This study develops a sedimentation process model that simulate the effects of inflow water quality, treatment flow rate and outflow water quality. The model uses transfer function ARIMA (Auto-Regressive Moving Average) for reflecting the dynamic characteristics of the system The sedimentation model for outflow water turbidity are separated into low and high turbidity by input variables, turbid...

In this paper, we have examined 4 models for Great Salt Lake level forecasting: ARMA (Auto-Regression and Moving Average), ARFIMA (Auto-Regressive Fractional Integral and Moving Average), GARCH (Generalized Auto-Regressive Conditional Heteroskedasticity) and FIGARCH (Fractional Integral Generalized Auto-Regressive Conditional Heteroskedasticity). Through our empirical data analysis where we div...

The paper discusses the properties of Auto-Regressive Integrated Moving Average (ARIMA) models and proceeds to estimate a model for monthly evolution annual inflation rate in Moldova from January 2013 October 2021. aim is develop relying exclusively upon historical as an additional instrument forecasting purposes. estimated explains close 97 % variation over model’s estimation period used gener...

energy price forecast is the key information for generating companies to prepare their bids in the electricity markets. however, this forecasting problem is complex due to nonlinear, non-stationary, and time variant behavior of electricity price time series. accordingly, in this paper a new strategy is proposed for electricity price forecast. the forecast strategy includes wavelet transform (wt...

The present study investigated relationships between changes in power output (PO) to torque (TOR) or freely chosen cadence (FCC) during thermal loading. Twenty participants cycled at a constant rating of perceived exertion while ambient temperature (Ta) was covertly manipulated at 20-min intervals of 20 °C, 35 °C, and 20 °C. The magnitude responses of PO, FCC and TOR were analyzed using repeate...

Abstract Life expectancy at birth (LEB) is a major factor for decision-making bodies when developing new healthcare policies or improving existing ones. This paper, with the help of R language, processes and examine LEB data in Saudi Arabia from 1960 to 2012 using time-series analysis. To test validity model, 2013 2018 are used. The performance selected auto regressive integrated moving average...

Mycobacteriosis in swine is a common zoonosis found in abattoirs during meat inspections, and the veterinary authority is expected to inform the producer for corrective actions when an outbreak is detected. The expected value of the number of condemned carcasses due to mycobacteriosis therefore would be a useful threshold to detect an outbreak, and the present study aims to develop such an expe...

In this paper, we want to examine how unemployment impacts social life, and, by using datasets from six European countries, analyze the effect of on two main aspects life: exclusion and life satisfaction. First, predict rates Auto Regressive Integrated Moving Average (ARIMA) model results are further used in a linear regression alongside satisfaction data, thus obtaining hybrid model. With help...

FinTech companies have emerged as a new force in the financial industry recent years. Their innovative business models, high growth performance, and broad market prospects attracted attention pursuit of numerous investors. Therefore, predicting future trend company stocks is significant for This paper selects PayPal prediction target, collects closing prices from 2018 to 2023, uses Auto-regress...