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Another common approach is to run the HMM learning multiple times with varying state numbers and identify the best fitting model using measures such as the Bayesian Information Criterion.
The principled way to assess different observation model assumption is to do so within the context of the HMM model, using measures such as the Bayesian model evidence, or cross validation.
This approach assumes that economic status is an unobserved latent variable and is estimated by a random-effects probit model using measures of household ownership of assets (e.g. refrigerator, radio, car, etc)., access to services (e.g. drinking water), and known predictors of income (e.g. age and education).
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We find that Xdisp orders have a total of 9% as much flux as the primary order, vs. the 11% that would be expected based on a simple model using measured support-structure parameters.
A frequent requirement in computer aided design and manufacture is to update or refine an existing CAD model using measured data.
A regression model using measured COF as the dependent variable and tread groove width, groove orientation, footwear material, floor, and contamination conditions as independent variables was established.
Third, a quasi-linear method is applied to a 1/2 car model, using measured data of a typical hydraulic engine mount, to see the effect of excitation amplitude-dependent dynamic stiffnesses.
A more effective way is to choose a typical indoor scenario (primary scenario), calibrate the model using measured data to obtain a "universal" set of materials as a result of optimisation process.
However, by constraining the model using measured NO X concentrations, and effectively isolating the chemical scheme we have shown the model to be able to predict the hourly NO2 very well close to roads, despite its simplicity.
Analysis of the probe signals in terms of this model enables us to define unbiased (in the frame of the hybridization model used) measures of RNA integrity.
Logistic regression was conducted to examine whether sex and migration were independently associated with HIV infection in three additive effects models, using measures of recent migration, household presence and migration frequency.
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