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Large Sample Techniques for Statistics
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
The ε - δ Arguments
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Chapter 2
Modes of Convergence
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Chapter 3
Big O , Small o , and the Unspecified c
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Chapter 4
Asymptotic Expansions
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Chapter 5
Inequalities
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Chapter 6
Sums of Independent Random Variables
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Chapter 7
Empirical Processes
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Chapter 8
Martingales
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Chapter 9
Time and Spatial Series
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Chapter 10
Stochastic Processes
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Chapter 11
Nonparametric Statistics
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Chapter 12
Mixed Effects Models
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Chapter 13
Small-Area Estimation
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Chapter 14
Jackknife and Bootstrap
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Chapter 15
Markov-Chain Monte Carlo
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
wikipedia
1
Wikipedia page
Citations
dimensions_citation
88
Dimensions
Readers on
mendeley
75
Mendeley
Book overview
1. The ε - δ Arguments
2. Modes of Convergence
3. Big O , Small o , and the Unspecified c
4. Asymptotic Expansions
5. Inequalities
6. Sums of Independent Random Variables
7. Empirical Processes
8. Martingales
9. Time and Spatial Series
10. Stochastic Processes
11. Nonparametric Statistics
12. Mixed Effects Models
13. Small-Area Estimation
14. Jackknife and Bootstrap
15. Markov-Chain Monte Carlo
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
The University of Texas at Dallas
3
Business