This paper considers the problem of interval scale data in the most widely used models of Data Envelopment Analysis (DEA), the CCR and BCC models. Radial models require inputs and outputs measured on the ratio scale. Our focus is on how to deal with interval scale variables especially when the interval scale variable is a difference of two ratio scale variables like profit or the decrease/incre...

The quality-adjusted life-year (QALY) is a measure of the value of health outcomes. Since health is a function of length of life and quality of life, the QALY was developed as an attempt to combine the value of these attributes into a single index number. The QALY calculation is simple: the change in utility value induced by the treatment is multiplied by the duration of the treatment effect to...

Assessing the comparability of different groups is an issue facing many researchers and evaluators in a variety of settings. Commonly, null hypothesis significance testing (NHST) is incorrectly used to demonstrate comparability when a non-significant result is found. This is problematic because a failure to find a difference between groups is not equivalent to showing that the groups are compar...

data envelopment analysis (dea) is a method for measuring the relative efficiencies of a set of decision-making units (dmus) that use multiple inputs to produce multiple outputs. in this paper, we study the measurement of dmu performances in dea in situations where input and/or output values are given as imprecise data. by imprecise data we mean situations where we only know that the actual val...

By using the functions of the form H(t, s) and a generalized Riccati technique, we establish new Kamenev-type and interval oscillation criteria for second-order nonlinear dynamic equations on time scales of the form ( p(t)x(t) )∆ + f(t, x(σ(t))) = 0. The obtained interval oscillation criteria can be applied to equations with forcing term. Two examples are included to show the significance of th...

Assessing the comparability of different groups is an issue facing many researchers and evaluators in a variety of settings. Commonly, null hypothesis significance testing (NHST) is incorrectly used to demonstrate comparability when a non-significant result is found. This is problematic because a failure to find a difference between groups is not equivalent to showing that the groups are compar...

The problem of designing robust controller for discrete two-time-scale interval systems, conveniently represented using interval matrix notion, is considered. The original full order twotime-scale interval system is decomposed into slow and fast subsystems using interval arithmetic. The controllers designed independently to stabilize these two subsystems are combined to get a composite controll...

Evaluation measures play an important role in IR experimental evaluation and their properties determine the kind of statistical analyses we can conduct. It has been previously shown that it is questionable that IR effectiveness measures are on an interval-scale and this implies that computing means and variances is not a permissible operation. In this paper, we investigate whether it is possibl...

Statistical models of Western melody were created as inspired by traditional music-theoretical conceptions. One model was based on pitch interval measurements; a second model was based on scale-degree successions. Both models distinguished between major and minor scale contexts. Both models were used to calculate the aggregate probability for over 8,000 test melodies. Paired results for both mo...