RETRACTED ARTICLE: Comparative analysis of time series model and machine testing systems for crime forecasting
Crime forecasting has been one of the most complex challenges in law enforcement today,
especially when an analysis tends to evaluate inferable and expanded crime rates, although …
especially when an analysis tends to evaluate inferable and expanded crime rates, although …
Non-stationary time series data for natural rubber inventory forecasting: A case study
PPLK Corp. is a company that uses natural rubber as the main raw material to produce
crumb rubber. The problem identified in PPLK Corp. is the insufficient amount of natural …
crumb rubber. The problem identified in PPLK Corp. is the insufficient amount of natural …
Crude Palm Oil Price Forecasting: Comparative Study of Hybrid GMDH Neural Network and ARIMA Model
H Basheer, A Khamis - Proceedings of the 7th International Conference on …, 2022 - Springer
This paper attempts to develop a more appropriate hybrid wavelet modified GMDH model
and its comparative study with statistical ARIMA model for the Malaysia monthly crude palm …
and its comparative study with statistical ARIMA model for the Malaysia monthly crude palm …
Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting
N Isah - 2020 - eprints.uthm.edu.my
Crude oil price forecasting is an important component of sustainable development of many
countries as crude oil is an unavoidable product that exist on earth. Crude oil price …
countries as crude oil is an unavoidable product that exist on earth. Crude oil price …
[引用][C] Forecasting the Banque Pour Le Commerce Exterieur Lao Public Stock'Return During the Covid-19 Pandemic Using the Box-Jenkins Approach
P DOUANGVILAYKEO - Souphanouvong University Journal Multidisciplinary …, 2021