A new quantile regression forecasting model

Aggregation systems for sales forecasting

“…The literature reports many methods for dealing with sales forecasting (Dalrymple, 1978;Huarng & Yu, 2014). Usually, scholars study the average sale with the arithmetic mean, if all the variables under study are equally important, or with the weighted average, if the variables have different degrees of importance.…”

Talent Goes Social: Online Corporate Networking and Business Performance

“…Secondly, we adopt a second measure that several scholars used to combat this bias: quantile regressions [64][65][66]. This type of regression performs conditional regressions for each quantile of the dependant variable.…”

Forecasting ICT development through quantile confidence intervals

“…examines the heterogeneous effects of population density, GDP per capita, and telephone lines per 100 inhabitants on global ICT adoption (Internet users per 100 inhabitants). and Huarng and Yu (2014) propose in-sample data to generate QIC and NQIC, respectively, to forecast the same data set as .Using similar variables, Huarng (2015) applies fuzzy set/Qualitative Comparative Analysis to conduct ICT development analysis and forecasting.…”

“…To demonstrate the performance improvement, this study also compares the forecasting results with those from both , and Huarng and Yu (2014). In Yu (2014) …”

“…To improve forecasting performance, Huarng and Yu (2014) propose a new QIC (NQIC) to identify if a variable is predictable and thus improve the forecasting results through quantile regressions.…”