The physiological parameters of human fingertip can be measured by various sensing modalities, and blood glucose value can be evaluated with the physiological parameters by the multiple linear regression analysi
Multiple linear regression is a type of linear regression, wherein multiple independence features are available to predict the dependent variable. From: Cognitive Computing for Human-Robot Interaction, 2021 About this pageSet alert Also in subject area: PsychologyDiscover other topics On this page Defi...
1 and 2. The proposed Multiple Linear Regression based non-uniform light image thresholding approach has three steps as follows: (i) Extraction of valid Training Sample Points(TSP), (ii) Illumination surface estimation using MLR approach, (iii) Illumination normalization and (iv) Binarization using...
Multiple linear regression (MLR) analysis according to least-squares procedures is normally applied to estimate model equation coefficients. Many researchers have conducted studies on UHPC materials, the effects of additives on concrete durability, and compressive strength. Charhate et al.35used ANN and...
Bembry, "An Application of Multiple Linear Regression in Determining Longitudinal Teacher Effectiveness," paper presented at the 1998 Annual Meeting of the American Educational Research Association, San Diego, Calif., 1998.Mendro, R., Jordan, H., Gomez, E., Anderson, M., & Bembry,...
Crop yield and its prediction are crucial in agricultural production planning. This study investigates and predicts arabica coffee yield in order to match the market demand, using artificial neural networks (ANN) and multiple linear regression (MLR). Dat
A comparative study of estimation methods for parameters in multiple linear regression model. Journal of Applied Animal Research, 29, 43-47.S. Cankaya, G.T. Kayaalp, L. Sangun, Y. Tahtali,, M. Akar, "A Comparative Study of Estimation Methods for Parameters in Multiple Linear Regression ...
Multiple linear regression OG: Orthogneiss PC: Principal component PCA: Principal component analysis SG: Sillimanite and garnet-bearing biotite gneiss D : Bulk density, g/cm3 FD: Fracture density, m−1 GR: Gamma ray, API K : Potassium, ppm N : Neutron porosity, v/v P10:...
The purpose of this study was to develop a daily average PM2.5 forecasting model and apply it in the Northern Xinjiang, China, through combining the back propagation artificial neural network (BPANN) and multiple linear regression (MLR) with another BPANN model. Specifically, (1) the forecast ...
In this paper, we focused on utilizing a high-dimensional linear regression model to understand the relationship between phenotype and genotype in genetic studies, particularly in the context of genome-wide association studies (GWAS). One of the key advantages of this approach is that it does not...