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 model is applied to fluctuate stock price data in the stock exchange of Thailand. The data consist of the closing prices of 5 stocks. The algorithms are written in OpenBUGS and the performance of the model is evaluated via a simulation study in R. The cumulative distribution functions considered here are a Weibull cumulative distribution function and an exponential cumulative distribution. They are compared using RMSE MAPE and MAE as criteria. The research found that an exponential cumulative function for trends gives smaller values of the three criteria in both model fitting and model validation for the4 stocks EA NWR and KTB. However a Weibull cumulative distribution function gives smaller values of three criteria for the PTT in both model fitting and model validation.

This study aimed to investigate the decision of mathayom 3 students to enter Home Economics program in Kanchanaburi Vocational College. The instrument was questionnairs and the data were analyzed using describing statistics. The result of this case study found that the decision of mathayom 3 students in Kanchanaburi to enter Home Economics program showed that female students made a decision to study Home Economics more than male. The most study achievement was between 2.00 – 2.99 . Most parent’s occupation is employee. Their income was lower than 10001 baths per month. Most students received suggestion to make further study from mothers. Most of students were not interested to study Home Economics. Students who made decision to further their studies in Home Economics most of them have knowledge in cooking. And students who were not interested in Home Economics had no knowledge of Home Economics. The institution for their decision to further their studies is Kanchanaburi Vocational College.