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Chapters
Richie Slocum edited this page Jun 7, 2017
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This chapter will introduce error theory, the distribution of errors, co-variances, and methods for propagating errors
- Confidence Intervals
- PDF and CDF
- Covariance Matrices
- Error Ellipses
- SLOPOV
- GLOPOV
- Monte Carlo
- PDF Propagation
This chapter will be a short reference with lists of statistical tests, when to use them, and especially their assumptions.
- chi squared
- 2 sigma
- etc
This chapter will introduce least squares and give many examples of how to implement the methodology. Assumptions and pitfalls are really important.
- Linear (OLS, WLS, GLS)
- Nonlinear
- Total Least Squares (Iterative Reweighted GLOPOV)
- Robust Least Squares
This will introduce the concept of RANSAC and give examples