The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 29-398
Full Name: Norazan Mohamed Ramli
Position: Lecturer
Age: ON
Sex: Female
Address: Faculty of Computer and Mathematical Sciences, University Technology MARA, 40450 Shah Alam, Selangor
Country: MALAYSIA
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E-mail address: norazan@tmsk.uitm.edu.my
Other E-mails: norazan_1004@gmail.com
Title of the Paper: Estimating Regression Coefficients using Weighted Bootstrap with Probability
Authors as they appear in the Paper: Norazan M. R., Habshah Midi and A. H. M. R. Imon
Email addresses of all the authors: norazan@tmsk.uitm.edu.my, habshahmidi@gmail.com, imon_ru@yahoo.com
Number of paper pages: 10
Abstract: In this paper we propose a new Weighted Bootstrap with Probability (WBP). The basic idea of the proposed bootstrap technique is to do re-sampling with probabilities. These probabilities become the control mechanism for getting good estimates when the original data set contain multiple outliers. Numerical examples and simulation study are carried out to evaluate the performance of the WBP estimates as compared to the Bootstrap 1 and Diagnostic-Before Bootstrap estimates. The results of the study signify that the WBP method is more efficient than the other two methods.
Keywords: Regression, Outliers, Weighted Bootstrap with Probability, Weighting Function
EXTENSION of the file: .doc
Special (Invited) Session: Weighted Bootstrap with Probability in Regression
Organizer of the Session: 613-242
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IP ADDRESS: 118.100.199.62
