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New Advances in Statistics and Data Science

Overview of attention for book
Cover of 'New Advances in Statistics and Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Distances and Their Role in Robustness
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    Chapter 2 The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures
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    Chapter 3 Meta-Analysis for Rare Events As Binary Outcomes
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    Chapter 4 New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling
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    Chapter 5 Testing of Multivariate Spline Growth Model
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    Chapter 6 Uncertainty Quantification Using the Nearest Neighbor Gaussian Process
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    Chapter 7 Tuning Parameter Selection in the LASSO with Unspecified Propensity
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    Chapter 8 Adaptive Filtering Increases Power to Detect Differentially Expressed Genes
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    Chapter 9 Estimating Parameters in Complex Systems with Functional Outputs: A Wavelet-Based Approximate Bayesian Computation Approach
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    Chapter 10 A Maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood
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    Chapter 11 A Simple and Efficient Statistical Approach for Designing an Early Phase II Clinical Trial: Ordinal Linear Contrast Test
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    Chapter 12 Landmark-Constrained Statistical Shape Analysis of Elastic Curves and Surfaces
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    Chapter 13 Phylogeny-Based Kernels with Application to Microbiome Association Studies
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    Chapter 14 Accounting for Differential Error in Time-to-Event Analyses Using Imperfect Electronic Health Record-Derived Endpoints
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    Chapter 15 Modeling Inter-Trade Durations in the Limit Order Market
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    Chapter 16 Assessment of Drug Interactions with Repeated Measurements
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    Chapter 17 Statistical Indices for Risk Tracking in Longitudinal Studies
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    Chapter 18 Statistical Analysis of Labor Market Integration: A Mixture Regression Approach
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    Chapter 19 Bias Correction in Age-Period-Cohort Models Using Eigen Analysis
Attention for Chapter 2: The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures
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Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

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5 Mendeley
Summary X Dimensions citations
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Chapter title
The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures
Chapter number 2
Book title
New Advances in Statistics and Data Science
Published in
arXiv, January 2017
DOI 10.1007/978-3-319-69416-0_2
Book ISBNs
978-3-31-969415-3, 978-3-31-969416-0
Authors

Georgios Afendras, Marianthi Markatou

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Psychology 1 20%
Medicine and Dentistry 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 December 2016.
All research outputs
#17,842,847
of 22,919,505 outputs
Outputs from arXiv
#441,216
of 941,315 outputs
Outputs of similar age
#293,502
of 420,541 outputs
Outputs of similar age from arXiv
#8,683
of 16,540 outputs
Altmetric has tracked 22,919,505 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 941,315 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16,540 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.

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