A comparison of asymptotic and bootstrapping approach in constructing confidence interval of the concentration parameter in von mises distribution
Bootstrap is a resampling procedure for estimating the distributions of statistics based on independent observations. Basically, bootstrapping has been established for the use of parameter estimation of linear data. Thus, the used of bootstrap in confidence interval of the concentration parameter, κ...
Main Authors: | Nor Hafizah Moslim, Yong Zulina Zubairi, Abdul Ghapor Hussin, Siti Fatimah Hassan, Nurkhairany Amyra Mokhtar |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2019
|
Online Access: | http://journalarticle.ukm.my/13637/ http://journalarticle.ukm.my/13637/ http://journalarticle.ukm.my/13637/1/24%20Nor%20Hafizah%20Moslim.pdf |
Similar Items
-
On the approximation of the concentration parameter for von Mises distribution
by: Nor Hafizah, Moslim, et al.
Published: (2017) -
Estimation of concentration parameter for simultaneous circular functional relationship model assuming unequal error variance
by: Nurkhairany Amyra Mokhtar,, et al.
Published: (2017) -
Pengujian kesesuaian taburan normal berdasarkan statistik cramer-von mises = Test of suitability of normal distribution based on cramer-von mises statistics
by: Ani Shabri,, et al.
Published: (2007) -
A New Efficient Approximation for Concentration Parameter of Circular Data
by: Siti Zanariah, Satari, et al.
Published: (2015) -
Confidence interval for survival model based on partly interval-censored data
by: Zainudin, Norazelah, et al.
Published: (2015)