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Statistical Modeling and Analysis for Complex Data Problems

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Cover of 'Statistical Modeling and Analysis for Complex Data Problems'

Table of Contents

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    Book Overview
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    Chapter 1 Dependence Properties of Meta-Elliptical Distributions
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    Chapter 2 The Statistical Significance of Palm Beach County
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    Chapter 3 Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using Fourier Series Methods
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    Chapter 4 Conditions for the Validity of F -Ratio Tests for Treatment and Carryover Effects in Crossover Designs
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    Chapter 5 Bias in Estimating the Variance of K -Fold Cross-Validation
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    Chapter 6 Effective Construction of Modified Histograms in Higher Dimensions
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    Chapter 7 On Robust Diagnostics at Individual Lags Using RA-ARX Estimators
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    Chapter 8 Bootstrap Confidence Intervals for Periodic Preventive Replacement Policies
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    Chapter 9 Statistics for Comparison of Two Independent cDNA Filter Microarrays
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    Chapter 10 Statistical Modeling and Analysis for Complex Data Problems
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    Chapter 11 Asymptotic Distribution of a Simple Linear Estimator for Varma Models in Echelon Form
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    Chapter 12 Recent Results for Linear Time Series Models with Non Independent Innovations
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    Chapter 13 Statistical Modeling and Analysis for Complex Data Problems
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    Chapter 14 Optimal Detection of Periodicities in Vector Autoregressive Models
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    Chapter 15 The Wilcoxon Signed-Rank Test for Cluster Correlated Data
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1 Wikipedia page

Citations

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26 Dimensions

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40 Mendeley
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Title
Statistical Modeling and Analysis for Complex Data Problems
Published by
Springer US, January 2005
DOI 10.1007/b105993
ISBNs
978-0-387-24555-3, 978-0-387-24554-6
Authors

Duchesne, Pierre, RÉMillard, Bruno

Editors

Duchesne, Pierre, RÉMillard, Bruno

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Belgium 1 3%
Canada 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 7 18%
Professor > Associate Professor 4 10%
Student > Master 4 10%
Student > Bachelor 3 8%
Other 9 23%
Unknown 4 10%
Readers by discipline Count As %
Engineering 8 20%
Computer Science 6 15%
Agricultural and Biological Sciences 3 8%
Environmental Science 3 8%
Mathematics 2 5%
Other 13 33%
Unknown 5 13%