A mobile localization method based on a robust extend Kalman filter and improved M-estimation in Internet of things by Nan Hu, Chuan Lin, Fangjun Luan, Chengdong Wu, Qi Song, Li Chen

“…In this article, a novel method based on the nearest neighbor variable estimation is proposed to mitigate the non-line-of-sight error. First, the linear regression model of the extended Kalman filter is used to obtain the residual of the distance measurement value. …”
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Socioeconomic Determinants of Agricultural Extension Needs among Yam Farmers in Nasarawa State, Nigeria by Danlami Haruna Yakubu, Gumugumu Godknows Brakiebou Douseifa, Ango Adamu Kamba, Jazuli Alhassan

“…Data were obtained with the aid of a questionnaire and analyzed using percentages and Multiple Linear Regression Model. Findings of the study revealed that the major extension needs of the farmers included information on time of planting (90.17%), spacing of tubers (98.64%), pests and diseases control (94.58%), how to source for credit (96.95%) and method of weed control (95.25%). …”
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Comparison of the Response to Pulpal Sensibility Tests in Well-Controlled and Uncontrolled Type II Diabetes Mellitus Patients: A Cross-Sectional Study by Fatemeh Owlia, Faezeh Zarezadeh, Sara Jambarsang, Maryam Kazemipoor

“…Statistical analysis was performed with Student’s t-test, the chi-square test, and the multiple linear regression model. A P value less than 0.05 was considered significant. …”
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Predictors of cochlear implant outcomes in pediatric auditory neuropathy: A matched case-control study. by Zahra Jafari, Elizabeth M Fitzpatrick, David R Schramm, Isabelle Rouillon, Amineh Koravand

“…The case and control groups were compared in the results of five open-set speech perception tests, and a Forward Linear Regression Model was used to identify factors that can predict the post-CI outcomes.…”
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Radiographic Evaluation of the Lower First Permanent Molars of Children from Southeastern Brazil by Luciana Arruda Mendes de Paula, Francielle Silvestre Verner, Maria Augusta Visconti, Rafael Binato Junqueira

“…The right and left sides were compared using the McNemar's test. 51.1% of the sample were male, and 48.9% were female (mean of 9.2 years; SD = 1.9). 6.4% of the teeth had carious lesions, 7.3% had restorative material, and 0.3% were absent. The mixed linear regression model showed that age advance was proportional to the increase in the number of missing teeth (p=0.012), decayed, restored, and periapical lesions (p<0.001). …”
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Prediction correction modeling of water-conducting fracture zones height due to repeated mining in close distance coal seams by Zhuoran Kang, Daming Yang, Pengfei Shen

“…Compared against a multivariate linear regression model, empirical formulas, and measured results, our model demonstrated higher accuracy, stability in both absolute and relative errors, and practical applicability. …”
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Weight Fluctuation and Postmenopausal Breast Cancer in the National Health and Nutrition Examination Survey I Epidemiologic Follow-Up Study by Marina Komaroff

“…Weight fluctuation was measured by the root-mean-square-error (RMSE) from a simple linear regression model for each woman with their body mass index (BMI) regressed on age (started at 25 years) while women with the positive slope from this regression were defined as weight gainers. …”
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Empirical Research on the Relationship between Industry Working Capital Shortfall and Company Cash Holding in the Same Industry by Zhaohua Li, Junyi Jiang, Lijuan Xia, Chien-Chi Chu

“…Taking the panel data of A-share listed companies in Shanghai and Shenzhen as samples, this paper uses the Classical Linear Regression Model and Fixed Effects Regression Model to study the relationship between industry working capital shortfall and cash holdings in the same industry, as well as the relationship between industry working capital shortfall and cash holding value. …”
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Digital Technologies and Financial Performance in Local Government in Uganda: A Case Study of Kabale District. by Mugume, Herbert

