The need for a satisfactory test for pregnancy has long been felt, and numerous tests have been evolved for this purpose. A few of these may be mentioned. The Aschheim-Zondek (1928) test or its modifications depend on the demonstration of the anterior-pituitary-like hormone in the urine of pregnant women. Though this is widely accepted as the most accurate and certain test, it has several disad...

The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena pertaining to that data. This issue has been vividly compared by the renowned statistician J.F. Friedman (Friedman, 1997) of Stanford University to the advances in human mobility from the period of walking afoot to the e...

the present study aims at studying the relationship between social capital and organizational performance. this is an applied research and in terms of data collection method, it is an descriptive survey. statistical population are official employees with diploma and upper certificate and faculty members of zangan university. sapmles were 115. data collection tool is questionnaire. to analyze da...

We introduce a new statistical quantity the energy to test whether two samples originate from the same distributions. The energy is a simple logarithmic function of the distances of the observations in the variate space. The distribution of the test statistic is determined by a resampling method. The power of the energy test in one dimension was studied for a variety of different test samples a...

In this paper, we deal with connectivity and coverage problem in Wireless Mesh Networks (WMNs). We used Friedman test to compare Genetic Algorithm (GA), Tabu Search (TS), Hill Climbing (HC) and Simulated Annealing (SA). We found out that GA, TS, HC and SA have differences in their performance. Then, we used the implemented systems WMN-GA, WMN-TS, WMN-HC and WMN-SA to evaluate and compare the pe...

In this paper, we present a graphical method for selection of a good model among the several competitive models for the same data set. The proposed method not only selects the model but also tests the equal prediction accuracy of the models. The results of the proposed method are compared with that of the model selection using Friedman test.