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Robust Maximum Likelihood Estimation

INFORMS Journal on Computing, 2019
In many applications, statistical estimators serve to derive conclusions from data, for example, in finance, medical decision making, and clinical trials. However, the conclusions are typically dependent on uncertainties in the data. We use robust optimization principles to provide robust maximum likelihood estimators that are protected against data ...
Dimitris Bertsimas, Omid Nohadani
openaire   +2 more sources

Robust Estimation and Robust Parameter

2020
This chapter is addressed to the problem of defining the parameter in a semiparametric situation. Suppose, for example, that the observation X is assumed to be expressed as \(X=\theta +\varepsilon \), where \(\theta \) is the parameter to be estimated and \(\varepsilon \) is the error whose distribution is not specified by a finite number of parameters.
openaire   +1 more source

A robust Liu regression estimator

Communications in Statistics - Simulation and Computation, 2017
The least-squares regression estimator can be very sensitive in the presence of multicollinearity and outliers in the data. We introduce a new robust estimator based on the MM estimator.
Peter Filzmoser, Fatma Sevinç Kurnaz
openaire   +3 more sources

Robust estimations

2022
This manuscript is currently under review in PNAS. There are three papers related. For more.information, please visit https//github.com/tubanlee. If you are interested, feel free to contact tl@biomathematics.org, for more materials available by request. Please do not use it without the author's approval before publishing.
openaire   +2 more sources

Robust estimation for circular data

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Robust Estimators in Econometrics

2008
P. (ČÍŽek, W. HÄRdle
openaire   +1 more source

Robust Sets of Regression Estimates

Econometrica, 1983
Gilstein, C Zachary, Leamer, Edward E
openaire   +1 more source

A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data

Structural Equation Modeling, 2014
Christine DiStefano, Grant B Morgan
exaly  

Robust Estimation Using the Huber Function With a Data-Dependent Tuning Constant

Journal of Computational and Graphical Statistics, 2007
Min Zhu, Zhidong Bai
exaly  

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