In non-parametric statistics, the Theil–Sen estimator is a method for robustly fitting a line to sample points in the plane (simple linear regression)...

Rosenkrantz-Theil (1977), former member of Danish parliament Theil index, a statistical algorithm used to measure economic inequality Theil–Sen estimator, a statistical...

inventing the Hodges–Lehmann estimator independently of and contemporaneously with Hodges and Lehmann and for the Theil–Sen estimator, a form of robust regression...

population median. The Hodges–Lehmann estimator has been generalized to multivariate distributions. The Theil–Sen estimator is a method for robust linear regression...

derived the minimum-variance unbiased estimator for the population R2, which is known as Olkin–Pratt estimator. Comparisons of different approaches for...

estimating A ^ {\displaystyle {\widehat {A}}} in Theil–Sen estimator regression. Theil–Sen estimator Peter J. Rousseeuw, Nathan S. Netanyahu, and David...

vectors, potentially with more covariates than observations. The Theil–Sen estimator is a simple robust estimation technique that chooses the slope of...

create an approximately consistent estimator. The estimator is therefore close in spirit to the Theil-Sen estimator. The parameter a {\displaystyle a}...

(statistics) (related to GLM) Overfitting Statistical model validation Theil–Sen estimator Berk, Robert H.; Jones, Douglas H. (1979). "Goodness-of-fit test...

Linear function Line of greatest slope Mediant Slope definitions Theil–Sen estimator, a line with the median slope among a set of sample points Clapham...

deviations (minimizing the sum of absolute values of residuals) and the Theil–Sen estimator (which chooses a line whose slope is the median of the slopes determined...

possibly seminal magazine article The Unscrambler – software Theil index Theil–Sen estimator Theory of conjoint measurement Therapeutic effect Thompson...

Spearman's rank correlation coefficient Goodman and Kruskal's gamma Theil–Sen estimator Mann–Whitney U test - it is equivalent to Kendall's tau correlation...

(2007) the preferred choice of Rousseeuw and Ryan (1997, 2008). The Theil–Sen estimator has a lower breakdown point than LTS but is statistically efficient...

is also responsible for the Theil–Sen estimator for robust regression. Theil's archives are kept at Hope College. Theil published a series of books and...

( n log ⁡ n ) {\displaystyle O(n\log n)} time algorithm for the Theil–Sen estimator, a method in robust statistics for fitting a line to a set of points...

dual form) in robust statistics as the problem of computing the Theil–Sen estimator of a set of points. Marc van Kreveld suggested the algorithmic problem...

_{i=1}^{n}(n+1-i)y_{i}}{\sum _{i=1}^{n}y_{i}}}\right)\right)} is a consistent estimator of the population Gini coefficient, but is not in general unbiased. In...

Specific tests Bayesian inference Bayesian probability prior posterior Credible interval Bayes factor Bayesian estimator Maximum posterior estimator...

Stephen Bond, he developed the Arellano–Bond estimator, a widely used GMM estimator for panel data. This estimator is based on the earlier article by Arellano's...

normal estimators) with less stringent maintained model assumptions than needed for maximum likelihood estimation. However, these estimators are mathematically...

estimation, Edgeworth expansions for the distributions of econometric estimators, identification conditions in simultaneous equations models, asymptotic...

demography. A widely known contribution by Nerlove in econometrics is the estimator for the random effects model in panel data analysis, which is implemented...