Add to ORKGSample sizes affect identification of important inputs for computer models. For illustrative purposes, a partial differential equations model with 84 input variables is used to investigate the behavior of R{sub 2} as an importance indicator for various sample sizes and designs
In traditional research, repeated measurements lead to a sample of results, and inferential statisti...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
<p>Model-averaged estimates of the direction and magnitude of each effect size, and relative variabl...
A common question asked by researchers using regression models is, What sample size is needed for my...
Variable importance measured as the scaled mean decrease in accuracy of each variable in the Baselin...
This study presents an importance sampling method for assessing system performance using stochastic ...
Importance of variables as measured by partial Wald χ2 minus the predictor degrees of freedom in the...
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
In traditional research, repeated measurements lead to a sample of results, and inferential statisti...
A Monte Carlo simulation study was conducted to investigate the effects of sample size, estimation m...
There are several misconceptions when interpreting the values of the coefficient of determination, R...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
<p>Model parameter feature importances as estimated by a random forest regression over a broad surve...
We produce reasons and evidence supporting the informal rule that the number of runs for an effectiv...
In traditional research, repeated measurements lead to a sample of results, and inferential statisti...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
<p>Model-averaged estimates of the direction and magnitude of each effect size, and relative variabl...
A common question asked by researchers using regression models is, What sample size is needed for my...
Variable importance measured as the scaled mean decrease in accuracy of each variable in the Baselin...
This study presents an importance sampling method for assessing system performance using stochastic ...
Importance of variables as measured by partial Wald χ2 minus the predictor degrees of freedom in the...
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
In traditional research, repeated measurements lead to a sample of results, and inferential statisti...
A Monte Carlo simulation study was conducted to investigate the effects of sample size, estimation m...
There are several misconceptions when interpreting the values of the coefficient of determination, R...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
<p>Model parameter feature importances as estimated by a random forest regression over a broad surve...
We produce reasons and evidence supporting the informal rule that the number of runs for an effectiv...
In traditional research, repeated measurements lead to a sample of results, and inferential statisti...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...
International audienceThe focus is on treating the relationship between a dependent variable $y$ and...