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
  • Debugging and Troubleshooting
• Non-Gaussian Behavior; Testing Fits
  • Introduction
  • Bootstrap Error Analysis; Non-Gaussian Output
  • Bayesian Integrals
  • Testing Fits with Simulated Data
  • Goodness of Fit
  • Fit Residuals and Q-Q Plots
• Case Study: Simple Extrapolation
  • The Problem
  • A Bad Solution
  • A Better Solution — Priors
  • Bayes Factors
  • Another Solution — Marginalization
• Case Study: Numerical Analysis inside a Fit
  • The Problem
  • Pendulum Dynamics
  • Two Types of Input Data
• Case Study: Fitting a Spline
  • The Problem
  • Spline Fit
• Case Study: Outliers and Bayesian Integrals
  • The Problem
  • A Solution
  • A Variation
• lsqfit - Nonlinear Least Squares Fitting
  • Introduction
  • nonlinear_fit Objects
  • Functions
  • Classes for Bayesian Integrals
  • lsqfit.MultiFitter Classes
  • References
  • Requirements
• GSL Routines
  • Fitters
  • Minimizer
• scipy Routines
  • Fitter
  • Minimizer

Indices and tables

• Index

• Module Index

• Search Page