated subset of the IT..Results are evaluated against a manually labeled subset of the occurrences of ..
 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(jié) 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, 2025-10-16 18:38
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
天镇县| 睢宁县| 嘉义县| 漯河市| 黔西县| 霍山县| 海淀区| 池州市| 镶黄旗| 青海省| 凯里市| 江华| 垫江县| 曲周县| 兴隆县| 阳原县| 佳木斯市| 沁阳市| 枣强县| 澳门| 玛曲县| 郴州市| 太湖县| 宝山区| 手游| 上饶县| 金溪县| 彭阳县| 佛山市| 和龙市| 汉阴县| 淮南市| 夏津县| 丹棱县| 若羌县| 井陉县| 庄浪县| 莲花县| 肥东县| 南平市| 永泰县|