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that integrated financial management systems (R=862), programme-based budgeting system and integrated personnel (R=756 and integrated personnel and payroll system (R=829) have a positive significance on the financial performance at Kabale District local government. …”
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Financial Accountability and Service Delivery In Kabale District Uganda. by Biryomumisho, Fadison, Turyasingura, John Bosco, Agaba, Moses, Kabagambe, Jess Davi

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that funds disbursement(R=862), Auditing process (R=656 and records-keeping systems(R=899) have a positive significance on the service delivery of Kabale District local government. …”
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Procurement Procedures and Contract Management in Local Governments in Uganda: Case Study-Kabale District Local Government. by Matende, Jamada

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that procurement standards (R=862), procurement advertising (R=656 and bid evaluation (R=899) have a positive significance on the contract management at Kabale District local government. …”
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Use of artificial intelligence to study the hospitalization of women undergoing caesarean section by Arianna Scala, Giuseppe Bifulco, Anna Borrelli, Rosanna Egidio, Maria Triassi, Giovanni Improta

“…Results A multiple linear regression model determined the highest R-value (0.815), indicating a strong correlation between the identified variables and LOS. …”
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Investigation of the Natural Frequency Change of the Suspension Bridge Under Operating Conditions by Yazhou Qin, Yansong Cui

“…The multiple linear regression model is established between the natural frequency change, the vibration intensity, and the effective wind speed. …”
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Data-Driven Method for Predicting Soil Pressure of Foot Blades within a Large Underwater Caisson by Can Huang, Hao Zhu, Kunyao Li, Jianxin Zheng, Hao Li, Jiaming Li, Yao Xiao

“…The improved CART model, multilayer perceptron (MLP), long short-term memory (LSTM), and a linear regression model are compared through a comprehensive multiparameter evaluation method. …”
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Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs by Reza Fardid, Fatemeh Farah, Hossein Parsaei, Hadi Rezaei, Mohammad Vahid Jorat

“…Results: The model demonstrated high predictive accuracy with a correlation coefficient (R-value) of 0.95 and a root mean square error (RMSE) of 3.68 µSv, outperforming a traditional linear regression model, which had an R-value of 0.48 and an RMSE of 18.15 µSv. …”
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Driving Fatigue Prediction Model considering Schedule and Circadian Rhythm by Qi Zhang, Chaozhong Wu, Hui Zhang

“…In addition, a linear regression model was proposed to represent the relationship between accumulated fatigue level and the four time-related variables. …”
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Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach by Chen-Peng Chen, Chan-Cheng Chen, Hsu-Fang Chen

“…The proposed model was a linear regression model consisting of six descriptors. This 6-descriptor model gave an R2 value of 0.9174, QLOO2 value of 0.9106, and Q2 value of 0.8989. …”
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Multi-sequence magnetic resonance imaging radiomics combined with imaging features predicts the difficulty of HIFU treatment of uterine fibroids by Li Shen, Xiao Huang, Yuyao Liu, Shanwei Bai, Fang Wang, Quan Yang

“…Abstract To establish a multivariate linear regression model for predicting the difficulty of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids based on multi-sequence magnetic resonance imaging radiomics features. …”
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Association between cardiac autonomic regulation, visceral adipose tissue, cardiorespiratory fitness and ambient air pollution: 4HAIE study (Program-4). by Tomas Dostal, Martina Dankova, Tomas Barot, Dominik Sindler, Petr Kutac, Vera Jandackova, Daniel Jandacka, Peter Hofmann, Lukas Cipryan

“…<h4>Results</h4>The multivariable linear regression model revealed that cardiac autonomic regulation (rMSSD) was significantly associated with CRF level (p < .001) and age (p < .001). …”
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SYSTEMATIC RISK ASSESMENT USING OLS METHOD - THE CASE OF THE CAPITAL MARKET OF BOSNIA AND HERZEGOVINA by Azra Zaimović

“…A special aim of the paper is to explore whether estimated models satisfy the presumptions of the linear regression model, which is being examined using a series of diagnostic tests. …”
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