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 of the proposed model with the classical Holt-Winters Additive Exponential smoothing. The proposed model is a linear mixed model (LMM) with spatial effects which follow a conditional autoregressive model (CAR). Dummy variables are used for seasonal effects. A Bayesian method is used for parameter estimation. The estimated monthly yields are used for the monthly rubber yield forecasting. The dependent variables are the rubber yield in each month of each province. The data are secondary data at a provincial level. The factors considered are spatial effects heterogeneity effects and seasonal effects. The results show that the factors influencing on the amount of rubber yields are spatial heterogeneity and seasonal effects. The proposed model is proper and forecast accurately. Using the mean absolute error (MAE) the proposed model has a better performance compared to the classical Holt-Winters Additive Exponential smoothing in both model fitting and model validating. The proposed model should be the first consideration for spatial time series forecasting.

Thailand is on the way toward ASEAN Economic Community or AEC in the year 2015. The AEC aims to create one-solid base for production and distribution and concurrently seek mutual economical profits. A kind of business that may allow Thai entrepreneur to survive more easily in ASEAN is the selling and purchasing of goods and services via internet or ‘E-commerce’. The objective of this research is to study the factors that influence the development of E-commerce that will facilitate Thai entrepreneur when we enter AEC. The samples of our study are the group of E-commerce’s entrepreneurs who legitimately registered with Department of Business Development. Our research revealed that the major factors that influence the development of E-commerce is the knowledge in foreign language which is considered to be the source of major advantage for business with average at 3.9750. Follow by the opening of free trade area which will cause more obstacles in term of the increasing number of competitor with average at 3.8475. The lease is population’s preference that would directly affect business’s revenue with average at 3.7450.

The purposes of this study were 1) to study exercise behavior and media exposures 2) to compare personal factors with exercise behavior and 3) to study the media influences and factors affecting exercise behavior of the elders in Bangkok Metropolis. The data were collected through 450 elders residing in Bangkok Metropolitans. Data analysis employed frequency percentage mean (x)and standard deviation (SD.). Statistics used for hypothesis testing included t-Test Oneway ANOVA and Stepwise multiple regression analysis. The study presented