For characterization of negative exponential distribution one needs any arbitrary non-constant function only in place of approaches such as identical distributions, absolute continuity, constant ...

Abstract: one of the successful machine learning methods that has been used in many different applications is the adaptive neuro-fuzzy inference system. The selection of membership function type is ...

ABSTRACT: For characterization of negative exponential distribution one needs any arbitrary non-constant function only in place of approaches such as identical distributions, absolute continuity, ...

Fixed-width confidence intervals for the difference of location parameters of two negative-exponential distributions have been constructed through two-stage and purely sequential schemes. The two ...

Essentially, apodization has the ability to improve the sensitivity (S/N ratio) or the resolution in the spectrum and to even eliminate truncation artifacts following data collection. This function is ...