Thomas L. Reinsfelder is a Reference/Instruction Librarian at Penn State Mont Alto; e-mail: tlr15@psu. edu. © 2012 Thomas L. Reinsfelder, Attribution-NonCommercial (http://creativecommons.org/licenses/ by-nc-sa/3.0/) CC BY-NC This study sought to determine the degree to which individual research consultations with a librarian can improve the work of undergraduate students. Citation analysis was...

In this paper, we propose a new representation which is particularly useful for a class of non-parametric nonlinear systems that have short term memory and low degree of interaction. Advantages and disadvantages of this representation are discussed and compared to existing methods both theoretically and numerically. Furthermore, results regarding structural estimation based on the analysis of v...

At the initial stage of surfactant adsorption (when the layer is relatively diluted), the kinetics may be dominated by factors related to the transfer of molecules through the subsurface region and onto the interface. We consider two independent physical effects: (1) diffusion through a subsurface layer with nanometer thickness, where structuring or molecular interactions can impose substantial...

The least-trimmed squares estimation (LTS) is a robust solution for regression problems. On the one hand, it can achieve any given breakdown value by setting a proper trimming fraction. On the other hand, it has √ n-consistency and asymptotic normality under some conditions. In addition, the LTS estimator is regression, scale, and a6ne equivariant. In practical regression problems, we often nee...

in data envelopment analyze (dea) the scale efficiency in the input-oriented ccr model is less than or equal to the scale efficiency in dea based on the fractional analysis (dea-r). also, the scale efficiency in case of multiple inputs and one output and vice versa the scale efficiencies are equal in dea and dea-r. in this paper, first, dea-r model with weight restrictions when there is relativ...

Most scientific disciplinesgenerate experimental data from an observed system about which we have may have little understanding of the data generating function. It is attractive, therefore, for an analysis system to break a complex dataset intoa series of piecewise similar groups or structures, each of which may then be regarded as a separate data state, for example, thus reducing overall data ...

The bandwidth that minimizes the mean integrated square error of a kernel density estimator may not always be good when the density estimate is used for classification purpose. On the other hand cross-validation based techniques for choosing bandwidths may not be computationally feasible when there are many competing classes. Instead of concentrating on a single optimum bandwidth for each popul...

Social Network Analysis (SNA) is an established discipline for the study of groups of individuals with applications in several areas like economics, information science, organizational studies and psychology. In the last fifteen years the exponential growth of on-line Social Network Sites (SNSs) like Facebook, QQ and Twitter has provided a new challenging application context for SNA methods. Ho...