Real dependencies and significant correlations for the indicator “conformity ― non-conformity” (the model of quarts of independent variable) by M. M. Basimov

“…For visual representation, graphical comparisons of the three with each other and with their regression models built on the basis of linear correlation are considered. …”
Get full text

Comparative QSPR study of food preservatives using topological indices and regression models by K. B. Gayathri, S. Roy

“…Among the tested models, the cubic regression model demonstrated superior predictive performance. …”
Get full text

INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA by M. Fathurahman

“…The IGR model was formed from the Generalized Linear Models (GLM). …”
Get full text

Importance of Using Modern Regression Analysis for Response Surface Models in Science and Technology by Hsuan-Yu Chen, Chiachung Chen

“…Then these equations are used to produce the contour and response surface plots for observers to determine the optimization. The influence of regression techniques on model building has not been thoroughly studied. …”
Get full text

Measuring geographical disparities in waiting times for community-based specialist care - a novel statistical application by Havi Murad, Vicki Myers, Arnona Ziv, Rachel Wilf-Miron, Osnat Luxenburg

Get full text

New Evidence of Environmental Kuznets Curve Hypothesis in Developing Countries by Malik Cahyadin, Vita Kartika Sari, Aulia Hapsari Juwita

“…Moreover, the EKC model is inverted U-shaped following static and dynamic panels, with both quadratic and cubic regressions under institutions. …”
Get full text

Using Sensor Errors to Define Autonomous System Situational Awareness by Donald H. Costello, Paola Jaramillo Cienfuegos, Huan Xu

Subjects: Get full text

New Versions of Liu-type Estimator in Weighted and non-weighted Mixed Regression Model by Mustafa Ismaeel Naif Alheety

Get full text

Exploring QSPR in breast cancer drugs via entire neighborhood indices and regression models by Alaa Altassan, Anwar Saleh, Hanaa Alashwali, Marwa Hamed, Najat Muthana

“…Cubic regression analysis was initially employed, followed by multiple linear regression modeling to enhance the correlation between the entire neighborhood topological indices and some properties of the aforementioned drugs. …”
Get full text

Modeling the Contribution of Network Human Capital to Economic Dynamics and Innovation Activity by N. M. Gabdullin, I. A. Kirshin

Get full text

A Study of Winning Percentage in the MLB Using Fuzzy Markov Regression by Seung Hoe Choi, Seo-Kyung Ji

“…In addition, after expressing each team’s winning rate as a fuzzy number using a fuzzy partition, the linear relationship between the previous year and the next year using the fuzzy probability is investigated, and we estimate the fuzzy regression model and Markov regression model using the Double Least Absolute Deviation (DLAD) method. …”
Get full text

Spatiotemporal Distribution Characteristics and Influencing Factors of Negative Air Ion (NAI) Concentrations in Yunnan by Xiaodong Dou, Shengfang Hou, Yinghua Shen, Qiyang Peng, Huajun Liu, Qi Yi, Yujie Liu

Subjects: Get full text

The influence of medical-demographic and socio-economic factors on the detection of occupational morbidity in agricultural workers by G. A. Bezrukova, T. A. Novikova

Subjects: Get full text

Identification of Intrinsic Friction and Torque Ripple for a Robotic Joint with Integrated Torque Sensors with Application to Wheel-Bearing Characterization by Sri Harsha Turlapati, Van Pho Nguyen, Juhi Gurnani, Mohammad Zaidi Bin Ariffin, Sreekanth Kana, Alvin Hong Yee Wong, Boon Siew Han, Domenico Campolo

“…This error is much lower than that before our proposed model in compensating the intrinsic dynamics of the robot arm.…”
Get full text

The Impact of Resource Efficiency (5M) on Bore Pile Work Productivity by Jojok Widodo Soetjipto, Diah Ayu Restuti Wulandari, Alvira Yong Wenda Damayanti

“…Factor coefficient model calculations were carried out to measure the influence of each constraint factor on productivity. …”
Get full text

Using statistical analysis to evaluate enterprise performance in the Python programming environment by O. G. Konyukova, F. F. Baratova

“…Derived statistical quantities using packages embedded in Python software such as Pandas, Seaborn, Matplotlib, NumPy, skleaern, Linear_model, LinearRegression, Scikit-learn, Metrics, Model selection. …”
Get full text

Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics by Huiling Qin, Atef F. Hashem, Muhammad Farhan Hanif, Osman Abubakar Fiidow

“…These indices are used as input features by various regression models along with linear, cubic, and feedforward ANNs. …”
Get full text

Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone by John Gladious, Partha Sarathi Paul, Manas Mukhopadhyay

“…A robust Exploratory Data Analysis (EDA) was conducted to elucidate the distributions of pre-monsoon and post-monsoon properties and uncover interrela- tionships among them. Machine learning models, encompassing Linear Regression, Random Forest Regression, Gradient Boosting Regressors, Support Vector Regres- sors, and Ensemble Models, were employed to predict post-monsoon properties based on pre-monsoon data and calculated changes. …”
Get full text

Using Quantile Regression Approach to Analyze Price Movements of Agricultural Products in China by Gan-qiong LI, Shi-wei XU, Zhe-min LI, Yi-guo SUN, Xiao-xia DONG

“…We then evaluate our models by comparing the prediction intervals generated from the quantile regression models with in-sample and out-of-sample forecasts. …”
Get full text

Bayesian Analysis for Dynamic Generalized Linear Latent Model with Application to Tree Survival Rate by Yu-sheng Cheng, Mei-wen Ding, Ye-mao Xia, Wen-fa Zhan

Get full text