A comparison of asymptotic and bootstrapping approach in constructing confidence interval of the concentration parameter in von mises distribution

QR Code

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...

Full description

Bibliographic Details
Main Authors:	Nor Hafizah, Moslim, Yong Zulina, Zubairi, Abdul Ghapor, Hussin, Siti Fatimah, Hassan, Nurkhairany Amyra, Mokhtar
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2019
Subjects:	QA Mathematics TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27585/ http://umpir.ump.edu.my/id/eprint/27585/1/A%20comparison%20of%20asymptotic%20and%20bootstrapping%20approach%20in%20constructing.pdf

Similar Items

A comparison of asymptotic and bootstrapping approach in constructing confidence interval of the concentration parameter in von mises distribution
by: Nor Hafizah Moslim,, et al.
Published: (2019)

On the approximation of the concentration parameter for von Mises distribution
by: Nor Hafizah, Moslim, et al.
Published: (2017)

Understanding the behaviour of wind direction in Malaysia during monsoon seasons using replicated functional relationship in von Mises distribution
by: Nor Hafizah Moslim,, et al.
Published: (2021)

Interval estimation of the concentration parameter and missing value imputation in the von mises distribution / Nor Hafizah Moslim
by: Nor Hafizah , Moslim
Published: (2022)

Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
by: Hassan, Siti Fatimah
Published: (2015)

Confidence interval for parameters estimates in circular simultaneous functional relationship model (CSFRM) for equal variances using normal asymptotic and bootstrap confidence intervals
by: Fatin Najihah Badarisam,, et al.
Published: (2022)

Estimation of concentration parameter for simultaneous circular functional relationship model assuming unequal error variance
by: Nurkhairany Amyra Mokhtar,, et al.
Published: (2017)

Comparison of Monte Carlo and bootstrap analyses for residual life and confidence interval
by: Husnain, M.M.N., et al.
Published: (2023)

Bootstrap Confidence Interval for Robust Cpk Index
by: Midi, Habshah, et al.
Published: (2008)

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)

Double bootstrap confidence interval estimates with censored and truncated data
by: Arasan, Jayanthi, et al.
Published: (2014)

Bootstrap confidence intervals for the mode of log-logistic hazard function
by: Hasan, Siti Normah
Published: (2009)

Test of suitability of normal distribution based on Cramer-von Mises statistics
by: Shabri, Ani Bin, et al.
Published: (2007)

Pengujian kesesuaian taburan normal berdasarkan statistik cramer-von mises
by: Shabri, Ani, et al.
Published: (2007)

Performance Of Bootstrap Confidence Intervals Of Cpk Index Based On Mm•Estimator
by: Mohamad@Sulaiman, Hanissah
Published: (2002)

The Performance of Bootstrap Confidence Intervals of Cрк Index Based on Mm-Estimator
by: Mohamad @ Sulaiman, Hanissah
Published: (2002)

Bootstrap methods for estimating the confidence interval for the parameter of the zero-truncated Poisson-Sujatha distribution and their applications
by: Wararit Panichkitkosolkul,
Published: (2023)

Bootstrapping the confidence intervals of R2MAD for samples from contaminated standard logistic distribution
by: Maarof, Fauziah, et al.
Published: (2010)

Confidence trick: the interpretation of confidence intervals
by: Foster, Colin
Published: (2014)

Parametric bootstrap confidence interval estimation for the percentile and difference between the percentiles of delta-lognormal distributions with application to rainfall data in Thailand
by: Warisa Thangjai,, et al.
Published: (2023)

A New Efficient Approximation for Concentration Parameter of Circular Data
by: Siti Zanariah, Satari, et al.
Published: (2015)

Statistical modeling of gold price data using generalized extreme value distribution: an inference based on parametric and nonparametric bootstrap confidence interval
by: Ali, Norhaslinda, et al.
Published: (2024)

Effects of different fluting medium geometries on von-mises stress and deformation in single fluted board: a three-dimensional finite element analysis
by: Mohd Basri, Mohd Salahuddin, et al.
Published: (2021)

Identifying multiple outliers in linear functional relationship model using a robust clustering method
by: Adilah Abdul Ghapor,, et al.
Published: (2023)

Confidence intervals for multivariate value at risk
by: Goh, Y. L., et al.
Published: (2012)

Confidence Intervals for Parallel Systems with Covariates
by: Baklizi, Ayman, et al.
Published: (1997)

Performance analysis of bootstrap transimpedance amplifier for large windows optical wireless receiver
by: Idrus Sutan Nameh, Sevia Mahdaliza, et al.
Published: (2006)

Confidence interval for survival model based on partly interval-censored data
by: Zainudin, Norazelah, et al.
Published: (2015)

Modelling wind speed data in Pulau Langkawi with functional relationship
by: Nur Ain Al-Hameefatul Jamaliyatul,, et al.
Published: (2023)

Optical receiver bandwidth enhancement using bootstrap transimpedance amplification technique
by: Rais, Siti Sara
Published: (2006)

Application of asymptotic expansion homogenization for vascularized poroelastic brain tissue
by: Abbas, Shabudin, et al.
Published: (2018)

Fatigue crack growth analysis using the bootstrap s-version finite element model
by: Muhamad Husnain, Mohd Noh
Published: (2020)

Confidence intervals in survival analysis / Tan Shay Kee
by: Tan, Shay Kee
Published: (2010)

Bandwidth Analysis of Bootstrap Transimpedance Amplifier for Optical Free Space Receiver
by: Idrus, S. M., et al.
Published: (2008)

Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution
by: Thirunanthini Manoharan,, et al.
Published: (2017)

Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution
by: Manoharan, Thirunanthini, et al.
Published: (2017)

Bootstrap based diagnostics for survival regression model with interval and right-censored data
by: Arasan, Jayanthi, et al.
Published: (2022)

Biometric hash: high-confidence face recognition
by: Ngo, D.C.L., et al.
Published: (2006)

Bootstrap-based model selection in subset polynomial regression
by: Suparman, S., et al.
Published: (2018)

Feasibility Of Bootstrap Aggregating Fusion Method To Enhance Extreme Learning Machine For Reference Evapotranspiration Estimation
by: Lai, Lik Sheng
Published: (2020)