The estimation of production functions has been one of the more popular areas of applied econometrics. Recent work in duality theory which has linked production and cost functions has made this topic even more attractive. Typically, least squares (or some variant, such as two stage or generalized least squares) is used to estimate the model of interest in accordance with the assumption of a nor...

We consider goodness–of–fit tests for the distribution of composed error in Stochastic Frontier Models. The proposed test statistic utilizes characteristic function term, and is formulated as a weighted integral properly standardized data. new shown to be consistent computationally convenient. Simulation results are presented whereby resampling versions compared classical methods.

Prevalent in nature, protein oligomers play critical roles both physiologically and pathologically. The multimeric nature conformational transiency of greatly complicate a more detailed glimpse into the molecular structure as well function. In this minireview, are classified described on basis biological function, toxicity, application. We also define bottlenecks recent oligomer studies further...

Manipulation and analysis of single cells is the next frontier in understanding processes that control the function and fate of cells. Herein we describe a single-cell injection platform based on nanopipettes. The system uses scanning microscopy techniques to detect cell surfaces, and voltage pulses to deliver molecules into individual cells. As a proof of concept, we injected adherent mammalia...

In this paper, we present a finite sample analysis of the sample minimum-variance frontier under the assumption that the returns are independent and multivariate normally distributed. We show that the sample minimum-variance frontier is a highly biased estimator of the population frontier and we propose an improved estimator of the population frontier. In addition, we provide the exact distribu...