Search Results - "Rank correlation (Statistics)"

A Study on the Publication Performance of Preprints: A Case of BioRxiv.

Authors: Zhuang, Chenhao Yang, Leyi Zhou, Fanjie et al.

Source: Journal of Scholarly Publishing. Jul2025, Vol. 56 Issue 3, p571-604. 34p.

Generalized Spearman rank correlation coefficient and its application.

Authors: Feng, Changyong Wang, Hongyue Liu, Honghong et al.

Source: Communications in Statistics: Case Studies & Data Analysis. Apr2026, p1-9. 9p. 4 Illustrations.

MINIMUM FIDELITY FOR RELIABLE ARCHITECTURE RANKING IN BAYESIAN NAS FOR OBJECT DETECTION.

Alternate Title: Мінімальна точність для надійного рейтингу архітектури в баєсівському NAS для виявлення об’єктів.

Authors: Kot, Anatoly¹ anatoly.kot@gmail.com

Source: Electronics & Control Systems. 2026, Vol. 88 Issue 2, p54-60. 7p.

Subjects: Neural architecture search, Rank correlation (Statistics), Mathematical optimization, Object recognition (Computer vision), Computer performance

On the extensions of the Chatterjee-Spearman test.

Authors: Zhang, Qingyang¹ (AUTHOR) qz008@uark.edu

Source: Journal of Nonparametric Statistics. Jun2026, Vol. 38 Issue 2, p347-376. 30p.

Validation and Optimization of the Cite Frequency Approach in Identifying Potential Factors Affecting the Bid/No-Bid Decision.

Authors: Li, Guanghua Chen, Chuan Yang, Daojing et al.

Source: Buildings (2075-5309); Apr2026, Vol. 16 Issue 7, p1322, 15p

A back propagation neural network based low frequency clustering man-hour prediction method for digital manufacturing.

Authors: Xiang, Feng Shi, Jiangpeng Zhang, Meng et al.

Source: International Journal of Computer Integrated Manufacturing; Mar2026, Vol. 39 Issue 3, p405-423, 19p

Dependence testing in generalized partially linear regression: asymptotic power of Kendall’s τ.

Authors: Das, Sthitadhi¹ dsd.mt@brainwareuniversity.ac.in

Source: Communications for Statistical Applications & Methods. Mar2026, Vol. 33 Issue 2, p145-169. 25p.

Heterogeneous Fuzzy Group Decision‐Making Model With Mixed Criteria.

Authors: Karimi, Akbar Anisseh, Mohammad Sobhanifard, Farideh et al.

Source: Advances in Fuzzy Systems; 2/27/2026, Vol. 2026, p1-17, 17p

Short-Term Traffic Flow Prediction Considering Spatiotemporal Correlation Factors.

Authors: Liu, Kun Shang, Qiang Wang, Chao et al.

Source: IAENG International Journal of Computer Science; Feb2026, Vol. 53 Issue 2, p854-864, 11p

Short-Term Photovoltaic Power Prediction Based on SCC-CEEMDAN-HO-BiLSTM.

Authors: Liang, Jianwei Yue, Jie Xin, Yanli et al.

Source: Progress in Electromagnetics Research C; 2026, Vol. 164, p58-68, 11p

A Novel Approach for Criteria Weight Determination: A Case Study in Machine Ranking.

Authors: Dua, Tran Van¹, duatv@haui.edu.vn

Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p31333-31337, 5p

Viral mutation-inspired evolutionary algorithm for permutation flowshop scheduling.

Authors: Ancău, Mircea¹, mircea.ancau@tcm.utcluj.ro

Source: Journal of Intelligent Manufacturing; Jan2026, Vol. 37 Issue 1, p417-440, 24p

A Cognitive Multi-Criteria Decision Making Framework Based on Fuzzy Digraphs and Fuzzy Cognitive Maps: The Case of Industrial Robot Selection.

Authors: Ketipi, Maria Karakasis, Evangelos Emiris, Dimitrios et al.

Source: Applied Sciences (2076-3417); Dec2025, Vol. 15 Issue 24, p13098, 25p

A hybrid stellar mass black-hole optimization framework for finding significant biclusters using average Kendall rank correlation.

Authors: Balamurugan, R.¹ (AUTHOR) r.balamurugan@vit.ac.in

Source: Scientific Reports. 10/28/2025, Vol. 15 Issue 1, p1-16. 16p.

Spearman and Jaccard‐Based Convolutional Deep Neural Learning for Early Parkinson's Diagnosis.

Authors: Murali, Vinoth Natarajan, Rajesh Flammini, Francesco et al.

Source: International Journal of Intelligent Systems; 10/1/2025, Vol. 2025, p1-16, 16p

ボートレースにおける展示タイム順位が レース順位に与える影響の検証.

Alternate Title: Verification of the Influence of Exhibitin Time Rankings on Race Rankings in Boat Racing.

Authors: 近藤杏佳 河瀬彰宏

Source: Journal of Japan Society of Information & Knowledge / Joho Chishiki Gakkaishi. 2025, Vol. 35 Issue 4, p447-450. 4p.

Visualizing Kendall's τ and Hidden Structures in Ranked Data.

Authors: Edwards, Nicholas D. de Jong, Enzo Liu, Feng et al.

Source: American Statistician. May2026, Vol. 80 Issue 2, p318-326. 9p.

Testing independence between high‐dimensional random vectors using rank‐based max‐sum tests.

Authors: Wang, Hongfei Liu, Binghui Feng, Long

Source: Scandinavian Journal of Statistics. Jun2026, Vol. 53 Issue 2, p821-847. 27p.

Kendall rank correlation analysis of Malatya Centrality Algorithm with well-known centrality measures.

Authors: YAKUT, Selman ÖZTEMİZ, Furkan KARCI, Ali

Source: Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi. Aug2025, Vol. 43 Issue 4, p1339-1354. 16p.

Subjects: Rank correlation (Statistics), Graph theory, Communication network analysis

Defaulter detection based on Spearman correlation with hyper tuned SVM classification for preventing non-performing assets occurring in bank.

Authors: Mallik, Rajib Puri, Shalini Bhansali, Ashok et al.

Source: Multimedia Tools & Applications. Aug2025, Vol. 84 Issue 27, p33071-33093. 23p.

Subjects: Rank correlation (Statistics), Support vector machines, Banking industry, Model validation, Nonperforming loans, Counterparty risk, Feature selection