large sampling method

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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

• Method of moments (statistics) — See method of moments (probability theory) for an account of a technique for proving convergence in distribution. In statistics, the method of moments is a method of estimation of population parameters such as mean, variance, median, etc. (which… …   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 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

• Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …   Wikipedia

• Scientific method — …   Wikipedia

• disproportionate stratified sampling — A sampling method in which the size of the sample drawn from a particular stratum is not proportional to the relative size of that stratum. For example, a stratum could be large supermarkets, which may only account for 20% of all grocery stores… …   Big dictionary of business and management

• 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

• Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… …   Wikipedia

• Morris method — In applied statistics, the Morris method for global sensitivity analysis is a so called one step at a time method (OAT), meaning that in each run only one input parameter is given a new value. It facilitates a global sensitivity analysis by… …   Wikipedia

• Newton's method — In numerical analysis, Newton s method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real valued function. The… …   Wikipedia