For data processing in conventional phase shifting interferometry, Fourier transform, and least-squares-fitting techniques, a whole interferometric data series is required. We propose a new interferometric data processing methodology based on a recurrent nonlinear procedure. The signal value is predicted from the previous step to the next step, and the prediction error is used for nonlinear cor...

January/February 2003, Volume 57, Number 1 If there is any single statistic that we practitioners should know so deeply that it is integral to our view of the world, it is the standard deviation. This statistic is a beautiful one for evidence-based practice and, well, just beautiful in general. The reason for its beauty is that it depicts variation among individuals. Our practice is with indivi...

This paper describes some of our efforts in infusing the critical thinking skill of comparing and contrasting into a course on data structures. Comparing and contrasting is the process of looking at similarities and differences in order to reveal important characteristics of two objects, systems, organizations, events, processes or concepts. In comparing and contrasting two subjects, we identif...

for efficiency evaluation of some of the decision making units that have uncertain information, rough data envelopment analysis technique is used, which is derived from rough set theorem and data envelopment analysis (dea). in some situations rough data alter nonradially. to this end, this paper proposes additive rough–dea model and illustrates the proposed model by a numerical example.

the  main  assumptions  in  liner  mixed  model  are normality  and  independency  of  random  effect component.   unfortunately,   these   two  assumptions   might   be  unrealistic   in  some   situations. therefore, in this paper, we will discuss about the analysis of bayesian analysis of non-normal and non-independent mixed model using skew-normal/independent distributions, and finally, thi...

The paper presents the research results related to the use of large utility-managed customer datasets for identifying customer trends and variations that may provide insights to the potential for energy efficiency opportunities. The emphasis is residential customers although the results can be applied to other sectors and building types. An approach to guide the statistical analysis and researc...