While the Covid-19 epidemic in world was not over yet, monkeypox started. The virus spread to more than 59 countries 4 months. Computer-aided forecasting models are needed effectively control this spread. It has been seen previous outbreaks that time-series effective estimating impact of and taking necessary precautions. In study, different Automatic Regressive Integrated Moving Average (ARIMA)...

The paper constructs various core inflation measures. These include various trimmed means using disaggregated data and a structural VAR estimate of core inflation for Ireland. The ability of these core inflation measures to forecast future headline inflation is compared using a regression model. An ARIMA model fitted to the headline inflation rate is used as the benchmark forecast. The forecast...

The popularity of lotteries has increased worldwide in the last few years, and so its revenues, making them an useful study case. This paper shows the research done for testing the randomness of the results of three lotteries and to check if there were any patterns, studying them as time series. This research was done using three methods, statistical randomness tests, autoregressive integrated ...

A model for predicting travel times by mining spatiotemporal data acquired from vehicles equipped with Global Positioning System (GPS) receivers in urban traffic networks is presented. The proposed model, which uses k-nearest neighbour (kNN) non-parametric regression, is compared with models that use historical averages and the seasonal autoregressive integrated moving average (ARIMA) model. Th...

Interrupted time-series analysis (ITSA) can be used to identify, quantify, and evaluate the magnitude and direction of an event on the basis of time-series data. This study evaluates the impact of the bioterrorist anthrax attacks ("Amerithrax") on hospital inpatient discharges in the metropolitan statistical area of Palm Beach, Broward, and Miami-Dade counties in the fourth quarter of 2001. Thr...

Due to the overexploitation of Chambo (Oreochromis species), other species such as Utaka (Copadichromis species) have become important part of Lake Malaŵi, Nkhatabay fishery. The shift to Copadichromis species has put the stocks on danger of being overexploited just as was the case with Chambo (Oreochromis species). The study was therefore conducted to forecast Copadichromis (Utaka) species yie...

Precipitation time series exhibit complex fluctuations and statistical changes. Existing research stops short of a simple feasible model for precipitation forecasting. In this article, the authors investigate forecast variations in South Korea from 1973 to 2021 using cyclostationary empirical orthogonal function (CSEOF) regression methods. First, (EOF) CSEOF analyses are used examine periodic c...

In an e€ort to forecast daily maximum ozone concentrations, many researchers have developed daily ozone forecasting models. However, this continuing worldwide environmental problem suggests the need for more accurate models. Development of these models is dicult because the meteorological variables and photochemical reactions involved in ozone formation are complex. In this study, a neural net...

This paper presents a predictive study applied to a manufacturing equipment in order to predict malfunctions, and consequently enabling predictive maintenance practices. ARIMA forecasting methods are successfully compared with neural networks models, both used over data obtained from a monitoring system that continuously keeps track of the relevant equipment parameters. The results show that bo...