Interval estimation of the concentration parameter and missing value imputation in the von mises distribution / Nor Hafizah Moslim

QR Code

Interval estimation of the concentration parameter and missing value imputation in the von mises distribution / Nor Hafizah Moslim

This study focuses on the construction of confidence interval for parameters and analysis of missing values for circular variables. The scope of the study is the von Mises distribution where it is also known as circular normal distribution. It is worthwhile to note that statistical theories for s...

Full description

Bibliographic Details
Main Author:	Nor Hafizah , Moslim
Format:	Thesis
Published:	2022
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://studentsrepo.um.edu.my/14395/ http://studentsrepo.um.edu.my/14395/1/Nor_Hafizah.pdf http://studentsrepo.um.edu.my/14395/2/Nor_Hafizah.pdf

Similar Items

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

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)

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)

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)

Imputing missing values in modelling the PM10 concentrations
by: Nuradhiathy Abd Razak,, et al.
Published: (2014)

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)

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)

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)

Nonparametric estimate based on imputations techniques for interval and partly interval censored data
by: Zyoud, Abdallah, et al.
Published: (2016)

An Evaluation of Machine Learning Algorithms for Missing Values Imputation
by: Kohbalan, Moorthy, et al.
Published: (2019)

Missing values imputation tool using imputex algorithm
by: Sidi, Fatimah, et al.
Published: (2024)

Missing variability in meta-analysis : is imputing always good?
by: Nik Idris, Nik Ruzni, et al.
Published: (2006)

Estimation of Missing Rainfall Data Using Spatial Interpolation and Imputation Methods
by: Roslinazairimah, Zakaria, et al.
Published: (2015)

ExtraImpute: a novel machine learning method for missing data imputation
by: Alabadla, Mustafa, et al.
Published: (2022)

Performance analysis of machine learning algorithms for missing value imputation
by: Zainal Abidin, Nadzurah, et al.
Published: (2018)

Systematic review of using machine learning in imputing missing values
by: Alabadla, Mustafa, et al.
Published: (2022)

Missing-values imputation algorithms for microarray gene expression data
by: Moorthy, Kohbalan, et al.
Published: (2019)

Artificial neural network forecasting performance with missing value imputations
by: Abd Rahman, Nur Haizum, et al.
Published: (2020)

Systematic review of using machine learning in imputing missing values
by: Alabadla, Mustafa, et al.
Published: (2022)

The effects of imputing the missing standard deviations on the standard error of meta analysis estimates
by: Nik Idris, Nik Ruzni, et al.
Published: (2009)

Performance of selected imputation techniques for missing variances in meta-analysis
by: Nik Idris, Nik Ruzni, et al.
Published: (2012)

Performance of selected imputation techniques for missing variances in meta-analysis
by: Nik Idris, Nik Ruzni, et al.
Published: (2013)

Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)

Antibacterial and antioxidant properties of bioactive extracts and peptides from Morinda Citrifolia, Annona Squamosa, Alstonia Angustiloba and lactic acid bacteria / Abdulmuhsin Moslim Shami
by: Shami, Abdulmuhsin Moslim
Published: (2014)

Filling the gaps: Imputation of missing metrics’ values in a software quality model
by: Kupinski, S., et al.
Published: (2017)

Imputation techniques for incomplete load data based on seasonality and orientation of the missing values
by: Nur Arina Bazilah Kamisan,, et al.
Published: (2020)

A comparison of various imputation methods for missing values in air quality data
by: Nuryazmin Ahmat Zainuri,, et al.
Published: (2015)

Trust score measurement method for web donor selection and imputation of missing values
by: Jaya, M. Izham, et al.
Published: (2021)

Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model
by: Mohd Jaya, Mohd Izham, et al.
Published: (2019)

Intelligent imputation method for mix data-type missing values to improve data quality
by: Alabadla, Mustafa R. A.
Published: (2024)

River flow and stage estimation with missing observation data using Multi Imputation Particle Filter (MIPF) method
by: Ismail, Z. H., et al.
Published: (2020)

Determination of the best single imputation algorithm for missing rainfall data treatment
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016)

Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016)

Robust Random Regression Imputation method for missing data in the presence of outliers
by: John, Ahamefule Happy
Published: (2013)

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)

Parametric model based on imputations techniques for partly interval censored data
by: Zyoud, Abdallah, et al.
Published: (2017)

Traditional and electronic poster in conference presentation / Nor Hafizah Rosli
by: Rosli, Nor Hafizah
Published: (2014)

A case study on the effect of imputing the missing variability measures in meta analysis
by: Nik Idris, Nik Ruzni
Published: (2007)

A systematic review of recurrent neural network adoption in missing data imputation
by: Nur Aqilah, Fadzil Akbar, et al.
Published: (2025)