The robust or sandwich estimator is common to estimate the covariance matrix of the estimated regression parameter for generalized estimating equation (GEE) method to analyze longitudinal data. However, the robust estimator would underestimate the variance under a small sample size. We propose an alternative covariance estimator to the robust estimator to improve the small-sample bias in the GE...

We study the relative risk of value and growth stocks. We find that time-varying risk goes in the right direction in explaining the value premium. Value betas tend to covary positively, and growth betas tend to covary negatively with the expected market risk premium. Our inference differs from that of previous studies because we sort betas on the expected market risk premium, instead of on the ...

In distributed and decentralized state estimation systems, fusion methods are employed to systematically combine multiple estimates of the state into a single, more accurate estimate. An often encountered problem in the fusion process relates to unknown common information that is shared by the estimates to be fused and is responsible for correlations. If the correlation structure is unknown to ...

Robust covariance estimates are required in many applications. Here, a promising adaptive robust scale estimator is extended to this problem and compared to other robust estimators. Often the performance analysis of covariance estimators is performed from the perspective of the final application. However, different applications have different requirements, hence we make a comparison based on so...

SITE model was developed to study the response of tropical ecosystems according to environmental conditions for estimating of energy fluxes. This study analyzed the net ecosystem of CO2 exchange (NEE) by ecosystem modeling and field measurements in a semi deciduous forest located at 50 km of Sinop municipal district, Mato Grosso, Brazil. Continuous measurements of canopy CO2 storage and fluxes ...

High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing by Theodoros Tsiligkaridis Chair: Alfred O. Hero III Separable approximations are effective dimensionality reduction techniques for high dimensional data. The statistical estimation performance of separable models is largely unexplored in high dimensions and model mismatch errors need to be accurately c...

hydatid cyst locates in the liver (70%), lungs (25%) and rarely in other body tissues. cases with gluteal muscle localized hydatid cyst are rarely seen in literature. in this case report, a woman with hydatid cyst that was located in gluteal muscle was discussed. after the patient had been diagnosed, complete surgical excision was performed with the patient. albendazole treatment was applied in...

  The distribution and localization of acid and neutral mucins in various cells lining the olfactory epithelium of Cyprinus carpio have been studied histochemically by employing the PAS-AB technique. Variations in the localization of protein in different cells lining the olfactory epithelium have been correlated with the functional significance of the region concerned. Intense localization of t...