نتایج جستجو برای: regressive integrated moving average arima
تعداد نتایج: 730971 فیلتر نتایج به سال:
The massive spread of COVID-19 has disrupted trading activities worldwide plunging the economy a nation; particularly, trade-dependent nations are severely affected by restriction in exports and imports. This paper aims to evaluate implications on trade New Zealand exploratory data analysis ARIMA modeling. Based comprehensive strategy prediction, were processed notice impact pandemic sales. (Au...
One of the most basic needs any human being to survive is air. Unfortunately, this need polluted by many natural factors like volcanic eruptions, forest fires, and man-induced transportation emission. Unpolluted air now an ideal environment that can never be achieved. So, pollution levels should monitored continuously. However, monitoring will not fix environment. Forecasting these make society...
G13AFF is an easy-to-use version of G13AEF. It fits a seasonal autoregressive integrated moving average (ARIMA) model to an observed time series, using a nonlinear least-squares procedure incorporating backforecasting. Parameter estimates are obtained, together with appropriate standard errors. The residual series is returned, and information for use in forecasting the time series is produced f...
This paper anticipates trends in the digital economy during a COVID-19 epidemic worldwide. The United States and China are considered world’s largest economies have attempted to transition fully over last few years. Therefore, this used auto-regressive integrated moving average (ARIMA) model gross domestic product (GDP) for USA period 1960-2019. As we arrive at peak of pandemic, one most squeez...
In this exploratory study, the authors examined the dynamics of self-esteem in 8 adults over a 6-month period. Each participant (M age = 29.4 years, SD = 7.9, SEM = 2.8) completed a single item from the Physical Self Inventory (G. Ninot, M. Fortes, & D. Delignières, 2001) using a 10-cm visual analog scale (horizontal line), twice a day between 7:00 and 9:00 a.m. and between 7:00 and 9:00 p.m. T...
Background: In India, the dairy business is expanding dramatically. Tamil Nadu milk cooperatives significantly contribute to growth of sector in state. terms delivering economic income for smallholders and satisfying customer demand, identification production one primary financial operations made India. Considering this, it crucial understand future enhance sustain sector’s development. Methods...
The increasing demand for clean energy and the global shift towards renewable sources necessitate reliable solar radiation forecasting effective integration of into system. Reliable has become crucial design, planning, operational management systems, especially in context ambitious greenhouse gas emission goals. This paper presents a study on application auto-regressive integrated moving averag...
Coronavirus disease (Covid-19) caused millions of confirmed cases and thousands deaths worldwide since first appeared in China. Forecasting methods are essential to take precautions early control the spread this rapidly expanding pandemic. Therefore, research, a new customized hybrid model consisting Back Propagation-Based Artificial Neural Network (BP-ANN), Correlated Additive Model (CAM) Auto...
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