Statistical errors are common in scientific literature and about 50% of the published articles
have at least one error. The assumption of normality needs to be checked for many statistical …

The importance of normal distribution is undeniable since it is an underlying assumption of
many statistical procedures such as t-tests, linear regression analysis, discriminant analysis …

This study aims to compare normality tests in different sample sizes in data with normal
distribution under different kurtosis and skewness coefficients obtained simulatively. To this …

Normality tests can be classified into tests based on chi-squared, moments, empirical
distribution, spacings, regression and correlation and other special tests. This paper studies …

This study attempts to establish a novel statistical and ANN-based decision-making
mechanism for appraising hybrid system optimization strategies. An operational strategy and …

Today's internet data primarily consists of streamed data from various applications like
sensor networks, banking data and telecommunication data networks. A new field of study …

Construction waste minimization is a key sustainability goal in green building rating systems.
Although these rating systems traverse countries' boundaries, no research so far has …

Widefield imaging with genetically encoded voltage indicators (GEVIs) is a promising
approach for understanding the role of large cortical networks in the neural coding of …

The appropriate acquisition and processing of water quality data are crucial for water
resource management. As such, published articles on water quality monitoring and …

Uncovering the resiliency of ties between individuals involved in criminal enterprise will
contribute to our understanding of how illicit markets function. To examine activities along …