Unsupervised Identification for 2-Additive Capacity by Principal Component Analysis and Kendall’s Correlation Coefficient in Multi-Criteria Decision-Making by Xueting Guan, Kaihong Guo, Ran Zhang, Xiao Han

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Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province by Gholamabbas Fallah Ghalhari, Fahimeh Shakeri

Subjects: “…pearson's correlation coefficient…”
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Temporal variation of Manning roughness coefficient in furrow irrigation and its relationship with various field parameters by Hadi Rezaei Rad, Hamed Ebrahimian, Abdolmajid Liaghat, Fatemeh Khalaji, Mahshid Shabani Arani

“…Pearson and Kendall statistical tests revealed that the Manning roughness coefficient during the entire irrigation event was strongly correlated with advance time (r = 0.65, p < 0.01) and moderately correlated with inflow and outflow rates, as well as initial soil moisture and cross-sectional flow area. …”
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CORRELATION BETWEEN SGOT AND SGPT LEVELS WITH POSITIVE HBsAg LEVELS by Nisa'ur Rosyidah, Erlinda Widyastuti, Annisa Auliya Rahman, Nur Septia Handayani, Belgis

“…The correlation coefficient for each is 0.110 and 0.144. …”
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Scales’ validity and reliability for pain assessment. Pediatric Intensive Care Unit. Cienfuegos 2023 by Jayce Díaz Díaz, Ariel Efrén Uriarte Méndez, Zulema Sánchez Acosta, Yuliett Mora Pérez, Felicia Rodríguez Solís

“…Linguistic and cultural adaptation, content validation, internal consistency, temporal stability, construct and criterion validity were carried out. Kendall's W concordance coefficient (content validity), Bartlett's sphericity test and Kaiser's normalization criterion (construct validity), Pearson's correlation coefficient (temporal stability) and global Cronbach's Alpha coefficient (internal consistency) were calculated.…”
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Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation by Abubaker Qutieshat, Abdurahman Salem, Melina N. Kyranides

“…Statistical analyses included sensitivity, specificity, positive predictive value, negative predictive value, Cohen’s kappa, the intraclass correlation coefficient (ICC3k), Spearman’s rho, Kendall’s tau correlation coefficients, and a confusion matrix. …”
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Investigating Precipitation Changes in the Southern Coast of Iran using ERA5 Data by Maryam Kamali, Masoud Torabi Azad

“…Examining the results of the correlation between the observational data and the model data indicated a high and significant correlation, which showed a high correlation of 95 percent with a correlation coefficient of more than 0.92. …”
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THE RELATIONSHIP BETWEEN NURSES' KNOWLEDGE AND COMPLIANCE IN PERFORMING FALL RISK RE-ASSESSMENT by Arlina Dhian Sulistyowati, Esri Rusminingsih, Devi Permata Sari, Fitriana Noor Kayati, Yuli Widhi A

“…This study utilized the Kendall Tau-b test and obtained p value = 0.006 and Correlation Coefficient of 0.387.  …”
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Design of nodes importance assessment method for complex network based on neighborhood information by Xing LI, Jie ZHAN, Baoquan REN, Siqi ZHU

“…Accurate identification of influential nodes in complex networks is crucial for network management and network security.The local centrality method is concise and easy to use, but ignores the topological relationship between neighboring nodes and cannot provide globally optimal results.A node importance assessment method was proposed to correlate the node edge relationship and topology, which firstly applied the H-index and information entropy to assess the nodes, then combined the structural holes of the nodes with the structural characteristics of the nodes, and took into account the attribute of “bridging” while focusing on the node’s own quality and the amount of information about the neighboring nodes.The algorithm was validated by simulating the propagation process using the SIR model, and the Kendall correlation coefficient, complementary cumulative distribution function and propagation influence were applied to validate the validity and applicability of the method.Comparison of the experimental results on six real network datasets shows that the proposed method is more accurate than the traditional centrality methods in identifying and ordering the key nodes in the network.…”
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Tingkat Pengetahuan Berhubungan dengan Usaha Mencari Bantuan Terkait Kegawatdaruratan Medis di Kota Yogyakarta by Lukman Nulhakim Abdul Kader, Teguh Santoso, Erika Nurwidiyanti

“…The relationship between variables is significant with value = 0.000 (p = 0.01). However, the correlation coefficient value is 0.180. There is a significant relationship between the level of knowledge and efforts to seek help but have a weak correlation. …”
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Prevalence of Primary Dysmenorrhoea and Its Impact on Academic Performance among Croatian Students during the COVID-19 Pandemic by Marta Horvat, Doroteja Pavan Jukić, Lovro Marinović, Dina Bursać, Rosana Ribić, Marijana Neuberg, Danijel Bursać

