Similar Search Results

Nonparametric and semiparametric regressions subject to monotonicity constraints : estimation and forecasting

Lee, Tae-hwy; Tu, Yundong; Ullah, Aman - In: Journal of econometrics 182 (2014) 1, pp. 196-210

Persistent link: https://www.econbiz.de/10010497090

Classifier calibration using splined empirical probabilities in clinical risk prediction

Gaudoin, René; Montana, Giovanni; Jones, Simon; Aylin, Paul - In: Health care management science 18 (2015) 2, pp. 156-165

Persistent link: https://www.econbiz.de/10011287006

Forecasting residential electric power consumption for Bogotá Colombia using regression models

Peña-Guzmán, Carlos; Rey, Juliana - In: Energy reports 6 (2020) 1, pp. 561-566

This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm...

Persistent link: https://www.econbiz.de/10012177360

Time-geographically weighted regressions and residential property value assessment

Cohen, Jeffrey P.; Coughlin, Cletus Charles; Zabel, … - In: The journal of real estate finance and economics 60 (2020) 1/2, pp. 134-154

Persistent link: https://www.econbiz.de/10012226646

Linear regression for predictive analytics

Laha, Arnab Kumar - In: Advances in analytics and applications, (pp. 13-19). 2019

Persistent link: https://www.econbiz.de/10011974408

Direct normal irradiance predictions using broadband models for Indian stations

Rohilla, Laxmi Narain; Singh, Dinesh Kumar - In: Energy reports 6 (2020) 2, pp. 572-576

In this paper three parametric models CPCR2, MLWT2 and REST have been used to compute direct normal irradiance (DNI) for five Indian stations, namely New Delhi, Pune, Jaipur, Kolkata and Mumbai. Computed values of DNI have been compared with measured values in terms of percentage root mean...

Persistent link: https://www.econbiz.de/10012181212