Crude oil price fluctuations affect the business cycle due to affecting ups and downs of growth economy, which one indicators economic phenomenon. The importance prediction requires a model that can predict future prices quickly, easily, accurately so it be used as reference in determining policies. Machine learning is an accurate method predicting makes easier because there no need program com...

In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been developed and applied to many practical problems. In this paper, we introduce the SSA technique based on the minimum variance estimator. We also consider the SSA technique based on the minimum variance and structured total least squares estimators in reconstructing and forecasting ti...

• Traditional approaches, including Box–Jenkins autoregressive integrated moving average (ARIMA) model, autoregressive and moving average with exogenous variables (ARMAX) model, seasonal autoregressive integrated moving average (SARIMA) model, exponential smoothing models [including Holt–Winters model (HW) and seasonal Holt and Winters’ linear exponential smoothing (SHW)], state space/Kalman fi...

During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear can be an encouraging alternative to traditional models. Linear are often compared mixed conclusions terms superiority performance. Therefore, aim this study is build early wa...

در این تحقیق به مقایسه تحلیلی و عددی آبشار جریان برگشتی مدل R با آبشارهای Q QI سیستم‌­های چندجزیی پایدار پرداخته می‌­شود. راستا برای اولین بار کدهای جهت طراحی منظور کد نرم‌افزار متلب نوشته شده‌­اند. نتایج نشان می‌­دهد که دو جزء 1k 2k از خوراک Nc جزء، تعداد معدودی قابل تعریف است همگی حالات خاصی می­‌باشد. هم‌­چنین یافته‌­ها مجموع مقدار برش جزیی همیشه برابر یک است. طریق داده می‌­شود صورتی میانگین ...

The COVID-19 pandemic is a serious threat to all of us. It has caused an unprecedented shock the world’s economy, and it interrupted lives livelihood millions people. In last two years, large body literature attempted forecast main dimensions outbreak using wide set models. this paper, I short- mid-term cumulative deaths from in 12 hard-hit big countries around world as 20 August 2021. data use...

The need for inflow discharge forecasts is the first step in process of integrating water management. To overcome this problem, a forecasting analysis system needed. This paper adopts seasonal autoregressive integrated moving average model, SARIMA. method was chosen and then applied to data Wonorejo Reservoir obtain best model. Determination model through performance measures using minimum Mean...