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lsqfit 4.8.1 documentation
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lsqfit Documentation
¶
Contents:
Overview and Tutorial
Introduction
Gaussian Random Variables and Error Propagation
Basic Fits
Chained Fits
x
has Error Bars
Correlated Parameters; Gaussian Bayes Factor
Tuning Priors and the Empirical Bayes Criterion
Partial Errors and Error Budgets
y
has No Error Bars
SVD Cuts and Roundoff Error
Bootstrap Error Analysis
Testing Fits with Simulated Data
Positive Parameters
Troubleshooting
Appendix: A Simple Pedagogical Example
gvar
- Gaussian Random Variables
Introduction
Creating Gaussian Variables
gvar.GVar
Arithmetic and Functions
Error Budgets from
gvar.GVar
s
Storing
gvar.GVar
s for Later Use:
gvar.BufferDict
s
Random Number Generators
Limitations
Optimizations
Utilities
Classes
Requirements
gvar.dataset
- Random Data Sets
Introduction
Functions
Classes
Numerical Analysis Modules in
gvar
Cubic Splines
Ordinary Differential Equations
Power Series
lsqfit
- Nonlinear Least Squares Fitting
Introduction
Formal Background
nonlinear_fit Objects
Functions
Utility Classes
Requirements
Indices and tables
¶
Index
Module Index
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Table Of Contents
lsqfit Documentation
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