Penelitian ini bertujuan untuk memprediksi seberapa banyak penambahan jumlah kasus COVID-19 di Kabupaten Sidoarjo Provinsi Jawa Timur dalam beberapa hari ke depan menggunakan metode ARIMA. Data yang digunakan berupa data total pasien positif dan sembuh dari bulan Januari 2021 sampai Juli 2021. Hasil penelitian adalah model terbaiknya ARIMA (2,2,1) dengan nilai MSE sebesar 1540,51. Sedangkan (3,...

We discuss computational aspects of likelihood-based estimation of univariate ARFIMA(p, d, q) models. We show how efficient computation and simulation is feasible, even for large samples. We also discuss the implementation of analytical bias corrections.

Tuberculosis is a major global public health problem, which also affects economic and social development. China has the second largest burden of tuberculosis in the world. The tuberculosis morbidity in Xinjiang is much higher than the national situation; therefore, there is an urgent need for monitoring and predicting tuberculosis morbidity so as to make the control of tuberculosis more effecti...

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

1Department of Communicable Disease Control and Prevention, Jämtland County Council, Östersund, Sweden; 2Department of Clinical Microbiology, Unit of Clinical Research CenterÖstersund, Umeå University, Umeå, Sweden; 3Centre of Registers in Northern Sweden, Umeå University, Umeå, Sweden; 4Swedish Health Care Direct 1177, Jämtland County Council, Östersund, Sweden; 5Department of Clinical Microbi...

Since the publication of the Bellcore measurements in the early nineties, long-range dependence (LRD) has been in the center of a continuous debate within the teletraac community. While researchers largely acknowledge the signiicance of the LRD phenomenon, they still disagree on two issues: (1) the utility of LRD models in buuer dimensioning and bandwidth allocation, and (2) the ability of comm...

Morehead City, North Carolina, faced a moratorium on new construction because of problems with its sewage system. We developed an autoregressive integrated moving average (ARIMA) transfer function-intervention model to help town officials explain the sources of variation in the volume of sewage-treatment-plant discharge to the state officials who had imposed the moratorium on extending the sewa...