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Applied Statistics [44]
สาขาวิชาสถิติประยุกต์ -
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ภาควิชาสถิติ
Recent Submissions
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Efficient Comparison of Inference Methods in Logistic Regression Model
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 12/7/2019)Logistic regression model is used to explain the relationship between explanatory variables and categorical response variable in many research fields. The maximum likelihood (ML) was generally used to estimate parameters, ... -
Estimation of a Missing Value in Nested Balanced Incomplete Block Design based on Harmonised series
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 12/7/2019)The objective of this research is to purpose a method for estimation of a missing value in a Nested Balanced Incomplete Block Designs (NBIBD) by applying method of Cornish purposed in 1940 for BIBD. The proposed method was ... -
The Modified Concordance Correlation Coefficient Estimators
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 12/7/2019)This research proposed the modified concordance correlation coefficient estimators by using the alternative Pearson correlation coefficient estimators that are improved in terms of bias; (1) Olkin and Pratt estimator, ... -
NETWORK ANALYSIS OF RETURNS AND VOLUME TRADING Of THE STOCK IN SET 50
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 12/7/2019)This research proposed 1) to compare the structure of the stocks in SET50 between the distance values based on Escoufier’s RV coefficient and the distance values based on method of symbolization, using Minimum Spanning ... -
Performance comparisons of LASSO methods for parameter estimation in high dimensional linear regression
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 12/7/2019)Penalized linear regression analysis is one of the widely used methods to estimate the parameters in high-dimensional data. The differences of parameters estimation in penalized linear regression are based on the penalty ...