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Keyword: Multivariate Analysis
Forecasting Gold Price in Rupiah using Multivariate Analysis with LSTM and GRU Neural Networks
Forecasting the gold price movement’s volatility has essential applications in areas such as risk management, options pricing, and asset allocation. The multivariate model is expected to generate more accurate forecasts than univariate models in time series data like gold prices. Multivariate analysis is based on observation and analysis of more than one statistical variable at…
Read More Associated Risk Factors for the Development of Extensively Resistant Pulmonary Tuberculosis in the First Level of Health Care: From a Public Health Perspective
To determine the risk factors associated with the development of extensively resistant pulmonary tuberculosis in the DIRIS Lima Sur, 2017. The type of research was observational, quantitative, analytical, retrospective case-control approach. The population consisted of 158 patients with MDR-TB treatment schedule between 2016 and 2017. The sample consisted of 24 cases diagnosed with extensively drug-resistant…
Read More Modeling an Energy Consumption System with Partial-Value Data Associations
Many existing system modeling techniques based on statistical modeling, data mining and machine learning have a shortcoming of building variable relations for the full ranges of variable values using one model, although certain variable relations may hold for only some but not all variable values. This shortcoming is overcome by the Partial-Value Association Discovery (PVAD)…
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