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Journal Article
1989, Cambridge tracts in mathematics, ISBN 9780521366502, Volume 93, x, 239
This monograph is concerned with the qualitative theory of best L1-approximation from finite-dimensional subspaces. It presents a survey of recent research... 
Least absolute deviations (Statistics) | Approximation theory
Book
Mathematica Slovaca, ISSN 0139-9918, 02/2017, Volume 67, Issue 1, pp. 245 - 262
In this paper, we consider the problem of the existence of a least absolute deviations estimator for the Michaelis-Menten model function... 
65C20 | 62J02 | 92C45 | weighted median | Michaelis-Menten reaction | 65D10 | least absolute deviations principle | MATHEMATICS | APPROXIMATION | KINETICS | Least absolute deviations (Statistics) | Functions | Research | Functional equations | Mathematical research | Performance evaluation | Mathematical models
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2010, Volume 105, Issue 491, pp. 1104 - 1112
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2005, Volume 67, Issue 3, pp. 381 - 393
Journal Article
Statistics, ISSN 0233-1888, 03/2014, Volume 48, Issue 2, pp. 405 - 420
It is well known that the least absolute deviation (LAD) estimators are more robust than the least squares estimators particularly in presence of heavy tail errors... 
strong consistency | asymptotic distribution | chirp signals | least absolute deviation estimators | PARAMETER-ESTIMATION | ASYMPTOTIC PROPERTIES | SIGNALS | NON-LINEAR REGRESSION | STATISTICS & PROBABILITY | SQUARES ESTIMATORS
Journal Article
Journal of the Royal Statistical Society. Series B, Statistical methodology, ISSN 1467-9868, 2008, Volume 70, Issue 5, pp. 849 - 911
Journal Article
Journal of the American Statistical Association, ISSN 1537-274X, 2010, Volume 105, Issue 489, pp. 312 - 323
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 03/2014, Volume 71, pp. 128 - 137
A robust estimation procedure for mixture linear regression models is proposed by assuming that the error terms follow a Laplace distribution. Using the fact... 
Mixture regression model | Laplace distribution | Normal mixture | EM algorithm | Least absolute deviation | ABSOLUTE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ALGORITHM | STATISTICS & PROBABILITY | ESTIMATOR | Analysis | Models | Algorithms
Journal Article
Test (Madrid, Spain), ISSN 1863-8260, 2018, Volume 28, Issue 3, pp. 785 - 803
... · Functional data analysis · Least absolute deviation · Robust statistics Mathematics Subject Classification 62G08 · 62G35 1 Introduction Advancements in modern technology... 
Robust statistics | Statistics for Business, Management, Economics, Finance, Insurance | 62G08 | Confidence band | Least absolute deviation | Statistical Theory and Methods | Statistics, general | Statistics | 62G35 | Functional data analysis | REGRESSION | ESTIMATORS | STATISTICS & PROBABILITY | PRINCIPAL COMPONENTS | DEPTH | Mathematical analysis | Robustness | Regression analysis | Polynomials
Journal Article
Journal of Business & Economic Statistics, ISSN 1537-2707, 2007, Volume 25, Issue 3, pp. 347 - 355
Journal Article
Communications in Statistics - Simulation and Computation: International Conference on Advances in Interdisciplinary Statistics and Combinatorics, ISSN 0361-0918, 10/2015, Volume 44, Issue 9, pp. 2442 - 2462
Least absolute deviation regression is applied using a fixed number of points for all values of the index to estimate the index and scale parameter of the stable distribution using regression methods... 
Characteristic function | Index | Estimation | Stable distribution | LAWS | STATISTICS & PROBABILITY | PARAMETERS | Economic models | Regression analysis | Mean square values | Least squares method | Mathematical analysis | Samples | Regression | Mathematical models | Deviation | Recognition
Journal Article
2011, ISBN 1405183691, xvi, 375
"A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to... 
Financial risk management | Probabilities
Book