estimation sampling
1Estimation of distribution algorithm — Estimation of Distribution Algorithms (EDA), sometimes called Probabilistic Model Building Genetic Algorithms (PMBGA), are an outgrowth of genetic algorithms. In a genetic algorithm, a population of candidate solutions to a problem is maintained… …
2Sampling 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… …
3Sampling error — Contents 1 Description 1.1 Random sampling 1.2 Bias problems 1.3 Non sampling error 2 See also …
4Sampling variogram — In mathematical statistics, a sampling variogram is a graph that shows where a significant degree of causality (in this context, spatial dependence in sample spaces or sampling units) dissipates into randomness. A sampling variogram is obtained… …
5Estimation in software engineering — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development… …
6estimation — /es teuh may sheuhn/, n. 1. judgment or opinion: In my estimation the boy is guilty. 2. esteem; respect. 3. approximate calculation; estimate: to make an estimation of one s expenditures. [1325 75; ME estimacioun < MF < L aestimation (s. of… …
7Importance 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… …
8Latin 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… …
9Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… …
10Minimum distance estimation — (MDE) is a statistical method for fitting a mathematical model to data, usually the empirical distribution. Contents 1 Definition 2 Statistics used in estimation 2.1 Chi square criterion …
