Comparing Weighted Markov Chain and Auto-Regressive Integrated Moving Average in the Prediction of Under-5 Mortality Annual Closing Rates in Nigeria
نویسندگان
چکیده
منابع مشابه
A Switchgrass-based Bioethanol Supply Chain Network Design Model under Auto-Regressive Moving Average Demand
Switchgrass is known as one of the best second-generation lignocellulosic biomasses for bioethanol production. Designing efficient switchgrass-based bioethanol supply chain (SBSC) is an essential requirement for commercializing the bioethanol production from switchgrass. This paper presents a mixed integer linear programming (MILP) model to design SBSC in which bioethanol demand is under auto-r...
متن کاملPrediction of Zoonosis Incidence in Human using Seasonal Auto Regressive Integrated Moving Average (SARIMA)
Zoonosis refers to the transmission of infectious diseases from animal to human. The increasing number of zoonosis incidence makes the great losses to lives, including humans and animals, and also the impact in social economic. It motivates development of a system that can predict the future number of zoonosis occurrences in human. This paper analyses and presents the use of Seasonal Autoregres...
متن کاملcomparison of auto regressive integrated moving average and artificial neural networks forecasting in mortality of breast cancer
b a c k g r o u n d & aim: one of the common used models in time series is auto regressive integrated moving average (arima) model. arima will do modeling only linearly. artificial neural networks (ann) are modern methods that be used for time series forecasting. these models can identify non-linear relationships among data. the breast cancer has the most mortality of cancers among...
متن کاملNetwork Traffic Prediction Model Based on Auto-regressive Moving Average
With the development of Internet and computer science, computer network is changing people’s lives. Meanwhile, Network traffic prediction model itself becomes more and more complex. It is an important research direction to quickly and accurately detect the intrusions or attacks. The performance efficiency of a network intrusion detection system is dominated by pattern matching algorithm. Howeve...
متن کاملcomparison of arima, fuzzy regression and fuzzy auto regressive integrated moving average methods in price forecasting
abstract nowadays, due to the environmental uncertainty and rapid development of new technologies, economic variables are often predicted by using less data and short-term timeframes. therefore, prediction methods which require fewer amounts of data are needed. auto regressive integrated moving average (arima) model and artificial neural networks (anns) need large amounts of data to achieve acc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Statistics and Probability
سال: 2020
ISSN: 1927-7040,1927-7032
DOI: 10.5539/ijsp.v9n3p13