- nonparametric techniques
- • neparametarske tehnike
English-Serbian dictionary. 2013.
nonparametric techniques
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Nonparametric regression — is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on… … Wikipedia
непараметрические методы — — [http://www.iks media.ru/glossary/index.html?glossid=2400324] Тематики электросвязь, основные понятия EN nonparametric techniques … Справочник технического переводчика
statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… … Universalium
Non-parametric statistics — In statistics, the term non parametric statistics has at least two different meanings: The first meaning of non parametric covers techniques that do not rely on data belonging to any particular distribution. These include, among others:… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
Information visualization — the interdisciplinary study of the visual representation of large scale collections of non numerical information, such as files and lines of code in software systems [S.G. Eick (1994). Graphically displaying text . In: Journal of Computational… … Wikipedia
Resampling (statistics) — In statistics, resampling is any of a variety of methods for doing one of the following: # Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknife) or drawing randomly with… … Wikipedia
Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… … Wikipedia
Multivariate 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… … Wikipedia
Shlomo Sawilowsky — Shlomo S. Sawilowsky (born 1954) is Professor of Educational Statistics and Distinguished Faculty Fellow at Wayne State University in Detroit, Michigan, where he has won many teaching and research awards. He was awarded the 1985 Florida… … Wikipedia
Psychometric software — is software that is used for psychometric analysis of data from tests, questionnaires, or inventories reflecting latent psychoeducational variables. While some psychometric analyses can be performed with standard statistical software like SPSS,… … Wikipedia
