Reasonably conduct the multiple Logistic regression analysis combined with the multilevel model analysis by Hu Chunyan, Hu Liangping

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Taxation and economic growth: A regression analysis based on a new classification by Lich Khac Hoang, Binh Tan Cao, Kim My Le, Dung Thi Thuy Nguyen

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An investigation of income inequality through autoregressive integrated moving average and regression analysis by John Wang, Zhi Kacie Pei, Yawei Wang, Zhaoqiong Qin

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MODELING URBAN CRIME PATTERNS USING SPATIAL SPACE TIME AND REGRESSION ANALYSIS by H. Hashim, W. M. N. Wan Mohd, E. S. S. M. Sadek, K. M. Dimyati

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Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis by Valeria Figini, Sofia Galici, Daniele Russo, Ilenia Centonze, Monica Visintin, Guido Pagana

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A quantile regression analysis of growth and convergence in the EU: potential implications for Portugal by João Sousa Andrade, Adelaide Duarte, Marta Simões

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Estimation of the Seasonal Changing Effect on the Tourism Incomein the Anahita Temple (Regression Analysis) by rahmat farhodei, mahmood shorcheh, hosein saboorei

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The price is right!? A meta-regression analysis on willingness to pay for local food. by Iryna Printezis, Carola Grebitus, Stefan Hirsch

“…We study the literature on willingness to pay (WTP) for local food by applying meta-regression analysis to a set of 35 eligible research papers that provide 86 estimates on consumers' WTP for the attribute "local." …”
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The role of multiple regression analysis in prediction of insulin resistance in overweight and obese children by Halyna PAVLYSHYN, Kateryna KOZAK

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Forecasting of infection prevalence of Helicobacter pylori (H. pylori) using regression analysis by Komiljon Usarov, Anvarjon Ahmedov, Mustafa Fatih Abasiyanik, Ku Muhammad Na’im Ku Khalif

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Performance Analysis of Daily Global Solar Radiation Models in Peru by Regression Analysis by Babak Mohammadi, Roozbeh Moazenzadeh

“…With the same variables used in empirical models (temperature) as well as two other parameters, namely precipitation and relative humidity, new models were developed by multiple linear regression analysis (proposed models). In calibration of empirical models with the same variables, the lowest estimation errors were 227.1 and 236.3 J·cm⁻²·day⁻¹ at Tacna and Puno stations, and the highest errors were 3958.4 and 3005.7 at San Ramon and Junin stations, respectively. …”
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Adaptive Regression Analysis of Heterogeneous Data Streams via Models with Dynamic Effects by Jianfeng Wei, Jian Yang, Xuewen Cheng, Jie Ding, Shengquan Li

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Prediction Model of Concrete Initial Setting Time Based on Stepwise Regression Analysis by Wei-Jia Liu, Xu-Jing Niu, Ning Yang, Yao-Shen Tan, Yu Qiao, Chun-Feng Liu, Kun Wu, Qing-Bin Li, Yu Hu

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The Price Elasticity of Natural Gas Demand in China: A Meta-Regression Analysis by Jian Chai, Huiting Shi, Xiaoyang Zhou, Shouyang Wang

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Reasonably conduct the multiple linear regression analysis combined with the propensity score analysis by Hu Chunyan, Hu Liangping

“…The purpose of this paper was to introduce how to combine the propensity score analysis to reasonably carry out multiple linear regression analysis. Firstly， it introduced 3 basic concepts related to the propensity score analysis. …”
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Parent Progeny regression analysis in F2 and F3 generations of rice by Anilkumar , C. Vanniarajan*1 and J. Ramalingam

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Evaluation Method of Usability of Low Altitude Airspace ResourcesBased on the Regression Analysis by Wang Zekun, Wu Minggong, Wen Xiangxi, Nie Dangmin, Jiang Xurui

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Material quantity estimation modelling of bridge sub- substructure using regression analysis by Alhusni M Khazin, Triwiyono Andreas, Septhia Irawati Inggar

“…Material quantity estimation models were analysed by the multiple regression analysis methods. The span length and the abutment height are determined as independent variables to predict the concrete volume, the reinforcing steel weight, the caisson concrete volume, the cyclops concrete volume and the caisson reinforcing steel weight. …”
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Forecasting the Final Cost of Iraqi Public School Projects Using Regression Analysis by Zeyad S. M. Khaled, Qais Jawad Frayyeh, Gafel Kareem Aswed

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Psoriasis regression analysis of MHC loci identifies shared genetic variants with vitiligo. by Kun-Ju Zhu, Yong-Mei Lv, Xian-Yong Yin, Zai-Xing Wang, Liang-Dan Sun, Su-Min He, Hui Cheng, Da-Yan Hu, Zheng Zhang, Yang Li, Xian-Bo Zuo, You-Wen Zhou, Sen Yang, Xing Fan, Xue-Jun Zhang, Feng-Yu Zhang

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