<p>We plot the probability to report a correct answer <i>A</i> as a function of <i>n</i><sub><i>A</i></sub> − <i>n</i><sub><i>B</i></sub> for various (<i>n</i><sub><i>A</i></sub>, <i>n</i><sub><i>B</i></sub>) pairs: (a) Data set <i>D</i><sub>1</sub>, (b) Data set <i>D</i><sub>2</sub>. The circles correspond to the data. The solid curves indicate the best fits of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121332#pone.0121332.e003" target="_blank">Equation (3)</a>: (<i>p</i>, <i>s</i>) = (0.80, 0.75) in (a) and (0.82, 0.87) in (b).</p
Statistical hypothesis testing plays a central role in applied research to determine whether theorie...
<p>The likelihood function is depicted for the parameter <i>y</i>. The solid curve represents the ma...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...
<div><p>(A–C) The red, magenta, and blue curves and data points indicate respective quantities assoc...
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p><b>A</b>, Response curve of a Bayesian model with infinite noise in the representation of <i>L</i...
<p>For example, at <i>N</i> = 2, ⟨Δ<i>μ</i><sub><i>bin</i></sub>⟩ = ⟨<i>μ</i><sub><i>bin</i></sub>(2...
(A) Aspects of linear regression model assessed by model selection and model averaging (see Fig 1A)....
<p>(A) Overview: from the data, we compute both the statistic <i>H</i><sub><i>S</i></sub>(<i>d</i>) ...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
<p>The horizontal axis displays signed contrast (the sign gives the target interval, and the absolut...
<p>Density plot showing the uncertainty of the Bayesian Layman metrics (NR = δ<sup>15</sup>N range, ...
<p>The mean values of log posterior probability of data (lnL—isolated gray circles, left-axis [<a hr...
This article describes basic concepts of statistical estimation based on experimental data, includin...
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
Statistical hypothesis testing plays a central role in applied research to determine whether theorie...
<p>The likelihood function is depicted for the parameter <i>y</i>. The solid curve represents the ma...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...
<div><p>(A–C) The red, magenta, and blue curves and data points indicate respective quantities assoc...
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p><b>A</b>, Response curve of a Bayesian model with infinite noise in the representation of <i>L</i...
<p>For example, at <i>N</i> = 2, ⟨Δ<i>μ</i><sub><i>bin</i></sub>⟩ = ⟨<i>μ</i><sub><i>bin</i></sub>(2...
(A) Aspects of linear regression model assessed by model selection and model averaging (see Fig 1A)....
<p>(A) Overview: from the data, we compute both the statistic <i>H</i><sub><i>S</i></sub>(<i>d</i>) ...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
<p>The horizontal axis displays signed contrast (the sign gives the target interval, and the absolut...
<p>Density plot showing the uncertainty of the Bayesian Layman metrics (NR = δ<sup>15</sup>N range, ...
<p>The mean values of log posterior probability of data (lnL—isolated gray circles, left-axis [<a hr...
This article describes basic concepts of statistical estimation based on experimental data, includin...
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
Statistical hypothesis testing plays a central role in applied research to determine whether theorie...
<p>The likelihood function is depicted for the parameter <i>y</i>. The solid curve represents the ma...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...