Recently, in an attempt to produce robust production frontier estimators, Aragon et al. [2005, Nonparametric frontier estimation: a conditional quantile-based approach. Econometric Theory 21, 358-389] and Martins-Filho and Yao [2008, A smooth nonparametric conditional quantile frontier estimator. Journal of Econometrics 143, 317-333] considered the estimation of nonparametric α- frontier models...
DNA microarray technology is a powerful tool for analyzing patterns in gene expression data for thousands of genes. Due to a number of systematic variations in microarray experiments, the raw gene expression data is often obfuscated by undesirable technical noises. Various normalization techniques were designed in an attempt to remove...
Hibiscus and lilacs (Syringa spp.) are economically important nursery crops in the US that accounted for 4.5 million units ($30 million) and 2 million units ($20 million), respectively (USDA, 2016). To maintain and expand the market share of ornamental plants such as lilacs and Hibiscus, novel performance, floral ornamental value,...
Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...
This dissertation contains three essays on nonprametric and semiparametric regression mod-
In the first essay, we propose an estimation procedure for value at risk (VaR) and expected
shortfall (TailVaR.) for conditional distributions of a time series of returns on a financial asset.
Our approach combines a local polynomial estimator of...
Many large-scale data analysis applications involve data that can vary over both time and space. Often the primary goal of analyzing spatiotemporal data is identifying trends, movements, and sudden changes with respect to time, location, or both. This can include a variety of applications in economics (housing prices, unemployment, job...
Euphausia pacifica occupy a remarkably wide range of ecosystems. We examined the
differences in brood sizes from eight regions of the North Pacific to explore how variation
in the brood size might contribute to their success over such a range. We show
a compilation and analysis of short-term E. pacifica...
The family context is an important aspect of a child’s environment that can provide helpful resources for fostering positive development or can be a source of risk. One risk factor that is present in an overwhelming number of families is low income status (Child Trends Databank, 2019). Children growing up...
A major issue in non-inferiority trials is the controversial assumption of constancy,
namely that the active control has the same effect relative to placebo as in previous studies
comparing the active control with placebo. The constancy assumption is often in doubt, which
has motivated various methods that ‘discount’ the control...
Full Text:
)
where θ̂(a) = λ̃+(a) − 1, s = z2σ̂22θ̂(a)2/∆̂212, z is the standard normal quantile corresponding to
the
Understanding local and geographic factors influencing species distributions is a prerequisite for conservation planning. Our objective in this study was to model local and geographic variability in elevations occupied by native and nonnative trout in the northwestern Great Basin, USA. To this end, we analyzed a large existing data set...