sampling function
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Sampling (signal processing) — Signal sampling representation. The continuous signal is represented with a green color whereas the discrete samples are in blue. In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the … Wikipedia
Sampling error — Contents 1 Description 1.1 Random sampling 1.2 Bias problems 1.3 Non sampling error 2 See also … Wikipedia
Sampling bias — In statistics, sampling bias is when a sample is collected in such a way that some members of the intended population are less likely to be included than others. It results in a biased sample, a non random sample[1] of a population (or non human… … Wikipedia
Sampling design — In the theory of finite population sampling, a sampling design specifies for every possible sample its probability of being drawn.Mathematically, a sampling design is denoted by the function P(S) which gives the probability of drawing a sample S … Wikipedia
Function composition (computer science) — In computer science, function composition (not to be confused with object composition) is an act or mechanism to combine simple functions to build more complicated ones. Like the usual composition of functions in mathematics, the result of the… … Wikipedia
Sampling equiprobably with dice — An illustrative example of how to compute with the probabilities associated to dice, as well as the analysis of algorithms, is the following problem. Suppose you have a group of 19 individuals and an ordinary six sided die. Your task is to use… … Wikipedia
Dirac delta function — Schematic representation of the Dirac delta function by a line surmounted by an arrow. The height of the arrow is usually used to specify the value of any multiplicative constant, which will give the area under the function. The other convention… … Wikipedia
Nyquist–Shannon sampling theorem — Fig.1: Hypothetical spectrum of a bandlimited signal as a function of frequency The Nyquist–Shannon sampling theorem, after Harry Nyquist and Claude Shannon, is a fundamental result in the field of information theory, in particular… … Wikipedia
Importance sampling — In statistics, importance sampling is a general technique for estimating the properties of a particular distribution, while only having samples generated from a different distribution rather than the distribution of interest. Depending on the… … Wikipedia
Inverse transform sampling — Inverse transform sampling, also known as the probability integral transform, is a method of generating sample numbers at random from any probability distribution given its cumulative distribution function (cdf). This method is generally… … Wikipedia
Latin hypercube sampling — (LHS) is a statistical method for generating a distribution of plausible collections of parameter values from a multidimensional distribution. The sampling method is often applied in uncertainty analysis. The technique was first described by… … Wikipedia
