A method of obtaining an average reaction time distribution for a group of subjects is described. The method is particularly useful for cases in which data from many subjects are available but there are only 10-20 reaction time observations per subject cell. Essentially, reaction times for each subject are organized in ascending order, and quantiles are calculated. The quantiles are then averag...

works for quality management and process improvement, statistical thinking is an intrinsic part of building organizational capability. In all of these frameworks there is a degree of flexibility in how the statistical thinking concepts are implemented, because these frameworks apply to many different contexts. Flexibility, however, also leads to ambiguity and inconsistency. The purpose of this ...

This article describes a simple whole cell formation technique that the author invented in teaching and experiments. The implementation of the invented technique is a syringe with a hole and slot. With the newly invented technique, novices will shorten their learning curve and veterans will increase their success rate. The invented technique lightens the labor of the experimenter and improves t...

Experiential learning methods have become increasingly popular in marketing education. Factors underlying this trend are: the desire to respond to the changing higher education environment (the student-customer); to endow students with employability skills; the common sense assumption that since marketing is a practical activity learning from experience makes sense; and, pedagogic methods desig...

Study carried out at Department of Ophthalmology Clinical Hospital of University of São Paulo School of Medicine USP. 1 Assistant Practioner Department of Ophthalmology Doctoral Student Clinical Hospital University of São Paulo School of Medicine USP São Paulo Brazil. 2 Cataract Service Fellow, Department of Ophthalmology Clinical Hospital University of São Paulo School of Medicine USP São Paul...

A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful and increasingly popular performance measure. In this paper, we consider the computational aspects of calculating AUC learning curves. A new method is provided for incrementally updating exact AUC curves and for calculating ap...

The purpose of this paper is to confront economic models of climate change with the reality that limited information exists with which to form expectations about the evolution of the climate. A key element in the tension between those who believe we should impose aggressive climate change mitigation policies and those who do not is the question of if we are merely in a long period of shock-indu...

The learning curve of Bayes optimal classii-cation algorithm when learning a perceptron from noisy random training examples is calculated exactly in the limit of large training sample size and large instance space dimension using methods of statistical mechanics. It is shown that under certain assumptions, in this \thermodynamic" limit, the probability of misclassiication of Bayes optimal algor...

We present a system to beautify curves: i.e. to take curves that roughly depict some property of interest and make them look more like what experts would draw. The focus of our work is in applications for artistic drawings, but our system can also be plugged into various other domains where curves and trajectories play a dominant role such as robot path planning, animation or edge-deblurring. O...