Robust Statistics Data Analysis and Computer Intensive Methods

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Robust Statistics Data Analysis and Computer Intensive Methods

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Robust Statistics Data Analysis and Computer Intensive Methods

  • 品牌: Unbranded

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$199.00

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Robust Statistics Data Analysis and Computer Intensive Methods

Bootstrap Variable-Selection and Confidence Sets. - Robust Estimation in the Logistic Regression Model. - The m out of n Bootstrap and Goodness of Fit Tests with Double Censored Data. - What Criterion for a Power Algorithm?. - Nonparametric Estimation of Global Functionals of Conditional Quantiles. - High Breakdown Point Estimators in Logistic Regression. - The Guinea Pig of Multiple Regression. - When is a p-Value a Good Measure of Evidence?. - Geometric Properties of Principal Curves in the Plane. - On Robust Estimation of Variograms in Geostatistics. - Advances in Nonparametric Function Estimation. - On the Philosophical Foundations of Statistics: Bridges to Huber's work and recent results. - Data Based Prototyping. - Robust Regression with a Categorical Covariable. - Robustness in Discriminant Analysis. - M-Estimation and Spatial Quantites. - Robust Statistical Methods in Interlab oratory Analytical Studies. - Estimating Distributions with a Fixed Number of Modes. - Implementing M -Estimators of the Gamma distribution. - Constrained M -Estimation for Regression. - Inference for the Direction of the Larger of Two Eigenvectors: The Case of Circular Elongation. - High Breakdown Point Designs. - On Bayesian Robustness: An Asymptotic Approach. - Computational Aspects of Trimmed Single-Link Clustering. - Interval Probability on Finite Sample Spaces. - On Consistency of Recursive Multivariate M-Estimators in Linear Models. - List of Participants. Language: English
  • 品牌: Unbranded
  • 类别: 教育
  • 语言: English
  • 出版日期: 1995/12/22
  • 出版社/标签: Springer
  • 格式: Paperback
  • Fruugo ID: 337365787-740994659
  • ISBN: 9780387946603

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