<p>The figure displays box-plots of estimates and their standard errors for the covariate effect on the log-odds of structural zeros for ZIP and ZINB method and on the log-odds of zeros for hurdle models from 1000 replications when <i>γ</i><sub>1</sub> = 0.4. For each box of the boxplots, the center line represents the median, the bottom line represents the 25th percentiles and the top line represents the 75th percentiles. The whiskers of the boxplots show 1.5 interquartile range (IQR) below the 25th percentiles and 1.5 IQR above the 75th percentiles, and outliers are represented by small circles. Panels <b>(A1)</b>, <b>(C1)</b> and <b>(E1)</b> show the estimates of <i>β</i><sub>1</sub> for consonant, neutral and dissonant effect case, resp...
<p>Figure of mean mass remaining versus standard deviation of replicates at each time point for 200 ...
<p>Means and standard deviations of 25 independent trials are given, and the curves displayed are fo...
<p>(a) </p><p></p><p><mi>P</mi><mo stretchy="false">[</mo><mi>A</mi><mo stretchy="false">]</mo><mo>=...
<p>The figure displays box-plots of estimates and their standard errors for <i>γ</i><sub>1</sub> fro...
<p>The figure displays box-plots of estimates and their standard errors for <i>γ</i><sub>1</sub> fro...
<p>The <i>X</i> axis is the value of the covariate effect on the count data <i>γ</i><sub>1</sub> and...
<p>In the simulation, the dispersion is simulated according to an NB2 (left panel) or an NBQ (right ...
<p>Scenario: <math><mi>N</mi><mi> </mi><mo>=</mo><mi> </mi><mn>10000</mn><mo>,</mo><mi> </mi><mi>m</...
<p>The AIC’s of different methods for data simulated under ZINB distribution with <i>ϕ</i><sub>c</su...
Boxplots: Summary of the effect of different variables used to build the virtual datasets on the per...
<p>Based on 400 simulated datasets from the model implemented in BASiCS with the same structure as i...
<p>Estimated values of <i>k̂</i> and confidence interval coverage for NB datasets. 10,000 datasets w...
<p>The <i>X</i> axis is the value of the covariate effect on the count data <i>γ</i><sub>1</sub> and...
<p>Matrix entries are for strategies [1, 2, 3] = [<i>o</i>, <i>b</i>, <i>y</i>]. In Panel (a) the co...
<p>Each boxplot summarizes the distribution of proportional error in the posterior predictive median...
<p>Figure of mean mass remaining versus standard deviation of replicates at each time point for 200 ...
<p>Means and standard deviations of 25 independent trials are given, and the curves displayed are fo...
<p>(a) </p><p></p><p><mi>P</mi><mo stretchy="false">[</mo><mi>A</mi><mo stretchy="false">]</mo><mo>=...
<p>The figure displays box-plots of estimates and their standard errors for <i>γ</i><sub>1</sub> fro...
<p>The figure displays box-plots of estimates and their standard errors for <i>γ</i><sub>1</sub> fro...
<p>The <i>X</i> axis is the value of the covariate effect on the count data <i>γ</i><sub>1</sub> and...
<p>In the simulation, the dispersion is simulated according to an NB2 (left panel) or an NBQ (right ...
<p>Scenario: <math><mi>N</mi><mi> </mi><mo>=</mo><mi> </mi><mn>10000</mn><mo>,</mo><mi> </mi><mi>m</...
<p>The AIC’s of different methods for data simulated under ZINB distribution with <i>ϕ</i><sub>c</su...
Boxplots: Summary of the effect of different variables used to build the virtual datasets on the per...
<p>Based on 400 simulated datasets from the model implemented in BASiCS with the same structure as i...
<p>Estimated values of <i>k̂</i> and confidence interval coverage for NB datasets. 10,000 datasets w...
<p>The <i>X</i> axis is the value of the covariate effect on the count data <i>γ</i><sub>1</sub> and...
<p>Matrix entries are for strategies [1, 2, 3] = [<i>o</i>, <i>b</i>, <i>y</i>]. In Panel (a) the co...
<p>Each boxplot summarizes the distribution of proportional error in the posterior predictive median...
<p>Figure of mean mass remaining versus standard deviation of replicates at each time point for 200 ...
<p>Means and standard deviations of 25 independent trials are given, and the curves displayed are fo...
<p>(a) </p><p></p><p><mi>P</mi><mo stretchy="false">[</mo><mi>A</mi><mo stretchy="false">]</mo><mo>=...