RSS 1.0Department of Statistics
Browse by
Sub-communities within this community
-
Applied Statistics [44]
สาขาวิชาสถิติประยุกต์ -
Statistics [0]
ภาควิชาสถิติ
Recent Submissions
-
three-stage portfolio management
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 29/11/2019)This research proposes a three-stage approach for the management of a stock portfolio. In the first stage, stocks are selected based on the DEA concept. Three selection strategies, DEA, Super-efficiency and DEA Cross-efficiency ... -
A comparison of missing data imputation methods in within-subject repeated measure design
Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์Type: Thesis(Silpakorn University, 12/6/2020)Within-subject repeated measure design is an experimental design which has the characteristic of collecting data from the same sample unit at different times or other conditions. It is popular in medical or public health ... -
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 ... -
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, ...