From: owner-ammf-digest@smoe.org (alt.music.moxy-fruvous digest) To: ammf-digest@smoe.org Subject: alt.music.moxy-fruvous digest V14 #4080 Reply-To: ammf@fruvous.com Sender: owner-ammf-digest@smoe.org Errors-To: owner-ammf-digest@smoe.org Precedence: bulk alt.music.moxy-fruvous digest Saturday, May 2 2020 Volume 14 : Number 4080 Today's Subjects: ----------------- How you can switch it off to see faster fat loss and more energy ["Surviv] ---------------------------------------------------------------------- Date: Sat, 2 May 2020 10:19:02 -0400 From: "Survival Muscle" Subject: How you can switch it off to see faster fat loss and more energy How you can switch it off to see faster fat loss and more energy http://southlab.bid/B7wq0MFl440_LqLvxivFB5raTzHuBkeFhdBxDV5NFfPjPcs http://southlab.bid/1Jeo0EJRbS2gKoA3jE3KiiTiC7ha-QZPLHWYouvpmenLi6c process has the natural numbers as its state space and the non-negative numbers as its index set. This process is also called the Poisson counting process, since it can be interpreted as an example of a counting process. If a Poisson process is defined with a single positive constant, then the process is called a homogeneous Poisson process. The homogeneous Poisson process is a member of important classes of stochastic processes such as Markov processes and LC)vy processes. The homogeneous Poisson process can be defined and generalized in different ways. It can be defined such that its index set is the real line, and this stochastic process is also called the stationary Poisson process. If the parameter constant of the Poisson process is replaced with some non-negative integrable function of {\displaystyle t}t, the resulting process is called an inhomogeneous or nonhomogeneous Poisson process, where the average density of points of the process is no longer constant. Serving as a fundamental process in queueing theory, the Poisson process is an important process for mathematical models, where it finds applications for models of events randomly occurring in certain time windows. Defined on the real line, the Poisson process can be interpreted as a stochastic process, among other random objects. But then it can be defined on the {\displaystyle n}n-dimensional Euclidean space or other mathematical spaces, where it is often interpreted as a random set or a random counting measure, instead of a stochastic process. In this setting, the Poisson process, also called the Poisson point process, is one of the most important objects in probability theory, both for applications and theoretical reasons. But it has been remarked that the Poisson process does not receive as much attention as it should, partly due to it often being considered just on the real line, and not on other mathematical spaces ------------------------------ End of alt.music.moxy-fruvous digest V14 #4080 **********************************************