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Frontiers in Statistical Quality Control 11

Overview of attention for book
Cover of 'Frontiers in Statistical Quality Control 11'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest
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    Chapter 2 Some Recent Results on Monitoring the Rate of a Rare Event
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    Chapter 3 Statistical Perspectives on “Big Data”
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    Chapter 4 Statistical Control of Multiple-Stream Processes: A Literature Review
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    Chapter 5 Regenerative Likelihood Ratio Control Schemes
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    Chapter 6 Variance Charts for Time Series: A Comparison Study
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    Chapter 7 On ARL-Unbiased Control Charts
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    Chapter 8 Optimal Cumulative Sum Charting Procedures Based on Kernel Densities
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    Chapter 9 A Simple Approach for Monitoring Process Mean and Variance Simultaneously
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    Chapter 10 Comparison of Phase II Control Charts Based on Variable Selection Methods
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    Chapter 11 The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring
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    Chapter 12 Strategies to Reduce the Probability of a Misleading Signal
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    Chapter 13 Characteristics of Economically Designed CUSUM and \bar{X} Control Charts
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    Chapter 14 SPC of Processes with Predicted Data: Application of the Data Mining Methodology
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    Chapter 15 Shewhart’s Idea of Predictability and Modern Statistics
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    Chapter 16 Sampling Inspection by Variables with an Additional Acceptance Criterion
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    Chapter 17 Fractional Acceptance Numbers for Lot Quality Assurance
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    Chapter 18 Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs with Applications to Photovoltaics
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    Chapter 19 An Overview of Designing Experiments for Reliability Data
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    Chapter 20 Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs
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    Chapter 21 Bayesian Lasso with Effect Heredity Principle
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    Chapter 22 Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data
  24. Altmetric Badge
    Chapter 23 Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring Can Dominate the Proper One Even for Massive Data Sets
Attention for Chapter 18: Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs with Applications to Photovoltaics
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  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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3 X users

Citations

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Chapter title
Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs with Applications to Photovoltaics
Chapter number 18
Book title
Frontiers in Statistical Quality Control 11
Published in
arXiv, January 2015
DOI 10.1007/978-3-319-12355-4_18
Book ISBNs
978-3-31-912354-7, 978-3-31-912355-4
Authors

Ansgar Steland

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Mathematics 2 33%
Environmental Science 1 17%
Engineering 1 17%
Unknown 2 33%
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 12 February 2014.
All research outputs
#15,293,290
of 22,743,667 outputs
Outputs from arXiv
#372,596
of 933,389 outputs
Outputs of similar age
#208,709
of 352,848 outputs
Outputs of similar age from arXiv
#2,700
of 11,052 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 933,389 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 352,848 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11,052 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.