Mathematical statistics uses two major paradigms, conventional (or frequentist), and Bayesian. Bayesian methods provide a complete paradigm for both statistical inference and decision making under uncertainty. Bayesian methods may be derived from an axiomatic system, and hence provide a general, coherent methodology. Bayesian methods contain as particular cases many of the more often used frequ...

Learning statistics is a necessity for dental researchers. Due to daily dental science expansion, dental researchers have to study new papers in recent dental journals to remain up to date. On the other hand, knowing principles of statistics helps better understanding of the articles. Some authors revealed that knowledge of dentists about basic topics of statistics was poor. Therefore, in this ...

The errors on statistics measured in finite galaxy catalogs are exhaustively investigated. The theory of errors on factorial moments by Szapudi & Colombi (1996) is applied to cumulants via a series expansion method. All results are subsequently extended to the weakly non-linear regime. Together with previous investigations this yields an analytic theory of the errors for moments and connected m...

Random search strategies occur throughout nature as a means of efficiently searching large areas for one or more targets of unknown location, which can only be detected when the searcher is within a certain range. Examples include animals foraging for food or shelter, the motor-driven transport and delivery of macromolecules to particular compartments within cells, and a promoter protein search...

In this paper we prove that Neutrosophic Statistics is an extension of the Interval Statistics, since it may deal with all types indeterminacies (with respect to data, inferential procedures, probability distributions, graphical representations, etc.), allows reduction indeterminacy, and uses neutrosophic more general than imprecise classical probabilities, andhas detailed corresponding density...