Debt/Equity Ratios and Asset Pricing Analysis

Deciding test data volume is a major challenge in present System on Chip (SoC) design. Compaction of test data volume results in high compression ratio. Entropy analysis plays a vital role in such cases. Entropy is measurement of the amount of information contained in the data set. Entropy calculations tell the need of how much test data vector that can be compressed. This paper is based on fin...

This research proposes an integrated approach to the Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP) methodologies for ratio analysis. According to this, we compute two sets of weights of ratios in the DEA framework. All ratios are treated as outputs without explicit inputs. The first set of weights represents the most attainable efficiency level for each Decision Making Un...

Establishing appropriate relations between the basic and applied areas of behavior analysis has been of long and persistent interest to me (e.g., Friman & Poling, 1996; Poling, Picker, Grossett, Hall-Johnson, & Holbrook, 1981; Porritt, Van Wagner, & Poling, 2009). Therefore, I read with enthusiasm the collection of articles on progressive-ratio (PR) schedules that appeared in the Summer 2008 is...

tic signal. The discrete-time ratio spectrum of X ( k ) is Recently, Lam and Harris have developed a novel specN-I tral representation called the ratio spectrum [l]. The I K r " ( k ) 1 2 (1) Output Power k=O N-1 ratio spectrum is formed by taking the ratio of the power of a low-pass filtered signal to the power of the original unfiltered signal for all filter cutoff frequencies. FeaX(m) = Inpu...

In this article, a class of convergent series based on Fibonacci sequence is introduced for which there is a golden ratio (i.e. $frac{1+sqrt 5}{2}),$ with respect to convergence analysis. A class of sequences are at first built using two consecutive numbers of Fibonacci sequence and, therefore,  new sequences have been used in order  to introduce a  new class of series. All properties of the se...

In this paper we describe block algorithms for the reduction of a real symmetric matrix to tridiagonal form and for the reduction of a general real matrix to either bidiagonal or Hessenberg form using Householder transformations. The approach is to aggregate the transformations and to apply them in a blocked fashion, thus achieving algorithms that are rich in matrix-matrix operations. These red...