Distribution Functions Density Probability Quantile Random Numbers and Faq how are error bars calculated regression model: Difference between pages

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:[[betadf]]      - Beta
===Issue:===
:[[cauchydf]]    - Cauchy
 
:[[chidf]]        - Chi-squared
How are the error bars calculated for a regression model and can they be related to a confidence limit (confidence in the prediction)?
:[[expdf]]        - Exponential
 
:[[gammadf]]      - Gamma
===Possible Solutions:===
:[[gumbeldf]]    - Gumbel
 
:[[laplacedf]]   - Laplace (double exponential)
The error bars reported for inverse least squares models (and from the [[Ils_esterror]] function) represent the estimation error for each prediction, see:
:[[lognormdf]]    - Lognormal
 
:[[logisdf]]      - Logistic
Faber, N.M. and Bro, R., Chemomem. and Intell. Syst., 61, 133-149 (2002)
:[[normdf]]      - Normal (gaussian)
 
:[[paretodf]]    - Pareto
They can be read as a standard deviation of the estimate. However because the underlying distribution is not clearly known (and is a matter of research), a confidence limit is not reported.
:[[raydf]]        - Rayleigh
 
:[[tdf]]          - Student's t
 
:[[triangledf]]  - Triangle
'''Still having problems? Please contact our helpdesk at [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com]'''
:[[unifdf]]      - Continuous uniform
 
:[[weibulldf]]    - Weibull
[[Category:FAQ]]
(Sub topic of [[Distribution_Fitting_Tools|Distribution_Fitting_Tools]])

Revision as of 12:07, 5 December 2018

Issue:

How are the error bars calculated for a regression model and can they be related to a confidence limit (confidence in the prediction)?

Possible Solutions:

The error bars reported for inverse least squares models (and from the Ils_esterror function) represent the estimation error for each prediction, see:

Faber, N.M. and Bro, R., Chemomem. and Intell. Syst., 61, 133-149 (2002)

They can be read as a standard deviation of the estimate. However because the underlying distribution is not clearly known (and is a matter of research), a confidence limit is not reported.


Still having problems? Please contact our helpdesk at helpdesk@eigenvector.com