Lectures 12: Bootstrap II.
bootstrap and its statistics reviewed
error on nonlinear function of fitted parameters?
I. Linearized error propagation
Linearized error propagation
Sampling the posterior histogram
Sampling the posterior histogram
comparison of linear propagation and posterior sampling:
bootstrap sampling
bootstrap sampling
bootstrap sampling
bootstrap sampling
statistics reviewed
statistics reviewed
α=3 β=1 a parameter θ on F: θ=mean/median
F distributions
statistics reviewed
α=3 β=1 a parameter θ on F: θ=mean/median
bootstrap sampling
F distributionF distribution^
θ=
➙θ parameterθ statistic^
statistics reviewed
statistics reviewed
statistics reviewed
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap review and bias
bootstrap sampling
bootstrap sampling
bootstrap sampling