A recent study examined the stability of rankings from random forests using two variable importance measures (mean decrease accuracy (MDA) and mean decrease Gini (MDG)) and concluded that rankings based on the MDG were more robust than MDA. However, studies examining data-specific characteristics on ranking stability have been few. Rankings based on the MDG measure showed sensitivity to within-...

Regulators can utilize a number of alternative methodologies for comparing firm efficiency, but these approaches need to be robust to be accepted by stakeholders. This study evaluates the consistency of water utility performance rankings for Peruvian water utilities. The results indicate that Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis yield similar rankings in this case. I...

INTRODUCTION This study investigates the impact of the Doximity rankings on the rank list choices made by residency applicants in emergency medicine (EM). METHODS We sent an 11-item survey by email to all students who applied to EM residency programs at four different institutions representing diverse geographical regions. Students were asked questions about their perception of Doximity ranki...

The paper presents a methodology for calculating the aggregate global university ranking (Aggregated Global University Ranking, or AGUR), which consists of an automated presentation of the comparable lists of names for different universities from particular global university rankings (using Machine Learning and Mining Data algorithms) and a simple procedure of aggregating particular global univ...

University of Wisconsin Population Health Institute has published County Health Rankings (The Rankings) since 2010. These rankings use population-based data to highlight variation in health and encourage health assessment for all US counties. However, the uncertainty of estimates remains a limitation. We sought to quantify the precision of The Rankings for selected measures. We developed hierar...

The problem of aggregating individual rankings to create an overall consensus ranking representative of the group is of longstanding interest in group decision making. The problem arises in situations where a group of k Decision Makers (DMs) are asked to rank order n alternatives. The question is how to combine the DMs’ rankings into one consensus ranking. Several different approaches have been...

In our case, this five-step procedure is slightly more complex, as we first construct three separate sub-indices of globalisation (economic, social, and political) following steps 1-5. . The country rankings derived from these indices are reported separately on our website. We then calculate the simple unweighted average of these three subindices to give an overall globalisation index; the coun...

Academic rankings today are the backbone of research governance, which seem to fit the aims of “new public management” on the one side and the idea of the “republic of science” on the other side. Nevertheless rankings recently came under scrutiny. We discuss advantages and disadvantages of academic rankings, in particular their unintended negative consequences on the research process. To counte...

A ranking of a graph is a coloring of the vertex set with positive integers such that on every path connecting two vertices of the same color there is a vertex of larger color. We consider the directed variant of this problem, where the above condition is imposed only on those paths in which all edges are oriented in the same direction. We show that the ranking number of a directed tree is boun...

In this talk, I present a recursive algorithm to calculate the number of rankings that are consistent with a set of data (optimal candidates) in the framework of Optimality Theory (OT; Prince and Smolensky 1993).1 Computing this quantity, which I call r-volume, makes possible a simple and effective Bayesian heuristic in learning – all else equal, choose candidates that are preferred by the high...