Population and Ecological Models
 
 
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  Using SmartStats ©  

Smartstats © Menu Form

This is an example start-up menu for the statistical models offered on this website.

All statistical models are linked to a parameter estimation and evaluation infrastructure called SmartStats © and use this menu to access SmartStats' © options.

The key elements of the SmartStats' © menu are introduced on this page.

Some models may present a variant of this form, while others, e.g., Sample Simon, do not use SmartStats ©.

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  1] Initialize model
All Visual Basic © statistical models offered on this website begin when the user clicks on 'Initialize model' on the SmartStats © menu form (seen to the right).
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  2] Algorithm files (*.alg)
Algorithm files are text files that retain information on parameter definitions, values, step sizes, etc., for specific models.
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  3] One function call
'1 Function call' calculates the value of the likelihood function for the current parameter estimates of the active model.
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  4] Minimizing with the 'simplex' algorithm
The 'simplex' algorithm undertakes a geometric search for the maximum-likelihood parameter estimates.
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  5] Minimizing with Marquardt's algorithm
Marquardt's algorithm undertakes a derivative-based search for the maximum-likelihood parameter estimates.
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  6] Calculating covariances(*.cov)
Analytical or numerical derivatives are used to calculate the Hessian matrix, which when inverted provides a covariance matrix of the free (i.e., estimated) parameters.
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  7] Setting Bayesian priors (*.pri)
An opportunity is provided to apply a menu of Bayesian prior probability distributions, and their means and variances, to model parameters.
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  8] Calculating likelihood profiles
An opportunity is offered to calculate likelihood profiles for specified parameters.
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  9] Calculating Bayesian posterior distributions
An opportunity is offered to calculate Bayesian posterior distributions for specified parameters.
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  10] Single model results summary (*.sso)
Depending upon how the specific model results were coded for output, a 'Single model results summary' can generally be output and saved as comma delimited text, and/or graphically.
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  11] Multi-model statistics
Competing model fits, for which their associated algorithm and covariance files have been saved, can be ranked, AICc weighted, and their corresponding parameter values and SEs averaged.
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  12] Quit
Choose to end your SmartStats © session.
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