Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics
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9780387946603, 9781461223801

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Robust Estimation in the Logistic Regression Model

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_2 ◽

1996 ◽

pp. 17-34 ◽

Cited By ~ 39

Author(s):

Ana M. Bianco ◽

Víctor J. Yohai

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Robust Estimation ◽

Logistic Regression Model

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Constrained M-Estimation for Regression

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_20 ◽

1996 ◽

pp. 299-320 ◽

Cited By ~ 13

Author(s):

Beatriz Mendes ◽

David E. Tyler

Keyword(s):

M Estimation

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Robust Regression with a Categorical Covariable

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_14 ◽

1996 ◽

pp. 215-224 ◽

Cited By ~ 2

Author(s):

Mia Huber ◽

Peter J. Rousseeuw

Keyword(s):

Robust Regression

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On Consistency of Recursive Multivariate M-Estimators in Linear Models

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_26 ◽

1996 ◽

pp. 411-424 ◽

Cited By ~ 2

Author(s):

Yuehua Wu

Keyword(s):

Linear Models

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Geometric Properties of Principal Curves in the Plane

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_9 ◽

1996 ◽

pp. 135-152 ◽

Cited By ~ 14

Author(s):

Tom Duchamp ◽

Werner Stuetzle

Keyword(s):

Principal Curves ◽

Geometric Properties

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Inference for the Direction of the Larger of Two Eigenvectors: The Case of Circular Elongation

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_21 ◽

1996 ◽

pp. 321-352

Author(s):

Stephan Morgenthaler ◽

John W. Tukey

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On Bayesian Robustness: An Asymptotic Approach

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_23 ◽

1996 ◽

pp. 361-374

Author(s):

Daniel Peña ◽

Ruben H. Zamar

Keyword(s):

Bayesian Robustness ◽

Asymptotic Approach

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On the Philosophical Foundations of Statistics: Bridges to Huber’s work, and recent results

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_12 ◽

1996 ◽

pp. 185-196 ◽

Cited By ~ 6

Author(s):

Frank Hampel

Keyword(s):

Philosophical Foundations ◽

Foundations Of Statistics

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Advances in Nonparametric Function Estimation

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_11 ◽

1996 ◽

pp. 173-184

Author(s):

Theo Gasser

Keyword(s):

Function Estimation ◽

Nonparametric Function ◽

Nonparametric Function Estimation

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Bootstrap Variable—Selection and Confidence Sets

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2380-1_1 ◽

1996 ◽

pp. 1-16 ◽

Cited By ~ 2

Author(s):

Rudolf Beran

Keyword(s):

Variable Selection ◽

Confidence Sets

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Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Robust Estimation in the Logistic Regression Model

Constrained M-Estimation for Regression

Robust Regression with a Categorical Covariable

On Consistency of Recursive Multivariate M-Estimators in Linear Models

Geometric Properties of Principal Curves in the Plane

Inference for the Direction of the Larger of Two Eigenvectors: The Case of Circular Elongation

On Bayesian Robustness: An Asymptotic Approach

On the Philosophical Foundations of Statistics: Bridges to Huber’s work, and recent results

Advances in Nonparametric Function Estimation

Bootstrap Variable—Selection and Confidence Sets

Robust Statistics, Data Analysis, and Computer Intensive Methods - Lecture Notes in Statistics
Latest Publications