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Dive into the research topics where Noor Akma Ibrahim is active.

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Featured researches published by Noor Akma Ibrahim.


INNOVATIONS THROUGH MATHEMATICAL AND STATISTICAL RESEARCH: Proceedings of the 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016) | 2016

Rank-based inference for the accelerated failure time model in the presence of interval censored data

Mostafa Karimi; Noor Akma Ibrahim; Mohd Rizam Abu Bakar; Jayanthi Arasan

Semiparametric analysis and rank-based inference for the accelerated failure time model are complicated in the presence of interval censored data. The main difficulty with the existing rank-based methods is that they involve estimating functions with the possibility of multiple roots. In this paper a class of asymptotically normal rank estimators is developed which can be aquired via linear programming for estimating the parameters of the model, and a two-step iterative algorithm is introduce for solving the estimating equations. The proposed inference procedures are assessed through a real example.


THE 22ND NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM22): Strengthening Research and Collaboration of Mathematical Sciences in Malaysia | 2015

Semiparametric binary model for clustered survival data

Rifina Arlin; Noor Akma Ibrahim; Jayanthi Arasan; Rizam Abu Bakar

This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the derivation of the estimating equation for the parametric and nonparametric components of a semiparametric binary covariate model. The properties of the estimates for both are evaluated using simulation studies. We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. The effect of the number of clusters and cluster size are also discussed. Results show that the GEE-SS are consistent and efficient for parametric component and nonparametric component of semiparametric binary covariates.


World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering | 2008

Decision Tree for Competing Risks Survival Probability in Breast Cancer Study

Noor Akma Ibrahim; Abdul Kudus; Isa Daud; M. R. Abu Bakar


Archive | 2009

Bayesian Approach for Joint Longitudinal and Time-to-Event Data with Survival Fraction

Malaysian Mathematical; Mohd Rizam; Abu Bakar; Khalid A. Salah; Noor Akma Ibrahim; Kassim Haron


Archive | 2015

Greeks and partial differential equations for some pricing currency options models

Foad Shokrollahi; Adem Kilicman; Noor Akma Ibrahim; Fudziah Ismail


Archive | 2010

Behavior stability in two SIR-style models for HIV

Sarkhosh Seddighi Chaharborj; Mohd Rizam Abu Bakar; Fudziah Ismail; Noor Akma Ibrahim; Malik Abu Hassan; V. Alli


Archive | 2013

Trend Surface Analysis of Hand, Foot and Mouth Disease in Sarawak

Noraishah Mohd. Idris; Isthrinayagy Krishnarajah; Noor Akma Ibrahim; Munn Sann Lye


Archive | 2011

Non-parametric estimation of cure fraction using right censored data.

Bader Ahnad I. Aljawadi; Mohd Rizam Abu Bakar; Noor Akma Ibrahim


Archive | 2008

Deterministic Models in Dengue Transmission Dynamics

Mohd Rizam Abu Bakar; Salisu Garba Mohammed; Noor Akma Ibrahim; Mansor Monsi


Jurnal Teknologi | 2006

Estimating a Logistic Weibull Mixture Models with Long–Term Survivors

Mohd Rizam Abu Bakar; Isa Daud; Noor Akma Ibrahim; Desi Rahmatina

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Isa Daud

Universiti Putra Malaysia

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Mohd Rizam

Universiti Putra Malaysia

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Fauziah Maarof

Universiti Putra Malaysia

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Jayanthi Arasan

Universiti Putra Malaysia

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Kassim Haron

Universiti Putra Malaysia

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Akhmad Fauzy

State University of Malang

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Fudziah Ismail

Universiti Putra Malaysia

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