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Fundamentals of Modern Statistical Methods : Substantially Improving Power and Accuracy
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Getting Started
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Chapter 3
The Normal Curve and Outlier Detection
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Chapter 4
Accuracy and Inference
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Chapter 5
Hypothesis Testing and Small Sample Sizes
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Chapter 6
The Bootstrap
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Chapter 7
A Fundamental Problem
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Chapter 8
Robust Measures of Location
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Chapter 9
Inferences About Robust Measures of Location
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Chapter 10
Measures Of Association
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Chapter 11
Robust Regression
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Chapter 12
Alternative Strategies and Software
Overall attention for this book and its chapters
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Mentioned by
blogs
2
blogs
twitter
3
X users
syllabi
1
institution with syllabi
q&a
1
Q&A thread
Citations
dimensions_citation
296
Dimensions
Readers on
mendeley
268
Mendeley
Book overview
1. Introduction
2. Getting Started
3. The Normal Curve and Outlier Detection
4. Accuracy and Inference
5. Hypothesis Testing and Small Sample Sizes
6. The Bootstrap
7. A Fundamental Problem
8. Robust Measures of Location
9. Inferences About Robust Measures of Location
10. Measures Of Association
11. Robust Regression
12. Alternative Strategies and Software
Summary
Blogs
X
Syllabi
Q&A
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
8
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
George Mason University
8
Business