lsqfit Documentation¶
Contents:
- Overview and Tutorial
- Introduction
- Gaussian Random Variables and Error Propagation
- Basic Fits
- Chained Fits; Large Data Sets
x
has Errors- Correlated Parameters; Gaussian Bayes Factor
y
has No Error; Marginalization- SVD Cuts and Roundoff Error
- SVD Cuts and Inadequate Statistics
y
has Unknown Errors- Tuning Priors with the Empirical Bayes Criterion
- Positive Parameters; Non-Gaussian Priors
- Faster Fitters; Default Settings
- Debugging and Troubleshooting
- Non-Gaussian Behavior; Testing Fits
- Case Study: Simple Extrapolation
- Case Study: Numerical Analysis inside a Fit
- Case Study: Fitting a Spline
- Case Study: Outliers and Bayesian Integrals
lsqfit
- Nonlinear Least Squares Fitting- GSL Routines
scipy
Routines