Ejemplares similares: Time series forecasting via integrating a filtering method: an application to electricity consumption
- A novel hybrid framework for forecasting stock indices based on the nonlinear time series models
- A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation
- Influence measures in nonparametric regression model with symmetric random errors
- Sample size in quantitative instrument validation studies: A systematic review of articles published in Scopus, 2021
- A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil
- Comparison Between Hierarchical Time Series Forecasting Approaches for the Electricity Consumption in the Brazilian Industrial Sector
Tópico: Statistics, general
- Influence measures in nonparametric regression model with symmetric random errors
- Time series forecasting via integrating a filtering method: an application to electricity consumption
- A novel hybrid framework for forecasting stock indices based on the nonlinear time series models
- A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation
Tópico: Probability and Statistics in Computer Science
- Time series forecasting via integrating a filtering method: an application to electricity consumption
- A novel hybrid framework for forecasting stock indices based on the nonlinear time series models
- A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation
Autor: Leite Coelho da Silva, Felipe
- A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil
- Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
- Data-Driven Socioeconomic Segmentation for Residential Energy Planning: A Machine Learning Approach
- Modeling Air Pollution in Metropolitan Lima: A Statistical and Artificial Neural Network Approach
- Time series forecasting via integrating a filtering method: an application to electricity consumption
- Comparison Between Hierarchical Time Series Forecasting Approaches for the Electricity Consumption in the Brazilian Industrial Sector
Autor: da Silva Cordeiro, Josiane
- A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil
- Data-Driven Socioeconomic Segmentation for Residential Energy Planning: A Machine Learning Approach
- Time series forecasting via integrating a filtering method: an application to electricity consumption
- Comparison Between Hierarchical Time Series Forecasting Approaches for the Electricity Consumption in the Brazilian Industrial Sector