Appendices
D
Analysis of precipitation extremes and climate projections
Research Scientist Guide
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Preface
1
Statistics & Mathematics
2
Data Structures and Algorithms
3
Data Pipeline
4
Machine Learning Models
5
Deep Learning Models
6
Time-Series Analysis and Models
7
Trend Detection
8
Time Series Regression with Trends
9
Deep Reinforcement Learning
10
Causal Analysis Using Time Series
11
Panel Data Analysis
12
Model Evaluation and Forecasting
13
Spectral Analysis
References
Appendices
A
Weighted least squares
B
Generalized least squares
C
Synchrony of parametric trends
D
Analysis of precipitation extremes and climate projections
E
Practice exercises
Appendices
D
Analysis of precipitation extremes and climate projections
Appendix D — Analysis of precipitation extremes and climate projections
Text
C
Synchrony of parametric trends
E
Practice exercises