Showing 1 - 10 of 308
Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...
Persistent link: https://www.econbiz.de/10014517330
Persistent link: https://www.econbiz.de/10014448266
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10011303289
Persistent link: https://www.econbiz.de/10011718491
Despite the copious number of statistical failure prediction models described in the literature, testing of whether …
Persistent link: https://www.econbiz.de/10011821660
emphasize the paradigms of agile testing, validation and verification in collaborative environment. …
Persistent link: https://www.econbiz.de/10011165680
This study estimates the suitability of prediction markets (as instruments of internal control) by analyzing their …. Concurrently, 12 prediction markets were set up, in which the participants could buy and sell their forecasts 24 hours a day, seven … it would influence the survey indicators, the prediction market prices, and their sensitivity to misinformation. Finally …
Persistent link: https://www.econbiz.de/10011488438
Persistent link: https://www.econbiz.de/10011859813
The aim of this paper is to present the principal characteristics, advantages and limitations of the new development approach of business decision making aid tools, based on Artificial Intelligence technology, and its main development tools: Expert Systems. For this purpose, in the first section...
Persistent link: https://www.econbiz.de/10011272996
Persistent link: https://www.econbiz.de/10014299658