On estimation in a spatial functional linear regression model with derivatives
آشنایی با موضوع
رگرسیون خطی یا تنازل خطی یا وایازی خطی، یکی از روشهای تحلیل رگرسیون است. در رگرسیون خطّی، متغیّر وابسته ترکیب خطیای از ضرایب (پارامترها) است (لازم نیست که نسبت به متغیرهای مستقل خطی باشد).
در این صفحه، تعداد 244 مقاله انگلیسی از ژورنال ها و مجلات معتبر پایگاه ساینس دایرکت (ScienceDirect) درباره موضوع رگرسیون خطی آرشیو شده است که شما می توانید مقالات مورد نظر خود را بر اساس سال انتشار، موضوع مقاله، وضعیت ترجمه و تعداد صفحات، انتخاب نموده و دانلود فرمایید.
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
Non-parametric entropy estimators based on simple linear regression
Multi-linear Regression Models to Predict the Annual Energy Consumption of an Office Building with Different Shapes ☆
Double linear regressions for single labeled image per person face recognition
Fuzzy linear regression-based detection of earnings management
A Novel Digital Watermarking Algorithm Based on Wavelet Lifting Scheme and Linear Regression
Restricted methods in symmetrical linear regression models
Black-box model for solar storage tanks based on multiple linear regression
Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms
Robust and sparse estimation methods for high-dimensional linear and logistic regression
Locality-regularized linear regression discriminant analysis for feature extraction
Leaf water content estimation by functional linear regression of field spectroscopy data
Robust adaptive model selection and estimation for partial linear varying coefficient models in rank regression
The design of multiple linear regression models using a genetic algorithm to diagnose initial short-circuit faults in 3-phase induction motors
Acoustic comfort evaluation modeling and improvement test of a forklift based on rank score comparison and multiple linear regression
Global optimization for low-dimensional switching linear regression and bounded-error estimation
Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random
Sparse principal component regression for generalized linear models
Segmented concave least squares: A nonparametric piecewise linear regression
Non-linear and mixed regression models in predicting sustainable concrete strength
Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors
Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system
Efficiently and securely harnessing cloud to solve linear regression and other matrix operations
Hierarchical mixture of linear regressions for multivariate spectroscopic calibration
Linear and evolutionary polynomial regression models to forecast coastal dynamics: Comparison and reliability assessment
A globally convergent algorithm for lasso-penalized mixture of linear regression models
A linear regression approach to evaluate the green supply chain management impact on industrial organizational performance
Improved principal component analysis and linear regression classification for face recognition
Predicting hyperketonemia by logistic and linear regression using test-day milk and performance variables in early-lactation Holstein and Jersey cows
Generalized ridge estimator and model selection criteria in multivariate linear regression
Understanding spatial and temporal Douglas-fir fertilizer response in the Pacific Northwest using boosted regression trees and linear discriminant analysis
An introduction to using Bayesian linear regression with clinical data
Grey-box model for pipe temperature based on linear regression
Application of multiple linear regression and Bayesian belief network approaches to model life risk to beach users in the UK
Generalized partially linear regression with misclassified data and an application to labour market transitions
Estimating severity of sideways fall using a generic multi linear regression model based on kinematic input variables
Linear regression models for prediction of annual heating and cooling demand in representative Australian residential dwellings
Novel liquid chromatography method based on linear weighted regression for the fast determination of isoprostane isomers in plasma samples using sensitive tandem mass spectrometry detection
Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models
Association between resting-state brain network topological organization and creative ability: Evidence from a multiple linear regression model
Augmented chaos-multiple linear regression approach for prediction of wave parameters
Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression
Simulation of groundwater level variations using wavelet combined with neural network, linear regression and support vector machine
Stencil Printing Optimization using a Hybrid of Support Vector Regression and Mixed-integer Linear Programming
Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks
Soil organic carbon distribution in Mediterranean areas under a climate change scenario via multiple linear regression analysis
Dating of ballpoint pen writing inks via spectroscopic and multiple linear regression analysis: A novel approach
Estimation of partially linear regression models under the partial consistency property
Bibliometric author evaluation through linear regression on the coauthor network
Robust estimators in semi-functional partial linear regression models
Clusterwise linear regression modeling with soft scale constraints
A parametrized approach for linear regression of interval data
Non-linear regression model for wind turbine power curve
Frequentist model averaging estimation for the censored partial linear quantile regression model
Varying-coefficient partially functional linear quantile regression models
Leveraging multiple linear regression for wavelength selection
On local linear regression for strongly mixing random fields
Behavioral Analysis in Nursing and Caregiving Services Using Switched Linear Regression Models
Auction optimization using regression trees and linear models as integer programs
Probabilistic load flow calculation with quasi-Monte Carlo and multiple linear regression
Detection of energy theft and defective smart meters in smart grids using linear regression
Sparse Bayesian linear regression with latent masking variables
Robust and sparse estimators for linear regression models
Multiple linear regression and fuzzy logic models applied to the functional service life prediction of cultural heritage
A multivariate linear regression method based on an improved rate equation to determine parameters of nonisothermal crystallization kinetics
On the oracle property of a generalized adaptive elastic-net for multivariate linear regression with a diverging number of parameters
Estimating functional linear mixed-effects regression models
Pattern-based local linear regression models for short-term load forecasting
Co-changing code volume prediction through association rule mining and linear regression model
Analysis of quantities influencing the performance of time synchronization based on linear regression in low cost WSNs
Robust tests for linear regression models based on ττ-estimates