It is common to define the structure of interactions among a population of agents using the social network metaphor. Most agentbased models were shown to be highly sensitive to that network, so the relevance of simulation results depends directly on the descriptive power of that network. When studying social dynamics in large populations, this network cannot be collected, and is rather generate...

The main purpose of this study is to investigate effects of self-leadership strategies on staff creativity of government departments of Kabood Rahang region, Iran. This descriptive study has been correlative and applied in terms of nature. Statistical population of this study includes a number of employees of government departments of Kabood Rahang Province that are 800 members and 260 members ...

Population rate or activity equations are the foundation of a common approach to modeling for neural networks. These equations provide mean field dynamics for the firing rate or activity of neurons within a network given some connectivity. The shortcoming of these equations is that they take into account only the average firing rate, while leaving out higher-order statistics like correlations b...

This study examines how Brand Image, Trust, and Customer Experience affect Satisfaction through Bank Syariah Indonesia Krakatau branch Perceived Value. Quantitative associative research. uses primary secondary data. Descriptive statistics, path, path diagram analyses are used. includes clients who use multiple products. has 353 respondents. found that Image a positive significant effect on Valu...

Population rate or activity equations are the foundation of a common approach to modeling for neural networks. These equations provide mean field dynamics for the firing rate or activity of neurons within a network given some connectivity. The shortcoming of these equations is that they take into account only the average firing rate while leaving out higher order statistics like correlations be...

All those concerned with the decision-making, they take better decisions when they use all the available information with practical and interpretable way. Statistics provide methods for data collection and analysis to support the decision-making. Statistics is the Science of collection, analysis and interpretation of observed data reported in attributes of natural or social phenomena. Utilizati...

In this research work, we have developed a bio inspired PSO algorithm in combination with descriptive statistics equation based model. In this work, based on the mathematical relationship between the Entropy, Uniformity and the threshold measured in terms of intensity. It is found using box plot and curve fitting techniques to calculate automatic input threshold for PSO. The results show highly...

BACKGROUND We live in an era of explosive data generation that will continue to grow and involve all industries. One of the results of this explosion is the need for newer and more efficient data analytics procedures. Traditionally, data analytics required a substantial background in statistics and computer science. In 2015, International Business Machines Corporation (IBM) released the IBM Wat...

1 Univariate Statistics and Histograms . . . . . . . . . . . . . . . . . . 2 1.1 Measures of Location . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Measures of Position . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 Measures of Dispersion . . . . . . . . . . . . . . . . . . . . . . 7 2 Comparing the Distributions of Datasets . . . . . . . . . . . . . . . . 8 2.1 Comparing Empirical a...