A hybrid algorithm based on fuzzy linear regression analysis by quadratic programming for time estimation: An experimental study in manufacturing industry
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Weibull and lognormal Taguchi analysis using multiple linear regression
Global linear regression coefficient classifier for recognition
Robust linear regression with broad distributions of errors
Estimation of speech absence uncertainty based on multiple linear regression analysis for speech enhancement
Application of multiple linear regression, central composite design, and ANFIS models in dye concentration measurement and prediction using plastic optical fiber sensor
Studies of the adaptive network-constrained linear regression and its application
Combined use of MILP and multi-linear regression to simplify LCA studies
Robust nonnegative garrote variable selection in linear regression
Adaptive time window linear regression algorithm for accurate time synchronization in wireless sensor networks
Fuzzy linear regression models for QFD using optimized h values
Simultaneous confidence bands for a percentile line in linear regression
An improved office building cooling load prediction model based on multivariable linear regression
A linear regression based face recognition method by extending probe images
A dynamic log-linear regression model to forecast numbers of future filings at the European Patent Office
A novel illumination-robust local descriptor based on sparse linear regression ☆
Empirical likelihood inference in linear regression with nonignorable missing response
Determination of thiophanate-methyl using UV absorption spectra based on multiple linear regression
A multivariate linear regression analysis using finite mixtures of tt distributions
Supervised feature selection for linear and non-linear regression of L⁎a⁎b⁎ color from multispectral images of meat
Using random subspace method for prediction and variable importance assessment in linear regression
A multivariate non-linear regression model to predict the energy demand for lighting in rooms with different architectural features and lighting control systems
A novel algorithm based on the coefficient of determination of linear regression fitting to automatically find the optimum angle for miniaturized surface plasmon resonance measurement
Adaptive weighted learning for linear regression problems via Kullback–Leibler divergence
A new a priori SNR estimator based on multiple linear regression technique for speech enhancement
Comparison between the bivariate Weibull probability approach and linear regression for assessment of the long-term wind energy resource using MCP
An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model
Algorithms for approximate linear regression design with application to a first order model with heteroscedasticity
Application of fuzzy linear regression method for sensory evaluation of fried donut
Using random subspace method for prediction and variable importance assessment in linear regression
Inference in generalized linear regression models with a censored covariate
Comparison of artificial neural network and multiple linear regression models to predict optimum bonding strength of heat treated woods
On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
Modeling compressive strength of recycled aggregate concrete by Artificial Neural Network, Model Tree and Non-linear Regression
Adaptive system for dam behavior modeling based on linear regression and genetic algorithms
Investigation on the synthesis conditions at the interpore distance of nanoporous anodic aluminum oxide: A comparison of experimental study, artificial neural network, and multiple linear regression
Finite-sample exact tests for linear regressions with bounded dependent variables
A set arithmetic-based linear regression model for modelling interval-valued responses through real-valued variables
Modeling the leadership – project performance relation: radial basis function, Gaussian and Kriging methods as alternatives to linear regression
Prediction of the cetane number of biodiesel using artificial neural networks and multiple linear regression
Outlier detection in fuzzy linear regression with crisp input–output by linguistic variable view
Estimation in linear regression models with measurement errors subject to single-indexed distortion
Estimating the probability of success of a simple algorithm for switched linear regression
Fuzzy numbers from raw discrete data using linear regression
Testing linear regression model with AR(1) errors against a first-order dynamic linear regression model with white noise errors: A point optimal testing approach ☆
A discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR
Development of an equation for calculating vertebral shear failure tolerance without destructive mechanical testing using iterative linear regression
On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data
Robust functional linear regression based on splines
Neural network and multiple linear regression to predict school children dimensions for ergonomic school furniture design
Multivariable Linear Regression Equation for Rice Water Requirement based on Meteorological Influence
Comparisons of linear regression and survival analysis using single and mixture distributions approaches in modelling LGD
Linear Regression Modeling of Interval-censored Survival Times Based on a Convex Piecewise-linear Criterion Function
Maximum A Posteriori Linear Regression for language recognition
A novel hybrid classification model of artificial neural networks and multiple linear regression models
A log-linear regression model for the ββ-Birnbaum–Saunders distribution with censored data
Using the fuzzy linear regression method to benchmark the energy efficiency of commercial buildings
Fuzzy linear regression based on Polynomial Neural Networks
Approximate solution to Fredholm integral equations using linear regression and applications to heat and mass transfer
Interval arithmetic-based simple linear regression between interval data: Discussion and sensitivity analysis on the choice of the metric
Improving importance estimation in pool-based batch active learning for approximate linear regression
Hypothesis testing in linear regression when k/n is large
Targeted material design of flyash filled composites for friction braking application by non-linear regression optimization technique
The construction of fuzzy least squares estimators in fuzzy linear regression models
A control function approach for testing the usefulness of trending variables in forecast models and linear regression
Predictive model-based for the critical submergence of horizontal intakes in open channel flows with different clearance bottoms using CART, ANN and linear regression approaches
A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment
Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models
Evaluating the Thickness of Broken Rock Zone for Deep Roadways using Nonlinear SVMs and Multiple Linear Regression Model
Research on the Prediction of Gas Emission Quantity in Coal Mine Based on Grey System and Linear Regression for One Element
Linear-regression-based Weighted Centroid Localization Algorithm in Wireless Sensor Network