Past work on complex variables has mainly focused on their second-order structure, as well as that of their conjugates, whereas the main purpose of this correspondence is to clarify the concept of a ...

Abstract: Traditional asymptotic analysis techniques fail for lognormal random variables (RV) because a lognormal probability density function cannot ... for the multivariate cumulative distribution ...

Spatially resolved images of debris discs are necessary to determine disc morphological properties and the scattering phase function (SPF ... resolved population of debris discs in a uniform and ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Visually, the larger the variance, the "fatter" a probability distribution will be. In finance, if something like an investment has a greater variance, it may be interpreted as more risky or volatile.

Some functionality may not work correctly outside of this environment. Note: Support for these distributions is under development. Some functions may not be fully implemented or may produce unexpected ...

In this paper, we use APOGEE data to derive the intrinsic density distribution of MAPs in the Milky Way, after carefully considering the survey selection function. We find that a single exponential ...

The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis. This second edition contains all the ...

Volumetry and uniform sampling methods for timed regular expressions.

The present study is to investigate the influence of weight percentage of silicon carbide (SiC) (5,10 %, 15%) and particle size (10,20,40µm) of SiC and constant 2% of Molybdenum disulphide(MoS 2)is ...