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weighted sampling

См. также в других словарях:

  • 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

  • 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

  • Stratified sampling — In statistics, stratified sampling is a method of sampling from a population.When sub populations vary considerably, it is advantageous to sample each subpopulation (stratum) independently. Stratification is the process of grouping members of the …   Wikipedia

  • Umbrella sampling — is a technique in computational physics and chemistry, used to improve sampling of a system (or different systems) where ergodicity is hindered by the form of the system s energy landscape. It was first suggested by Torrie and Valleau in 1977… …   Wikipedia

  • Stratified Random Sampling — A method of sampling that involves the division of a population into smaller groups known as strata. In stratified random sampling, the strata are formed based on members shared attributes or characteristics. A random sample from each stratum is… …   Investment dictionary

  • Coal sampling —   The collection and proper storage and handling of a relatively small quantity of coal for laboratory analysis. Sampling may be done for a wide range of purposes, such as: coal resource exploration and assessment, characterization of their… …   Energy terms

  • Convolution sampling — In mathematics, convolution sampling is a technique used to generate observations from a distribution.A number of distributions can be expressed in terms of the (possibly weighted) sum of two or more random variables from other distributions (The …   Wikipedia

  • China Health and Nutrition Survey — The China Health and Nutrition Survey (CHNS), an ongoing international collaborative project between the Carolina Population Center at the University of North Carolina at Chapel Hill, the National Institute of Nutrition and Food Safety, and the… …   Wikipedia

  • Applicability Domain — The Applicability Domain (AD) of a QSAR is the physico chemical, structural or biological space, knowledge or information on which the training set of the model has been developed, and for which it is applicable to make predictions for new… …   Wikipedia

  • Bootstrapping (machine learning) — In machine learning, bootstrapping is a general technique that iteratively trains and evaluates a classifier in order to improve its performance. In object detection, it is often used in conjunction with AdaBoost algorithm for efficient… …   Wikipedia

  • Monte Carlo integration — An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square s area can be easily calculated, the area of the circle can be estimated by the ratio (0.8) of the… …   Wikipedia

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