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We attempt this with the model specification tests.
We prove consistency and asymptotic mixed normality of our estimator of the (random) coefficients in the volatility model and further develop model specification tests.
Model fit, goodness-of-fit, and model specification tests showed appropriate results required for model fitting such as p<0.001, p>0.05 and _hatsq p>0.05, respectively.
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A Loss Function Approach to Model Specification Testing and Its Relative Efficiency, with Y. Lee, Annals of Statistics 41 (2013), 1166-1203.
Professor Hong's research interests include model specification testing, nonlinear time series analysis, generalized spectral analysis, econometrics of time-varying models, financial econometrics, interval-valued time series econometrics, and evaluation of Chinese economic policies.
A model specification test was carried out for the OLS regression model using theRamsey RESET test.
Omitting possible influences of the survey sample, it was not possible to split the data for the different stages of model development (i.e. model specification, test of significance) because of the small sample size.
For the model-specification test, the same variables used to predict neutropenic complications in the Silber model were fitted with a logistic regression to our data and the significance was reported.
Our preferred model specification, however, was conservative; multiple alternative modeling specifications tested in sensitivity analyses produced considerably narrower 95% confidence intervals for all analyses.
The publication and citation data gathered for the applicants were analyzed using cycles of model specification, estimation, testing, and evaluation.
When the model specification was tested, first-cycle nadir ANC was the sole significant (P < 0.0001) predictor of neutropenic events and the model had a good predictive power (C = 0.78).
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