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Response surface methodology was used for statistical modeling and optimization of the applied separation processes.
Parameterization is the transformation of an input signal into a set of feature vectors which are less redundant and more suitable for statistical modeling than the input signal.
Additionally, building characteristics show high correlations with the examined grid performance indicators, revealing promising potential for statistical modeling of the studied indicators.
The central composite experimental design and response surface methodology have been employed for statistical modeling and analysis of the results dealing with nickel electroplating process.
Therefore, we employ a heteroscedastic model called two-dimensional generalized autoregressive conditional heteroscedastic (2-D garch) for statistical modeling of these distributions.
Response surface methodology (RS M was employed for statistical modeling and optimization of organosolv ethanol-alkali delignification using 24 central composite rotatable design (CCRD).
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We created our summary statistic using principles laid out in the Standards for Statistical Models used for Public Reporting of Health Outcomes.
Similarly, the DCMS said it uses postcode information for statistical modelling in the random selection of households for its annual Taking Part Survey.
The Department for Work and Pensions (DWP) has revealed that it uses postcodes held on its systems for work allocation, contacting customers, research, matching records and providing "specific local payments", while the Department for Culture, Media and Sport (DCMS) uses the data for statistical modelling and for the random selection of households.
We introduce an omnibus goodness-of-fit test for statistical models for the conditional distribution of a random variable.
The construction above tells us that such contextual hidden variables will be available for statistical models quite generally.
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