Linear programming-based estimators in simple linear regression
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.
Hypothesis testing in linear regression when k/n is large
Cournot games with linear regression expectations in oligopolistic markets
Asymptotic bootstrap corrections of AIC for linear regression models
Linear regression models of floor surface parameters on friction between Neolite and quarry tiles
Distance-based local linear regression for functional predictors
Constrained linear regression models for symbolic interval-valued variables
A multi-iteration pseudo-linear regression method and an adaptive disturbance model for MPC
On guaranteed parameter estimation of a multiparameter linear regression process
A constrained recursive pseudo-linear regression scheme for on-line parameter estimation in adaptive control
Simultaneous confidence bands for all contrasts of three or more simple linear regression models over an interval
-optimality of unequal versus equal cluster sizes for mixed effects linear regression analysis of randomized trials with clusters in one treatment arm
Comparison of ANN and principal component analysis-multivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic
Functional clustering and linear regression for peak load forecasting
A diagnostic method for simultaneous feature selection and outlier identification in linear regression
Globally robust confidence intervals for simple linear regression
Robust clusterwise linear regression through trimming
Improving the generalization performance of RBF neural networks using a linear regression technique
Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model
A novel fuzzy linear regression model based on a non-equality possibility index and optimum uncertainty
Linear regression with special coefficient features attained via parameterization in exponential, logistic, and multinomial–logit forms
Estimation of a simple linear regression model for fuzzy random variables
Robust satisficing linear regression: Performance/robustness trade-off and consistency criterion
Estimating bridge performance based on a matrix-driven fuzzy linear regression model
Improved linear regression method for estimating Weibull parameters
An enhanced fuzzy linear regression model with more flexible spreads
Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators
On properties of predictors derived with a two-step bootstrap model averaging approach—A simulation study in the linear regression model
Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles
A variable spread fuzzy linear regression model with higher explanatory power and forecasting accuracy
Using genetic algorithms and linear regression analysis for private housing demand forecast
Predictive performance of Dirichlet process shrinkage methods in linear regression
Empirical Bayes linear regression with unknown model order
Comparison of the decision tree, artificial neural network, and linear regression methods based on the number and types of independent variables and sample size
Robust estimation in multiple linear regression model with non-Gaussian noise
Neural networks for bandwidth selection in local linear regression of time series
Local polynomial estimation in partial linear regression models under dependence
Robust bandwidth selection in semiparametric partly linear regression models: Monte Carlo study and influential analysis
Centre and Range method for fitting a linear regression model to symbolic interval data
Smoothing splines estimators in functional linear regression with errors-in-variables
Rate control based on linear regression for H.264/MPEG-4 AVC
Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning ☆
High accuracy estimation of multi-frequency signal parameters by improved phase linear regression
Linear regressions and neural approaches to water demand forecasting in irrigation districts with telemetry systems
Fitting finite mixtures of generalized linear regressions in R
The Koul–Susarla–Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study
A study of partial F tests for multiple linear regression models
Input selection and shrinkage in multiresponse linear regression
Dependency between degree of fit and input noise in fuzzy linear regression using non-symmetric fuzzy triangular coefficients
Effects of measurement errors in predictor selection of linear regression model
Goodness of fit and variable selection in the fuzzy multiple linear regression
Partial linear regression for speech-driven talking head application
Influential data cases when the CpCp criterion is used for variable selection in multiple linear regression
Generalized linear regression analysis of association of universal helmet laws with motorcyclist fatality rates
Multiple Linear Regression Application on the Inter-Network Settlement of Internet
Regional residual plots for assessing the fit of linear regression models
Estimating the linear regression model with categorical covariates subject to randomized response
Meta-heuristic algorithms for parameter estimation of semi-parametric linear regression models
Exact permutation tests for non-nested non-linear regression models
Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable
Least-squares estimation in linear regression models with vague concepts
Least squares estimation of a linear regression model with LR fuzzy response
Bounding parameters in a linear regression model with a mismeasured regressor using additional information
An algorithm for computing exact least-trimmed squares estimate of simple linear regression with constraints
Subset selection in multiple linear regression: a new mathematical programming approach
A lane-departure identification based on LBPE, Hough transform, and linear regression
Optimal weighted average power similar tests for the covariance structure in the linear regression model
A fuzzy multiple linear regression based loss formula in electric distribution systems
Comparison of the performance of multi-layer perceptron and linear regression for epidemiological data
Linear regression analysis for fuzzy input and output data using the extension principle
Fuzzy least-squares algorithms for interactive fuzzy linear regression models
Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
Fuzzy estimates of regression parameters in linear regression models for imprecise input and output data