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XploRe® — Application Guide
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Quantile Regression
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Chapter 2
Least Trimmed Squares
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Chapter 3
Errors-in-Variables Models
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Chapter 4
Simultaneuos-Equations Models
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Chapter 5
Hazard Regression
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Chapter 6
Generalized Partial Linear Models
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Chapter 7
Generalized Additive Models
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Chapter 8
Growth Regression and Counterfactual Income Dynamics
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Chapter 9
Cluster Analysis
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Chapter 10
Classification and Regression Trees
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Chapter 11
DPLS—Partial Least Squares Program for Dynamic Path Models
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Chapter 12
Uncovered Interest Parity What can we learn from panel data?
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Chapter 13
Correspondence Analysis
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Chapter 14
Long-Memory Analysis
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Chapter 15
ExploRing Persistence in Financial Time Series
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Chapter 16
Flexible Time Series Analysis
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Chapter 17
Multiple Time Series Analysis
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Chapter 18
Robust Kalman Filtering
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
25
Dimensions
Readers on
mendeley
26
Mendeley
Book overview
1. Quantile Regression
2. Least Trimmed Squares
3. Errors-in-Variables Models
4. Simultaneuos-Equations Models
5. Hazard Regression
6. Generalized Partial Linear Models
7. Generalized Additive Models
8. Growth Regression and Counterfactual Income Dynamics
9. Cluster Analysis
10. Classification and Regression Trees
11. DPLS—Partial Least Squares Program for Dynamic Path Models
12. Uncovered Interest Parity What can we learn from panel data?
13. Correspondence Analysis
14. Long-Memory Analysis
15. ExploRing Persistence in Financial Time Series
16. Flexible Time Series Analysis
17. Multiple Time Series Analysis
18. Robust Kalman Filtering
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
2
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Humboldt Universität Berlin
2
Business