sampling range

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• Sampling (statistics) — Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures… …   Wikipedia

• 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 (music) — This article is about reusing existing sound recordings in creating new works. For other uses, see Sample (disambiguation). In music, sampling is the act of taking a portion, or sample, of one sound recording and reusing it as an instrument or a… …   Wikipedia

• sampling — A method for collecting information and drawing inferences about a larger population or universe, from the analysis of only part thereof, the sample. Censuses of the population are an expensive way of monitoring social and economic change, and… …   Dictionary of sociology

• Sampling Distribution — A probability distribution of a statistic obtained through a large number of samples drawn from a specific population. The sampling distribution of a given population is the distribution of frequencies of a range of different outcomes that could… …   Investment dictionary

• 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

• 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

• 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

• Mid-range — For loudspeakers, see mid range speaker. In statistics, the mid range or mid extreme of a set of statistical data values is the arithmetic mean of the maximum and minimum values in a data set,[1] or: As such, it is a measure of central tendency.… …   Wikipedia

• Nested sampling algorithm — The nested sampling algorithm is a computational approach to the problem of comparing models in Bayesian statistics, developed in 2004 by physicist John Skilling.[1] Contents 1 Background 2 Applications 3 …   Wikipedia

• Multiple sub-Nyquist sampling encoding — MUSE (Multiple sub Nyquist sampling encoding), was a dot interlaced digital video compression system that used analog modulation for transmission to deliver 1125 line high definition video signals to the home. Japan had the earliest working HDTV… …   Wikipedia