distributed-parameter process
11Gaussian process — A Gaussian process is a stochastic process which generates samples over time { X t } t ∈ T such that no matter which finite linear combination of the X t one takes (or, more generally, any linear functional of the sample function X t ), that… …
12Markov additive process — In applied probability, a Markov additive process (MAP) {(X(t),J(t)) : t ≥ 0} is a bivariate Markov process whose transition probability measure is translation invariant in the additive component X(t). That is to say, the… …
13Exponential distribution — Not to be confused with the exponential families of probability distributions. Exponential Probability density function Cumulative distribution function para …
14Control theory — For control theory in psychology and sociology, see control theory (sociology) and Perceptual Control Theory. The concept of the feedback loop to control the dynamic behavior of the system: this is negative feedback, because the sensed value is… …
15Quantitative feedback theory — (QFT), developed by Isaac Horowitz (Horowitz, 1963; Horowitz and Sidi, 1972), is a frequency domain technique utilising the Nichols chart (NC) in order to achieve a desired robust design over a specified region of plant uncertainty. Desired time… …
16Causality (physics) — Causality [Green, Celia (2003). The Lost Cause: Causation and the Mind Body Problem . Oxford: Oxford Forum. ISBN 0 9536772 1 4. Includes three chapters on causality at the microlevel in physics.] [Bunge, Mario (1959). Causality: the place of the… …
17List of types of systems theory — This list of types of systems theory gives an overview of different types of systems theory, which are mentioned in scientific book titles or articles. [Their are a lot of book titles named ... systems: theory and applications . This leaves the… …
18Distribution — Contents 1 In mathematics, science, and technology 1.1 In mathematics 1.2 In science …
19Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …
20Negative binomial distribution — Probability mass function The orange line represents the mean, which is equal to 10 in each of these plots; the green line shows the standard deviation. notation: parameters: r > 0 number of failures until the experiment is stopped (integer,… …
