kernel smoothing in regression
- kernel smoothing in regression
French\ \ grain lissant dans la régression
German\ \ Kernglättung in der Regression
Dutch\ \ gladmaken van de kern in regressie
Italian\ \ nocciolo che regolare nella regressione
Spanish\ \ nocciolo che regolare nella regressione
Catalan\ \ suavitzat per nuclis en regressió
Portuguese\ \ alisamento de núcleo em regressão
Romanian\ \ -
Danish\ \ kerneudglatning i regression
Norwegian\ \ -
Swedish\ \ kärnutjämning i regression
Greek\ \ λείανση πυρήνων στην οπισθοδρόμηση
Finnish\ \ ydintasoitus regressioanalyysissä
Hungarian\ \ -
Turkish\ \ regresyonda çekirdek düzleştirmesi
Estonian\ \ -
Lithuanian\ \ -
Slovenian\ \ -
Polish\ \ -
Russian\ \ ядро сглаживания в регрессии
Ukrainian\ \ -
Serbian\ \ -
Icelandic\ \ kernel refur í aðhvarfsgreiningu
Euskara\ \ kernel erregresio en leuntzea
Farsi\ \ -
Persian-Farsi\ \ روش هستهاي هموارسازي
Arabic\ \ تمهيد كرنل في الانحدار
Afrikaans\ \ kerngladstryking in regressie
Chinese\ \ -
Korean\ \ 핵평활
Statistical terms.
2014.
Look at other dictionaries:
Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… … Wikipedia
Kernel-Regression — Unter Kernel Regression versteht man eine Reihe nichtparametrischer statistischer Methoden, bei denen die Abhängigkeit einer zufälligen Größe von Ausgangsdaten mittels Kerndichteschätzung geschätzt werden. Die Art der Abhängigkeit, dargestellt… … Deutsch Wikipedia
Kernel regression — Not to be confused with Kernel principal component analysis. The kernel regression is a non parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non linear relation between a… … Wikipedia
Kernel smoother — A kernel smoother is a statistical technique for estimating a real valued function f(X),,left( Xin mathbb{R}^{p} ight) by using its noisy observations, when no parametric model for this function is known. The estimated function is smooth, and the … Wikipedia
Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… … Wikipedia
Numerical smoothing and differentiation — An experimental datum value can be conceptually described as the sum of a signal and some noise, but in practice the two contributions cannot be separated. The purpose of smoothing is to increase the Signal to noise ratio without greatly… … Wikipedia
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
List 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… … Wikipedia
CrimeStat — Primary File page of CrimeStat CrimeStat is a Windows based spatial statistic software program that conducts spatial and statistical analysis and is designed to interface with a Geographic Information System. The program is developed by Ned… … Wikipedia
List of mathematics articles (S) — NOTOC S S duality S matrix S plane S transform S unit S.O.S. Mathematics SA subgroup Saccheri quadrilateral Sacks spiral Sacred geometry Saddle node bifurcation Saddle point Saddle surface Sadleirian Professor of Pure Mathematics Safe prime Safe… … Wikipedia
Moving average — For other uses, see Moving average (disambiguation). In statistics, a moving average, also called rolling average, rolling mean or running average, is a type of finite impulse response filter used to analyze a set of data points by creating a… … Wikipedia
