Time series forecasting models for new serologically confirmed HIV cases in the Philippine.
Abstract (Prediction of new HIV incidence is imperative for assessing future healthcare and public health programs, budget, and commodities procurement. Exponential smoothing, ARIMA, SARIMA, and Poisson autoregression are compared in predicting the monthly new HIV cases in the Philippines. SARIMA y...
| Главный автор: | |
|---|---|
| Формат: | Диссертация |
| Язык: | English |
| Опубликовано: |
Quezon City
University of the Philippines
2016.
|