validation criterion
1Validation — The word validation has several uses: * In common usage, validation is the process of checking if something satisfies a certain criterion. Examples would include checking if a statement is true (validity), if an appliance works as intended, if a… …
2Validation rule — A Validation rule is a criterion used in the process of data validation, carried out after the data has been encoded onto an input medium and involves a data vet or validation program. This is distinct from formal verification, where the… …
3критерий достоверности — критерий правильности — [Л.Г.Суменко. Англо русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.] Тематики информационные технологии в целом Синонимы критерий правильности EN validation criterion …
4Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain …
5Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …
6psychological testing — Use of tests to measure skill, knowledge, intelligence, capacities, or aptitudes and to make predictions about performance. Best known is the IQ test; other tests include achievement tests designed to evaluate a student s grade or performance… …
7validity — The property of being genuine, a true reflection of attitudes, behaviour, or characteristics. A measure (such as a question, series of questions, or test) is considered valid if it is thought to measure the concept or property which it claims to… …
8Validity (statistics) — In psychology, validity has two distinct fields of application. The first involves test validity, a concept that has evolved with the field of psychometrics but which textbooks still commonly gloss over in explaining that it is the degree to… …
9Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …
10List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …
