Sentence examples for linear regression based from inspiring English sources
Hence, new prediction models are proposed through multiple linear regression based on the YD SCPTU database, which relies on CPT-based variables (qt, fs, Bq, Ic, z) and additional laboratory data.
Linear regression based on dynamic panel data, examined the impact of working capital on competitive performance.
Linear regression, based on the least square method, is employed to determine coefficients in hydrodynamic model.
Finally the result is compared with both fuzzy logic and linear regression based methods.
Seasonal hedging strategies, linear regression based strategies, or even a naïve position, perform better than more sophisticated statistical methods.
The summertime mean observed sensitivity between N 100 and temperature, calculated across all observation stations, is +51.3 ± 5.9 cm−3 K−1 (linear regression based on 500 bootstrap samples) and is well reproduced by the model (+43.5 ± 4.2 cm−3 K−1).
This study introduces self-organizing maps as a clustering approach for several measures in accounting that rely on local linear regression-based estimation models with an initial and essential clustering phase.
In particular, we employ a multivariate generalized autoregressive conditionally heteroskedastic (MVGARCH) model involving time-varying settings and multivariate Markov switching autoregressive conditionally heteroskedastic (MVSWARCH) model with regime-switching techniques and compare them with a conventional linear regression-based (LRB) model.
In this paper, we design two linear regression-based algorithms to study consumers' energy utilization behavior and evaluate their anomaly coefficients so as to combat energy theft caused by meter tampering and detect defective smart meters.
For regression, the most previous works used the linear regression-based model for seasonal tropical forecasting.
According to the literatures review, the most previous works applied the linear regression-based models for seasonal tropical forecasting.
