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Theory and applications of recent robust methods

Xehetasun bibliografikoak
Egile nagusia:	Ed by Hubert,Mia
Beste egile batzuk:	Pison,Greet, Struyf, Anja, Aelst,Stefan Van
Formatua:	Printed Book
Hizkuntza:	English
Argitaratua:	Boston Birkhauser 2000
Saila:	Statistics for industry and technology
Gaiak:	Robust methods

Antzeko izenburuak

Robustness theory and application /
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Robust nonparametric statistical methods
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Robust inference
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Robustness in Statistics
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Robust statistics
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Robustness In Statistics
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Handbook of statistics. Vol 15: Robust Inference
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Robust control systems Theory and case studies /
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Robust nanoparametric statistical methods
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Robust statistical methods with R /
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Robust statistical methods with R
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Mathematical methods in robust control of linear stochastic systems /
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Introduction to robust estimation & hypothesis testing
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Introduction to robust estimation and hypothesis testing
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Modern Regression Techniques Using R A Practice Guide for Students and Researchers
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Robust Statistics, Data Analysis, and Computer Intensive Methods In Honor of Peter Huber`s 60th Bithday
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Argitaratua: (1996)

Robust Statistics : The Approach Based on Influence Functions /
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Argitaratua: (1986)

Robust Inference
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Robustness analysis in decision aiding, optimization, and analytics /
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Robuat Bayesian Analysis
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Robust Nonparametric Statistical Methods
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Introduction to robust and quasi- robust statistical methods
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Robust methods in biostatistics /
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Supprt Vector Machines
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Robust control of diesel ship propulsion
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Introduction to Robust and Quasi-robust Statistical Methods
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Argitaratua: (1983)

Robust methods in biostatistics
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Robust statistical methods
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Robustness: Jackknife and bootstrap methods
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Robust statistics Theory and methods /
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Robust Statistics
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Argitaratua: (1981)

Robust Estimation
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Argitaratua: (1988)

Robust statistics
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Robust statistics
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Multivariate statistical methods :theory and applications
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Improving survey methods: lessons from recent research
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Linear programming : methods and applications
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Quantitative methods: theory and application /
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