Parametric Modelling
Parametric modelling of Oldham coupling
... many modelling software is available in the commercial ...dimensional modelling can easily generate in these kind of software for better imagination, visualization and better understanding; as well as to ...
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Predicting patient survival after deceased donor kidney transplantation using flexible parametric modelling
... flexible parametric models characterise the baseline hazard directly and can therefore provide smooth estimates of the hazard and sur- vival functions for any combination of covariates and can be used to ...
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Parametric Modelling of Flexible Plate Structures Using Ant Colony Optimization
... presents parametric modelling of flexible plate structures using ant colony optimization ...ACO modelling approach will be used for active vibration control systems design and development in future ...
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Generalised linear models for flexible parametric modelling of the hazard function
... Parametric modelling of the hazard function allows for predictions of future outcomes. Standard survival models may be insufficiently flexible to reflect the complexities of observed hazard patterns. The ...
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Parametric modelling of Malaysian teeth template using computer aided design
... Denture is used to replace the damage, lost or removed tooth for human. There are few types of denture which have been classified as removable complete denture or sometime called as full denture, partial denture and over ...
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Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions
... The assumption of proportional hazards is often unrea- sonable in epidemiological studies. It is important to understand the changing effect of a covariate over the time period rather than just assuming a constant ...
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Parametric Modelling of Standard & Modified Spur Gear Using Pro-E & Analysing It by Actual Model
... E parametric drive to forming involute modified spur gear, with the same way to automatically generate model of base circle larger and smaller than root circle, simplify the ...
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A pattern recognition approach to the detection of single trial event related fMRI
... Abstract—Functional magnetic resonance imaging (FMRI) is an imaging technique for determining which regions of the brain are activated in response to a stimulus or event. Early FMRI experiment paradigms were based upon ...
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Approximations for quantiles of life expectancy and annuity values using the parametric improvement rate approach for modelling and projecting mortality
... appropriate parametric predictor ...investigated parametric mortality projection methods based on mortality improvement rates (as opposed to mortality ...direct parametric modelling and ...
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Nonlinear interactions in the thalamocortical loop in essential tremor: A model-based frequency domain analysis.
... For parametric modelling, the original EEG and LFP data were down-sampled to 100Hz to ensure a relative simple but sufficient model to capture the nonlinear dynamics (see the OFRF analysis results ...
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Design And Experimental Testing For A Building Integrated Box Type Solar Cooker
... and parametric modelling of box-type solar cooker [4], the development of a solar device for crop drying and cooking [5], design, development and testing of a double reflector hot box solar cooker with a ...
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Non parametric models in the monitoring of engine performance and condition: Part 1: modelling of non linear engine processes
... In non-parametric modelling we have little a priori knowledge about the form of the true system. The system is still modelled (or it may be better to say typified) using an equation containing free parame- ...
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Modelling and parametric investigation of a large marine two-stroke dual fuel engine
... The percentage errors between the measured and predicted parameters are reported in Table 1. It can be inferred that the simulation results are of acceptable accuracy as the maximum error was around ±4%. Therefore, the ...
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A Bayesian Model of Syntax Directed Tree to String Grammar Induction
... In this work we draw on recent advances in Bayesian modelling of grammar induction (John- son et al., 2007; Cohn et al., 2009) to propose a non-parametric model of synchronous tree substi- tution grammar ...
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MODELLING AND ANALYSIS OF HYDRAULIC CYLINDER USING ANSYS PARAMETRIC DESIGN LANGUAGE: A REVIEW
... In other words, a hydraulic cylinder converts the energy stored in the hydraulic fluid into a force used to move the cylinder in a linear direction.. 2.0 Operation of a Hydraulic Cylind[r] ...
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New product development resource forecasting
... Where linear models fall down with their ridged assumptions, non-linear models are capable of modelling or at least approximating any form of arbitrary distribution, normal or otherwise. Several types of ...
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Reliability assessment of point-absorber wave energy converters
... To the best of the authors' knowledge, the reliability assessment of a point-absorber WEC has not been reported in the literature although reliability has been identified as a key barrier in the further develop- ment of ...
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Modelling via normalisation for parametric and nonparametric inference
... nonparametric modelling consists of proposing a new, general method of constructing models with dependent random distributions for grouped ...for modelling data from two different groups are ...
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Modelling health state preference data using a non-parametric Bayesian method
... the parametric model (2), along with actual mean health state valuations (solid ...the parametric and non-parametric ...The parametric model predicts the observed mean value considerably more ...
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Missing covariate data in parametric survival analysis : modelling the missing data mechanism
... We allow the survival of individual i to depend on the value of the covariate. The choice of a log-normal model for survival times is a sensible choice here as previous evidence suggests that survival in cerebral palsy ...
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