Results 241 to 250 of about 11,382,550 (291)

Beam manipulation for terahertz communications. [PDF]

Commun Eng
Li M, Jornet JM, Mittleman DM, Han C.
europepmc   +1 more source

Microfluidic diffusional sizing in bioanalysis and biosensing.

Lab Chip
Bauernhofer L, Baron J, Keller S, Krainer G.   +3 more
europepmc   +1 more source

Examples of fitting structured phase–type distributions

Applied Stochastic Models and Data Analysis, 1994
AbstractA sub–class of phase–type distributions is defined in terms of a Markov process with sequential transitions between transient states and transitions from these states to absorption. Such distributions form a very rich class; they can be fitted to data, and any structure revealed by the parameter estimates used to develop more parsimonious re ...
Faddy M.J.
exaly   +5 more sources

Approximation of Discrete Phase-Type Distributions

38th Annual Simulation Symposium, 2005
The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state space-based methods. The behavior of the model is described by a Markov chain that can be solved mathematically. The phase-type distributions that are used to describe non-Markovian distributions have to be approximated.
Claudia Isensee, Graham Horton
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A New Class of Multivariate Phase Type Distributions

Operations Research, 1989
A new class of multivariate phase type distributions (denoted by MPH*) is defined, based upon the total accumulated reward until absorption in a finite state, continuous time Markov chain. This new class is shown to be a strict superset of the class of multivariate phase type distributions MPH introduced by Assaf, Langberg, Savits and Shaked.
exaly   +4 more sources

Phase-Type Distributions

, 2012
Both analytical (Chap. 6) and simulation- and experimentation-based (Chap. 17) approaches to resilience assessment rely on models for the various phenomena that may affect the system under study.
Philipp Reinecke, Levente Bodrog, Alexandra Danilkina   +2 more
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Multivariate Phase-Type Distributions

Operations Research, 1984
A (univariate) random variable is said to be of phase type if it can be represented as the time until absorption in a finite state absorbing Markov chain. Univariate phase type random variables are useful because they arise from processes that are often encountered in applications, they have densities that can be written in a closed form, they possess
David Assaf, Naftali A. Langberg, Thomas H. Savits, Moshe Shaked   +3 more
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Phase-Type Distributions

2017
The class of distributions on [0, ∞) having a rational Laplace transform (i.e., a Laplace transform that is the fraction between two polynomials) will, for reasons that will become apparent in the next chapter, be referred to as matrix-exponential distributions.
Mogens Bladt, Bo Friis Nielsen
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