“…Descriptive quantitative analysis was performed and Kendall rank correlation coefficient was used. Results. …”
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Validation of the Functional Assessment of Cancer Therapy/Gynecologic Oncology Group Neurotoxicity Questionnaire for the Latin American Population by Ivana Leao Ribeiro, Luz Alejandra Lorca, Rodrigo Cuevas-Cid, Snehil Dixit, Nicolás Yáñez-Benavides, Francisco Ortega-Gonzalez

“…There was an agreement among the evaluators for all categories of the subscale (Kendall’s coefficient, W=0.4, p<0.01) and moderate to high intrarater reliability (intraclass correlation coefficient=0.7–0.9). …”
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Improving the accuracy of the information retrieval evaluation process by considering unjudged document lists from the relevant judgment sets by Minnu Helen Joseph, SriDevi Ravana

“…Documents based on judgment sets and good contributing systems have been considered in the proposed methodologies. Analysis. Kendall Tau Correlation Coefficient, Mean Average Precision (MAP), Normalized Discounted Cumulative Gain (NDCG), and Rank Biased Precision (Rbp) have been used to evaluate the performance of the methodologies. …”
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Analysis of heat waves temporal fluctuation in North - West region of Iran and their relationship with greenhouse gases and global land-ocean temperature anomalies

“…To achieve the research objectives, Pearson and Spearman correlation methods, linear and polynomial regression and non-parametric Mann-Kendall test were used. …”
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Construction of a Practical Oriented Tool for Evaluating the Ability of Community Medical Staff to Provide Hospice Care Services and Its Reliability and Validity by SHA Jingjing, JING Limei, DING Tongjiu, XIN Yurong, TANG Lan, LI Shuijing

“…The Delphi expert consultation method invited a total of 15 authoritative experts in Shanghai who study and carry out hospice services, in which the expert authority coefficient was 0.87, and the Kendall harmony coefficient of the overall index system was 0.624 (P&lt;0.01), and the evaluation tools for the 50 entries were finally formed after two rounds of Delphi expert consultation. …”
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Analysis of Rainfall Trends and Its Relationship with SST Signals in the Lake Tana Basin, Ethiopia by Tesfay Mekonnen Weldegerima, Tadesse Terefe Zeleke, Belay Simane Birhanu, Benjamin Frederick Zaitchik, Zewdu Alamineh Fetene

“…Additionally, Pearson’s correlation coefficient method is used to determine the effect of SST variations on rainfall. …”
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Durasi Penggunaan Gadget dan Ketajaman Mata pada Remaja: Studi Korelasi by Istiqomi Saidah Hanun, Muskhab Eko Riyadi

“…The statistical test yielded a p-value of 0.001 <0.05, indicating a significant association between the duration of gadget use and ocular acuity in adolescents. The correlation coefficient of 0.511 indicates a moderate relationship between these two variables. …”
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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Spatial and Temporal Characteristics of Precipitation and Runoff Response in Yalong River Basin by CHANG Xinyu, LIU Bin, JIA Yugong, FU Zhiyu

“…Under the dual influence of climate change and human activities,extreme climate occurs frequently around the world,and the precipitation in the studied basin has undergone profound changes,so it is necessary to further explore the inherent characteristics and variation laws of precipitation and runoff and thus enhance the understanding of the evolution laws of hydrological and meteorological elements in the basin under the changing environment.In this paper,Mann-Kendall nonparametric test,R/S analysis,moving t-test,and Morlet wavelet transform are introduced to analyze the interannual trend and identify abrupt changes and periodic characteristics of precipitation at meteorological stations in the Yalong River Basin in the past 50 years,and the response degree of runoff to precipitation is measured by correlation coefficient.The results show that the Hurst index of precipitation in the basin is greater than 0.5,and the precipitation trends at Qingshuihe,Shiqu,and Zhongdian stations are more significant;at the same time,due to the continuous influence of the changing environment,the precipitation in the basin has a multi-scale significant period in both time and frequency domains,and the precipitation fluctuates during small periods of 1.0~2.5 years and large periods of 4~6 years.Besides,the meteorological stations with strong runoff responses to precipitation in the basin are obtained,and the precipitation trend of other stations is not significant except Zhongdian station.The research results can provide a scientific basis for selecting driving factors of the nonlinear runoff forecasting model.…”
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Assessment of Trends and Magnitude of Climate Variability and Change in the Kembata Tembaro Zone in Southern Ethiopia by Getachew Tadesse, Mulugeta Lemenih, Teshale Woldeamanuel, Menfese Tadesse

“…In addition, the Mann–Kendall (MK) trend test was used to assess climate trends. …”
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