<p>The analysis shows that given the sample sizes and MLE model-parameter values, (a) the probability of failing to identify power-law structure when power-law structure is present (type II error) is unlikely and (b) the probability of spuriously identifying power-law structure given normal, exponential, or lognormal data (type I error) is also unlikely. See also <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140127#pone.0140127.s005" target="_blank">S2 Table</a>.</p
A general maximum likelihood estimation (MLE) method is given to analyze experimental data with a po...
International audienceABSTRACT: BACKGROUND: Log-linear association models have been extensively used...
Most standard methods based on maximum likelihood (ML) estimates of power-law exponents can only be ...
<p>The analysis shows that given the sample sizes and MLE model-parameter values (a) the probability...
<p>*Plausible models at p > 0.10.</p><p><sup>a</sup>In some cases, the methods described above yield...
<p>For each degree distribution we give a p-value for the fit to the power-law model and likelihood ...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
This short communication uses a simple experiment to show that fitting to a power law distribution b...
Confirmatory factor analysis method is usually used in psychological surveys to evaluate the constru...
We study similar statistical properties observed in distinct real world data. In particular, we focu...
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
Rex Stanford (2003) recently noted "the wisdom of performing a power analysis prior to attempti...
<p>At top are shown results the two experiments in Burgmer & Englich [<a href="http://www.plosone.or...
<p>The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in <a href="htt...
Power-law distributions describe many phenomena related to rock fracture. Data collected to measure ...
A general maximum likelihood estimation (MLE) method is given to analyze experimental data with a po...
International audienceABSTRACT: BACKGROUND: Log-linear association models have been extensively used...
Most standard methods based on maximum likelihood (ML) estimates of power-law exponents can only be ...
<p>The analysis shows that given the sample sizes and MLE model-parameter values (a) the probability...
<p>*Plausible models at p > 0.10.</p><p><sup>a</sup>In some cases, the methods described above yield...
<p>For each degree distribution we give a p-value for the fit to the power-law model and likelihood ...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
This short communication uses a simple experiment to show that fitting to a power law distribution b...
Confirmatory factor analysis method is usually used in psychological surveys to evaluate the constru...
We study similar statistical properties observed in distinct real world data. In particular, we focu...
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
Rex Stanford (2003) recently noted "the wisdom of performing a power analysis prior to attempti...
<p>At top are shown results the two experiments in Burgmer & Englich [<a href="http://www.plosone.or...
<p>The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in <a href="htt...
Power-law distributions describe many phenomena related to rock fracture. Data collected to measure ...
A general maximum likelihood estimation (MLE) method is given to analyze experimental data with a po...
International audienceABSTRACT: BACKGROUND: Log-linear association models have been extensively used...
Most standard methods based on maximum likelihood (ML) estimates of power-law exponents can only be ...