Time series analysis plays a crucial role in understanding and predicting the path future prospects of industries, including popular music industry. This paper constructed an Box-Jenkins ARIMA (BJ-ARIMA) methodology to analyze time data industry, with focus on relationship between business culture. By employing approach, BJ-ARIMA forecast trends make informed predictions about development Ident...

Salt production in Madura Island is running by evaporation method (solar evaporator). Thus, the process of salt highly dependent on weather factors. Weather conditions one determinants success targets. In this study aims to determine forecasting rainfall support at PT Garam Gersik Putih Sumenep. The used analyze data 2022 box-Jenkins Autoregressive Integrated Moving Average (ARIMA) model. Box-J...

سعت هذه الدراسة الى امكانية التنبؤ بالمخاطرة لاسهم المؤسسات المدرجة في الاسواق المالية، وقد اجريت عدد من السوق المالية السعودية وشملت عينة (5) مؤسسات مدرجة السعودية، وتم اخذ المشاهدات اليومية لأسعار اغلاق اسهم للمدة (2013-2021). وانطلقت مشكلة يعاني منها اغلب المستثمرين وهي حالة عدم التأكد او القدرة على بمخاطر الاوراق والتي مازالت محل جدل حيث النماذج المستخدمة واساليب التحليل الفني الكثيرة، فضلا...

The economic dimension has revealed that weak growth is one of the causes unemployment and related to GDP. Forecasting rate essential an important determinant monetary policy decisions needs be addressed. This study conducted identify whether novel coronavirus 2019, COVID-19 affects Malaysia’s forecast for next two years. Box-Jenkins approach uses Augmented Dickey-Fuller test stabilize data. Af...

hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. the present study is an application of sequential gaussian simulation (sgsim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of behbahan aquifer, southwest of iran. to generate real...

This document is intended to provide a first time user of I D E N T with tutorials on the usage of the program. The user should be familiar with the theoretical aspects of linear system identification. The Box and Jenkins (1976) Time Series Analysis is probably the best first reference. Following are explanations of each command (generated by IDENT), and examples of each command. I D E N T uses...

This paper looks at the problem of system identification from non-uniformly sampled input-output data. It describes how refined instrumental variable estimators can be derived to directly identify the parameters of continuous-time output error and Box-Jenkins transfer function models from irregularly sampled data. Monte Carlo simulation analysis is used to illustrate the properties of the propo...