Spearman’s rank correlation coefficient (denoted here by rs) is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of the associations between two variables. It is a measure of a monotone association that is used when the distribution of the data makes Pearson’s correlation coefficient undesirable or misleading. Spearman’s coefficient is...

In this paper, bit error performance evaluation of chaotic sequences is presented. Performance of chaotic sequences is evaluated on multiple access spread spectrum system model for USRP software defined radio. LabVIEW is used to perform numerical simulations and bit error rate analysis. Chaotic sequences of different lengths are generated using one-dimensional, two-dimensional, and three-dimens...

BACKGROUND Currently, the longitudinal validity (validity over time) and responsiveness (ability to measure change over time) of the Food Allergy Quality of Life Questionnaire-Adult Form (FAQLQ-AF), the Food Allergy Quality of Life Questionnaire-Teenager Form (FAQLQ-TF), and the Food Allergy Quality of Life Questionnaire-Child Form (FAQLQ-CF) are unknown. Additionally, the self-reported impact ...

In this paper the correlation between class attendance and performance has been analyzed to identify whether attendance is a factor which affects the students’ performance in a computers related subject. The data for analysis was taken from two classes of undergraduate students of Computer Application Course at a college in New Delhi India. The correlation was found using Pearson correlation co...

This chapter first reviews the major consequences of ordinal measurement in Confirmatory Factor Analysis (CFA) models and introduces the reader to the Polychoric correlation coefficient, a measure of association designed to avoid these consequences. Next, it presents the results of a Monte Carlo experiment in which the performance of the estimates of a CFA model based on Pearson and Polychoric ...

OMICS data are increasingly available to biomedical researchers, and (biological) replications are more and more affordable for gene microarray experiments or proteomics experiments. The functional relationship between a pair of genes or proteins are often inferred by calculating correlation coefficient between their expression profiles. Classical correlation estimation techniques, such as Pear...

BACKGROUND To understand cartilage oligomeric matrix protein (COMP) mechanism network from human normal adjacent tissues to lung adenocarcinoma. METHODS COMP complete different activated (all no positive correlation, Pearson CC < 0.25) and uncomplete (partly no positive correlation except COMP, Pearson CC < 0.25) network were identified in higher lung adenocarcinoma compared with lower human ...