Search Results - "Ibrahim, Noor Akma"
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Temporal and spatial mapping of hand, foot and mouth disease in Sarawak, Malaysia
Published in Geospatial health (01-05-2014)“…Hand, foot and mouth disease (HFMD) is endemic in Sarawak, Malaysia. In this study, a geographical information system (GIS) was used to investigate the…”
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2
The Heavy-Tailed Exponential Distribution: Risk Measures, Estimation, and Application to Actuarial Data
Published in Mathematics (Basel) (01-08-2020)“…Modeling insurance data using heavy-tailed distributions is of great interest for actuaries. Probability distributions present a description of risk exposure,…”
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3
The Marshall-Olkin Odd Burr III-G Family: Theory, Estimation, and Engineering Applications
Published in IEEE access (01-01-2021)“…We propose a new flexible class called the Marshall-Olkin odd Burr III family for generating continuous distributions and derive some of its statistical…”
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A New Extended Two-Parameter Distribution: Properties, Estimation Methods, and Applications in Medicine and Geology
Published in Mathematics (Basel) (01-09-2020)“…In this paper, a new two-parameter generalized Ramos–Louzada distribution is proposed. The proposed model provides more flexibility in modeling data with…”
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Review of air pollution and health impacts in Malaysia
Published in Environmental research (01-06-2003)“…In the early days of abundant resources and minimal development pressures, little attention was paid to growing environmental concerns in Malaysia. The haze…”
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New extension of Burr type X distribution properties with application
Published in Journal of King Saud University. Science (01-10-2018)“…We introduce a new distribution named Exponentiated Generalized Burr type X (EGBX) distribution with four parameters. This new model can be expressed as a…”
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Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals
Published in PloS one (16-08-2017)“…Modified Mini-Mental State Examination (3MS) is an instrument administered by trained personnel to examine levels of participants' cognitive function. However,…”
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Approximate confidence interval for the new extreme value distribution
Published in Engineering computations (01-01-2006)“…Purpose - Exact confidence interval estimation for the new extreme value model is often impractical. This paper seeks to evaluate the accuracy of approximate…”
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9
Nonparametric versus Parametric Estimation of the Cure Fraction Using Interval Censored Data
Published in Communications in statistics. Theory and methods (01-12-2012)“…This article discusses estimation of the cure rate by means of the bounded cumulative hazard (BCH) model using interval censored data. The parametric and…”
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Parametric Tests for Partly Interval-censored Failure Time Data under Weibull Distribution via Multiple Imputation
Published in Journal of applied sciences (Asian Network for Scientific Information) (2013)“…The statistical problem considered in this article is the parametric treatment comparison when partly interval-censored failure time data exist. Partly…”
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11
Effect of Adaptive Cluster Sampling Design on Accuracy of Sediment Rating Curve Estimation
Published in Journal of hydrologic engineering (01-02-2010)“…Adaptive cluster sampling represents a design whereby more samples during high storm hydrographs can be obtained in the field compared to the commonly used…”
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12
The beta Burr type X distribution properties with application
Published in SpringerPlus (20-05-2016)“…We develop a new continuous distribution called the beta-Burr type X distribution that extends the Burr type X distribution. The properties provide a…”
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13
Variations and Determinants of Anemia among Reproductive Age Women in Five Sub-Saharan Africa Countries
Published in BioMed research international (05-08-2021)“…Background. The Ghana Demographic and Health Survey 2014 report indicates that anemia among women in their reproductive age in the country stood at 42 percent,…”
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14
An application of a new extreme value distribution to air pollution data
Published in Management of environmental quality (01-01-2005)“…Purpose - Extreme value model is one of the most important models that are applicable in air pollution data. This paper aims at introducing a new model of…”
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15
Generating correlated discrete ordinal data using R and SAS IML
Published in Computer methods and programs in biomedicine (01-12-2011)“…Abstract Correlated ordinal data are common in many areas of research. The data may arise from longitudinal studies in biology, medical, or clinical fields…”
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16
Bayesian statistical inference of the loglogistic model with interval-censored lifetime data
Published in Journal of statistical computation and simulation (24-05-2015)“…Interval-censored data arise when a failure time say, T cannot be observed directly but can only be determined to lie in an interval obtained from a series of…”
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17
Claim Dependence Induced by Common Effects in Hierarchical Credibility Models
Published in Communications in statistics. Theory and methods (17-09-2013)“…In the usual credibility model, observations are made of a risk or group of risks selected from a population, and claims are assumed to be independent among…”
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18
Semiparametric Estimation with Profile Algorithm for Longitudinal Binary Data
Published in Communications in statistics. Simulation and computation (01-01-2013)“…This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and…”
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Bayesian Inference of the Weibull Model Based on Interval-Censored Survival Data
Published in Computational and mathematical methods in medicine (01-01-2013)“…Interval-censored data consist of adjacent inspection times that surround an unknown failure time. We have in this paper reviewed the classical approach which…”
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Cure Rate Models: A Review of Recent Progress with a Study of Change-point Cure Models when Cured is Partially Known
Published in Journal of applied sciences (Asian Network for Scientific Information) (01-01-2014)“…In medicine and public health researches, survival cure models are widely used, to analyse time-to-event data in which some subjects are reasonably believed to…”
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