This is to study the audience demographic have a relationship with audience behavior in watching of Insight the Parliament of people in Bangkok Compare the audience behavior have an effect and satisfaction and uses and gratification on insight of parliament and to study the audience’s opinion and satisfaction has a relationship with audience’s understanding and benefits on Insight the Parliament by using survey research. The sample was 20 years old and over from targeted 400 people who are in Bangkok and ever watched this TV program. The research instruments were questionnaires and collected data was analyzed by SPSS. The statistics used for data analysiswere frequency percentage average and standard deviation. The statistics used to test the hypothesis was t - test. And statistical analysis of the difference between averages was One - way ANOVA.

The purpose of this research is to study the effect of marketing communications on student decision in relation to enrollment for a bachelor degree at Rajamangala University of Technology Phra Naknon and to determine other factors affecting such decision of grade 12 students and year 3 vocational certificate students in Bangkok. The research tool used in this study is a questionnaire to enable analysis through frequency percentage mean standard deviation and Chi-Square Test. The findings show that subjects are influenced in their choice to study by online media (such as websites and Facebook) the public relations media of the university (in the form of newspapers journals and posters) as well as the reputation and image of the university. The results further show with a level of significance at 0.05 that student decision with regard to enrollment in a bachelor degree at Rajamangala University of Technology Phra Naknon depends on viral marketing or word-of-mouth marketing

The objective of this research work was to arrange a performance measurement for finding factors which will have influence on the capacity of Faculty of Engineering Rajamangala University of Technology Phra Nakhon leading it to become a digital university. The results of making a survey on the data from the personnel of the Faculty of Engineering showed that: the factor that had the most influence on the capacity of the Faculty of Engineering Rajamangala University of Technology Phra Nakhon was the factor of knowledge and attitudes (the mean was 3.61 which stood at the level of comments very); regarding the level of comments this was followed by the factor that had influence on the capacity of the Faculty of Engineering in terms of the environment in the organization (the overall mean was 3.49 which stood at the level of comments moderate); the factor that had influence on the capacity of the Faculty of Engineering in terms of participation came in the last place (the mean was 3.41 which stood at the level of comments moderate). The basics results obtained from this research work will be partly used as an approach to help improve the processes of the Faculty of Engineering. This will support stepping into becoming a digital university in the future.

The objectives of this research are to propose an approate and efficient model for analyzing rice corn and sugar yields data. A linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) was adopted. The results show that for rice yields if the amount of rainfall in a harvest season increases 1 mm the yields will decease by 25.74 tons. if the temperature in the harvest season increases 1 Celsius the yields will decease by 212.60 tons and according to the trend the yield will increase by 15.80 tons each year. For sugar cane yields if the amount of rainfall in the harvest season increases 1 mm the yields will decease by 51.35 tons. if the temperature in the harvest season increase 1 Celsius the yields will incease by 121.30 tons and according to the trend the yield will increase by 29.93.80 tons each year. For corn yield if the amount of rainfall in the havest season increases 1 mm the yields will incease by 73.45 tons. if the temperature in he havest season increases 1 celsius the yields will decease by 40.44 tons and according to the trend the yield will increase by 1.74 tons each year.

This research aims to apply the principle of stochastic process for modeling. The parameters are estimated using Bayesian methods. The monthly average real price of paddy rice 15% and yield of paddy rice in Thailand were studied. The price and the yield of paddy rice which are time series data consisting of four components autocorrelation an exponential cumulative distribution function for trend outliers and two different types of seasons: the dummy seasons and Fourier function seasons. Writing algorithms programming in OpenBUGS and evaluating the performance of models from simulation programming in R were conducted. After that Bayesian methods with dummy seasons and Fourier function season were compared using RMSE MSE and MAE as the criteria. The results show that the Bayesian model with an exponential cumulative distribution function for trend and dummy seasons give the lowest RMSE MSE and MAE for both model fitting and model validating.