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XploRe — Learning Guide
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Getting Started
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Chapter 2
Descriptive Statistics
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Chapter 3
Graphics
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Chapter 4
Regression Methods
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Chapter 5
Teachware Quantlets
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Chapter 6
Smoothing Methods
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Chapter 7
Generalized Linear Models
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Chapter 8
Neural Networks
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Chapter 9
Time Series
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Chapter 10
Kalman Filtering
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Chapter 11
Finance
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Chapter 12
Microeconometrics and Panel Data
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Chapter 13
Extreme Value Analysis
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Chapter 14
Wavelets
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Chapter 15
Reading and Writing Data
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Chapter 16
Matrix Handling
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Chapter 17
Quantlets and Quantlibs
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
33
Dimensions
Readers on
mendeley
11
Mendeley
Book overview
1. Getting Started
2. Descriptive Statistics
3. Graphics
4. Regression Methods
5. Teachware Quantlets
6. Smoothing Methods
7. Generalized Linear Models
8. Neural Networks
9. Time Series
10. Kalman Filtering
11. Finance
12. Microeconometrics and Panel Data
13. Extreme Value Analysis
14. Wavelets
15. Reading and Writing Data
16. Matrix Handling
17. Quantlets and Quantlibs
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
5
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Humboldt Universität Berlin
5
Business