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Full-Text Articles in Statistical Models
Seasonal Time Series Models With Application To Weather And Lake Level Data, Mengqing Qin
Seasonal Time Series Models With Application To Weather And Lake Level Data, Mengqing Qin
MSU Graduate Theses
This work studies seasonal time series models with application to lake level and weather data. The thesis includes related time series concepts, integrated autoregressive moving average models (abbreviated as ARIMA), parameter estimation, model diagnostics, and forecasting. The studied time series models are applied to the data of daily lake level in Beaver Lake (1988-2017) and the data of daily maximum temperature in New York Central Park (1870-2017). Due to seasonality of the data, three different approaches are proposed to the modeling: regression method, functional ARIMA method and multiplicative seasonal ARIMA method. The forecasted values of the year 2018 are compared …
Decision Trees And Their Application For Classification And Regression Problems, Obinna Chilezie Njoku
Decision Trees And Their Application For Classification And Regression Problems, Obinna Chilezie Njoku
MSU Graduate Theses
Tree methods are some of the best and most commonly used methods in the field of statistical learning. They are widely used in classification and regression modeling. This thesis introduces the concept and focuses more on decision trees such as Classification and Regression Trees (CART) used for classification and regression predictive modeling problems. We also introduced some ensemble methods such as bagging, random forest and boosting. These methods were introduced to improve the performance and accuracy of the models constructed by classification and regression tree models. This work also provides an in-depth understanding of how the CART models are constructed, …