Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Seasonal ARIMA"”.
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Modeling And Dynamic Resource Allocation For High Definition And Mobile Video Streams
… and accurate video source model: Simplified Seasonal ARIMA Model: SAM). SAM is capable of capturing the statistical characteristics of video traces with less than 5% difference from their calculated optimal models. SAM is shown to be capable of modeling video traces encoded with MPEG-4 Part2, …
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Cyber security risk analysis framework : network traffic anomaly detection
… utilizing various time series algorithms (Seasonal ETS, Seasonal ARIMA, TBATS, Double-Seasonal Holt-Winters, and Ensemble methods) and Long Short-Term Memory Recurrent Neural Network algorithm. Upon creating the baselines and forecasting network traffic trends, the anomaly detection …
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Time Series Forecasting Modeling for Demand of Emergency Department
… 시계열 모델 중 1) MA(Moving Average) 모델, 2) 단변량 - 계절형 ARIMA(Seasonal Auto- Regressive Integrated Moving Average) 모델, 3) 다변량 - 계절형 ARIMA(Seasonal Auto- Regressive Integrated Moving Average)모델을 구축하였다. 그리고, 각 모델의 적합도 평가를 위해 1) 잔차분석, 2) AIC(Akaike Information Criterion), BIC(Bayesian Information Criterion) …
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An Exploratory Study on Methods for Interpolating and Extrapolating Baseball Win-Loss Percentage
… a cubic function. The last model we examine is a seasonal Auto-Regressive Integrated Moving Average (SARIMA) model that was generated following the Box-Jenkins method. With W-L% data from 1998 to 2021, we produce Fourier series, cubic spline, and SARIMA models for each team with the help of …
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SARIMA Short to Medium-Term Forecasting and Stochastic Simulation of Streamflow, Water Levels and Sediments Time Series from the HYDAT Database
… water levels, and sediments in Canada using Seasonal Autoregressive Integrated Moving Average (SARIMA) time series models. The methodology can account for linear trends in the time series that may result from climate and environmental changes. A Universal Canadian forecast Application using …