same order bias estimators
- same order bias estimators
French\ \ estimateurs à biais du même ordre
German\ \ gleichen Reihenfolge bias Schätzer
Dutch\ \ schatters met een onzuiverheid van dezelfde grootte-orde
Italian\ \ stimatori distorti dello stesso ordine
Spanish\ \ estimadores mismo sesgo para
Catalan\ \ -
Portuguese\ \ estimadores enviesados da mesma ordem; estimadores viesados da mesma ordem (bra); estimadores viciados da mesma ordem
Romanian\ \ -
Danish\ \ -
Norwegian\ \ -
Swedish\ \ -
Greek\ \ ίδια εκτιμητές προκατάληψη για
Finnish\ \ samanasteiset harhaiset estimaattorit
Hungarian\ \ azonos mértékben torzító becslések
Turkish\ \ aynı sıralı yanlılık tahminleyicileri
Estonian\ \ sama järku nihke hinnangufunktsioonid
Lithuanian\ \ įvertiniai su tos pat eilės poslinkiu
Slovenian\ \ -
Polish\ \ estymatory obiążone tego samego rzędu
Russian\ \ одинаковый порядок искаженного показателя
Ukrainian\ \ -
Serbian\ \ -
Icelandic\ \ sömu röð hlutdrægni metla
Euskara\ \ -
Farsi\ \ -
Persian-Farsi\ \ -
Arabic\ \ مقدرات متميزة من نفس الرتبة
Afrikaans\ \ gelykeordesydigheidsberamers
Chinese\ \ 同 阶 有 偏 估 计 量
Korean\ \ 동순서편향추정량
Statistical terms.
2014.
Look at other dictionaries:
Malmquist bias — For other uses of Malmquist, see Malmquist (disambiguation). The Malmquist bias refers to an effect in observational astronomy which leads to the preferential detection of intrinsically bright objects. It was first popularized in 1922 by Swedish… … Wikipedia
Sampling 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… … Wikipedia
Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
Consistent estimator — {T1, T2, T3, …} is a sequence of estimators for parameter θ0, the true value of which is 4. This sequence is consistent: the estimators are getting more and more concentrated near the true value θ0; at the same time, these estimators are biased.… … Wikipedia
Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… … 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
Power law — A power law is any polynomial relationship that exhibits the property of scale invariance. The most common power laws relate two variables and have the form:f(x) = ax^k! +o(x^k),where a and k are constants, and o(x^k) is of x. Here, k is… … 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
Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… … Wikipedia
Median — This article is about the statistical concept. For other uses, see Median (disambiguation). In probability theory and statistics, a median is described as the numerical value separating the higher half of a sample, a population, or a probability… … Wikipedia
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