Keywords: Prediction errors; Measurement noise; Multivariate calibration; Error propagation; Heteroscedastic errors; Correlated errors
مقالات ISI (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Wavelet density deconvolution estimations with heteroscedastic measurement errors
Keywords: 62G07; 42C40; 62G20; Density estimation; Wavelets; Consistency; Heteroscedastic errors;
DS-optimal designs for random coefficient first-degree regression model with heteroscedastic errors
Keywords: 62K05; 62J05; DS-optimal design; Heteroscedastic errors; FCR model; RCR model;
Improved estimation of fixed effects panel data partially linear models with heteroscedastic errors
Keywords: primary; 62H12; secondary; 62A01; Consistent estimator; Fixed effects; Heteroscedastic errors; Incidental parameter; Partially linear;
Orthogonality-projection-based estimation for semi-varying coefficient models with heteroscedastic errors
Keywords: Asymptotic normality; Heteroscedastic errors; Orthogonality-projection; Semi-varying coefficient models;
Adaptive estimation of vector autoregressive models with time-varying variance: Application to testing linear causality in mean
Keywords: VAR model; Heteroscedastic errors; Adaptive least squares; Ordinary least squares; Kernel smoothing; Linear causality in mean; Bahadur relative efficiency
Multivariate calibration of non-replicated measurements for the factored noise model
Keywords: Multivariate calibration; Principal component regression; Error covariance matrix; Factorial noise model; Heteroscedastic errors;
Modeling the effects of varying data quality on trend detection in environmental monitoring
Keywords: Trend detection; Linear models; Heteroscedastic errors; Data quality; Monitoring programs
Multivariate calibration of non-replicated measurements for heteroscedastic errors
Keywords: Multivariate calibration; Principal component regression; Maximum likelihood principal component regression; Heteroscedastic errors; Errors-in-variables regression
Testing heteroscedasticity in partially linear regression models
Keywords: 62G05; secondary 62G20; 62M10; Partially linear regression model; Heteroscedastic errors; Asymptotic normality; Hypothesis testing;