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Research on "Estimation of Confidence Interval on the Continuous Time Parameter" aims to know the distribution of the parameter on the continuous time especially using structural equation model and the shortest of the confidence interval length. CT model is important to solve some problem on the time series data or some longitudinal data because this method can analyze incomplete data. Beside that CT model can estimate the parameter with other time interval. Due to the importance of the CT model, this article analyzes the estimation of confidence interval for knowing the distribution of the parameter; it is used to test the hypothesis of the significance parameter likely on the regression model. The data that are used are the assessment of mathematic and the experience of the teacher from Trends International Mathematics and Science Study (TIMSS) since 1995 until 2011.

Estimation of Confidence Interval on the Continuous Time Parameter using Bootstrap