The more degrees of freedom a quantum observable has, the more complicated it is to measure its probability distribution. Here, the authors deduce the mean and variance of an infinite-dimensional ...

An algorithm for the mean and variance of the noncentral hypergeometric distribution is presented, based on two equations from Harkness (1965, Annals of Mathematical Statistics 36, 938-945).

This paper obtains and explores a family of confidence procedures for the mean of a normal distribution which are, in a certain sense, more efficient than the usual procedure. Let X (possibly a sample ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

We propose a numerical optimization approach that can be used to solve portfolio selection problems including several assets and involving objective functions from cumulative prospect theory (CPT).