Now showing items 1-5 of 5
Stochastic Processes for Time Series Models with an Application to Data of Cash and Future Prices of Rice in Thailand
The objective of this research is to use a stochastic process for building a model using Bayesian parameter estimation. The model is applied to the of crash prices and future prices of rice in Thailand for 120 moths including ...
Choosing appropriate seasonal functions in bayesian time series models for analyzing prices and yields of natural rubber in Thailand
The objectives of this research were to create a model for time sereries data, prices and yields of natural rubber, to be more accurate prediction and to compare the proposed model with the classical time series models ...
Proper model selection for predicting statio-temporal time series data of rice and rubber
The objectives of this research were to propose a model with some functions including CAR spatial effects and to select a proper model for predicting rince and rubber yields in southern provices of Thailand. A ...
Selection of cumulative distribution function for trend in model formation for the analysis of simultaneous multiple time series data with autocorrelation, trend and outliers using bayesian method : case study in fluctuate stock price in the Stock Exchange of Thailand
The objective of this research is to select a proper cumulative function for trend in an analysis of simultaneous multiple time series data with autocorrelation, trend, and outliers using a Bayesian method. The proposed ...
Bayesian models for spatial time series Data applied to rubber yields in southern provinces of Thailand
The objectives of this research are to propose a Bayesian model for spatial time series analysis, to apply the proposed model to forecast a monthly rubber yield in Southern provinces of Thailand, and to compare the performance ...