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Statistics
Environmental Statistics
1. Introduction to Environmental Statistics
2. Foundational Statistical Concepts
3. Environmental Data Collection and Study Design
4. Exploratory Data Analysis for Environmental Data
5. Modeling Environmental Data
6. Analysis of Temporally Correlated Data
7. Analysis of Spatially Correlated Data
8. Spatio-Temporal Statistics
9. Advanced Topics and Applications
10. Bayesian Methods in Environmental Science
11. Communication and Regulatory Statistics
12. Quality Assurance and Quality Control
13. Software and Computational Tools
Analysis of Temporally Correlated Data
Introduction to Time Series Analysis
Components of a Time Series
Trend
Seasonality
Cyclical Variation
Irregular Variation
Stationarity
Definition and Importance
Testing for Stationarity
Augmented Dickey-Fuller Test
KPSS Test
Autocorrelation and Partial Autocorrelation Functions
Interpretation
Use in Model Selection
Time Domain Models
Autoregressive Models
Model Specification
Parameter Estimation
Order Selection
Moving Average Models
Model Structure
Parameter Estimation
ARMA and ARIMA Models
Model Identification
Model Fitting
Forecasting
Seasonal ARIMA Models
Frequency Domain Models
Spectral Analysis
Periodogram
Frequency Components
Spectral Density
Trend and Change Point Detection
Mann-Kendall Test
Non-parametric Trend Detection
Seasonal Mann-Kendall Test
Intervention Analysis
Assessing Impact of Events
Change Point Detection Methods
CUSUM Methods
Structural Break Tests
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5. Modeling Environmental Data
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7. Analysis of Spatially Correlated Data