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statistical modelling » statistical modeling (Expand Search), statistical models (Expand Search), statistical sampling (Expand Search)
modelling theory » model theory (Expand Search), coding theory (Expand Search), modelling tools (Expand Search)
statistical modelling » statistical modeling (Expand Search), statistical models (Expand Search), statistical sampling (Expand Search)
modelling theory » model theory (Expand Search), coding theory (Expand Search), modelling tools (Expand Search)
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Statistics and Probability Theory : In Pursuit of Engineering Decision Support /
Published [201“…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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software, multimedia -
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Multiscale approach to nematic liquid crystals via statistical field theory
Published 2018“…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. …”
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Journal Article -
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Inference for autoregressive and moving average models with extreme value distribution via simulation study
Published 2015“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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Thesis -
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3D reconstruction of building models based on 2D floorplans using statistical analysis
Published 2024Get full text
Conference or Workshop Item -
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A reformulation of additive models
Published 2022“…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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Thesis-Doctor of Philosophy -
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Racial discrimination against prospective tenants : evidence from the room rental market in Singapore
Published 2020Get full text
Final Year Project (FYP) -
8
Hedonic regression model : influence of housing characteristics and housing lease on HDB's resale price
Published 2021Get full text
Final Year Project (FYP) -
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Combating China’s corruption through learning from Taobao’s business model.
Published 2013Get full text
Final Year Project (FYP) -
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Forecasting Singapore’s pharmaceutical industry using time series models.
Published 2010Get full text
Final Year Project (FYP) -
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The application of prospect theory in travel choice behavioral analysis
Published 2012“…The most widely used and accepted model for predicting and analysing of travel behaviour would be the Utility Theory. …”
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Final Year Project (FYP) -
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Refining learning models in grammatical inference
Published 2008“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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Thesis -
17
Questionnaire data analysis using information geometry
Published 2021“…The SM has deep connections with parametric statistical models and the theory of phase transitions in statistical physics. …”
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Journal Article -
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Reliability analysis and data driven modelling of railway component failure
Published 2022“…Such statistical models are under some distribution assumptions which may not be fully satisfied in practice, but the models can be fitted with limited data samples and their interpretabilities are high. …”
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Thesis-Doctor of Philosophy -
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Factors Influencing Students Intention to Choose Career of Halal Food Industry in Malaysia using Theory of Planned Behavior
Published 2021“…Next, the value of R-squared for model fit in this study is 0.675 that indicates a good model fit that explained 67.5% of variance in dependent variable. …”
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Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs)
Published 2021“…In order to connect this experimentally inaccessible parameter with model, the parameter was extracted from optimization through series layers model and fed into a backpropagation neural networks with various experimentally-accessible real time parameters. …”
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Thesis-Doctor of Philosophy