Nur Anisah Mohamed Rahman

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• Doctor of Philosophy
• Senior Lecturer at University of Malaya

The restricted intracranial volume in syndromic craniosynostosis is due to limited skull expansion caused by early fusion of multiple cranial sutures. This led to progressive increased in intracranial pressure which has long been established as the cause of optic nerve damage. Optic nerve damage secondary to the narrowing of optic canal in syndromi...

Sustainable construction and demolition waste management relies heavily on the attitudes and actions of its constituents; nevertheless, deep analysis for introducing the best estimator is rarely attained. The main objective of this study is to perform a comparison analysis among different approaches of Structural Equation Modeling (SEM) in Construc...

Determining the predictor variables that have a non-linear effect as well as those that have a linear effect on the response variable is crucial in additive semi-parametric models. This issue has been extensively investigated by many researchers in the area of semi-parametric linear additive models, and various separation methods are proposed by th...

This article describes a new form of an anticipated backward stochastic differential equation (BSDE) with a time-delayed generator driven by fractional Brownian motion, further known as fractional BSDE, with a Hurst parameter H∈(1/2,1). This study expands upon the findings of the anticipated BSDE by considering the scenario when the driver is fract...

The restricted intracranial volume in syndromic craniosynostosis is due to limited skull expansion caused by early fusion of multiple cranial sutures. This led to progressive increased in intracranial pressure which has long been established as the cause of optic nerve damage. Optic nerve damage secondary to the narrowing of optic canal in syndromi...

The analysis of the high-dimensional dataset when the number of explanatory variables is greater than the observations using classical regression approaches is not applicable and the results may be misleading. In this research, we proposed to analyze such data by introducing modern and up-to-date techniques such as support vector regression, symmet...

This paper discusses a new type of anticipated backward stochastic differential equation with a time-delayed generator (DABSDEs, for short) driven by fractional Brownian motion, also known as fractional BSDEs, with Hurst parameter $H\in(1/2,1)$, which extends the results of the anticipated backward stochastic differential equation to the case of th...

Introduction Depression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions. Methods Regression, Analysis of Variance (ANOVA), and in the last two decades Structural Equ...

In this paper, we discuss a new type of mean-field anticipated backward stochastic differential equation with a time-delayed generator (MF-DABSDEs) which extends the results of the anticipated backward stochastic differential equation to the case of mean-field limits, and in which the generator considers not only the present and future times but al...

In this paper, we focus on a family of backward stochastic differential equations (BSDEs) with subdifferential operators that are driven by infinite-dimensional martingales. We shall show that the solution to such infinite-dimensional BSDEs exists and is unique. The existence and uniqueness of the solution are established using Yosida approximation...

Modelling the seismicity data is very challenging, hence, the assumptions about the distribution of earthquake numbers play an important role in seismic hazard. Over the year, the Poisson distribution has been the most popular distribution for modelling earthquake data due to its simplicity and easy to use. The Poisson distribution, however, appear...

In many applications, indexing of high-dimensional data has become increasingly important. High-dimensional data is characterized by multiple dimensions. There can be thousands, if not millions, of dimensions in applications. Classic methods cannot analyse this kind of data set. So, we need the appropriate alternative methods to analyse them. In hi...

In this paper, we propose a new estimation method in estimating optimal dynamic treatment regimes. The quadratic inference functions in myopic regret-regression (QIF-MRr) can be used to estimate the parameters of the mean response at each visit, conditional on previous states and actions. Singularity issues may arise during computation when estimat...

This research investigates the factors that affect the existence of pinholes in surgical gloves during the manufacturing process. Since eight factors affect the existence of pinholes in surgical gloves, a two-level fractional factorial design 28-4 was used to study the main effects and the first-order interactions of the multiple variables. Multipl...

Low Earth Orbit is becoming crowded with satellites. Updating estimates of collision probabilities is important as new deployments are authorised but is difficult because only limited information is given. This report investigates developing analytic estimates of collision probabilities. A survey of approaches reported in the literature is carried...

This study is to investigate the impact of geoeffective solar events and geomagnetic storms on the occurrences of earthquakes from 1994 to 2017 in a statistical perspective where the data for the geomagnetic A p index and shallow worldwide earthquakes were used. The A p index is obtained from the Helmholtz-Centre Postdam-GFZ German Research Centre...

Geoeffective solar events, especially the coronal mass ejection (CME) and the high-speed solar wind (HSSW) will induce geomagnetic storm upon its arrival to Earth. The solar events could trigger an earthquake occurred during the arrival. In this study, the focus is on the proxy of the geoeffective solar events, which is the geomagnetic Ap index and...

The exposed environment of the cut slope due to insufficient coverage and changes in soil properties is greatly accelerating the occurrence of soil erosion. While revegetation is an alternative tool to mitigate soil erosion and provide a long-term solution for slope stability problems; the integration of vegetation and soil properties into slope er...

In classical regression analysis, the ordinary least-squares estimation is the best estimation if the essential assumptions are satisfied. However, if the data does not satisfy some of these assumptions, then results can be misleading. Especially, outliers violate the assumption of normally distributed residuals in the least-squares regression. Rob...

Knee sleeves are often prescribed to alleviate pain in people with early knee osteoarthritis. However, the biomechanics underlying their pain-relieving effect are still not well understood. This pre–post study aims at evaluating and comparing the effects of two different types of knee sleeves on knee adduction moment. Patients with clinically diagn...

We consider the problem of outlier detection method in 2×2 crossover design via Bayesian framework. We study the problem of outlier detection in bivariate data fitted using generalized linear model in Bayesian framework used by Nawama. We adapt their work into a 2×2 crossover design. In Bayesian framework, we assume that the random subject effect a...

Executive Summary This report looks at the relationships between the North Atlantic Oscillation (NAO), extreme weather events in the UK and the insurance claims of AVIVA, as a step toward the provision of monthly/seasonal outlooks relevant to the home insurance industry. It makes use of various climate datasets which are available on-line, and clai...

Structural Equation Modeling (SEM) has been used extensively in sustainability studies to model relationships among latent and manifest variables. This paper provides a tutorial exposition of the SEM approach in food security studies and introduces a basic framework based on family food security and children’s environment sustainability. This frame...