<p>A) Maximum likelihood estimate density with respect to distance for Malaysian data. B) Maximum likelihood distance pdf. C) The log-likelihood surface with respect to kernel parameters <i>a</i> and <i>b</i>, coloured points highlight the MLE (black, log-likelihood = -328) and examples of extreme 95% CI (green, light blue, dark blue and mauve) kernel parameter combinations. The dotted line demarks the 95% confidence interval contour. Solid black contour lines are at intervals of 10 log-likelihood. Examples of D) distance densities and E) distance pdf from the 95% confidence interval range corresponding to the coloured points shown in panel C.</p
Calculates mean for random samples of 6 individuals per status in each array. Fits linear mixed mode...
<p>In each stand, observed seed dispersal is represented by dotted line, confidence intervals are de...
<p>Kernel density plots of detections of (A) encroachment camps and (B) snares in relation to distan...
<p>A comparison of the A) distance pdf and B) density with respect to distance for estimates using M...
<p>From left to right: kernels with the minimum, lower quartile, median, upper quartile and maximum ...
<p>Distance spread (up to 100 km) from the first introduction point around Nanjing (Panel A). Correc...
<p><b>A–D</b> Estimated kernels for the exponential model (orange lines) and the Cauchy model (cyan ...
<p>(A–B) Mean dispersal ability: During the invasion, the dispersal ability at the front is higher t...
Calculates standard deviation and maximum for random samples of 6 individuals per status in each arr...
Calculates mean, standard deviation, skew, kurtosis, and maximum for random samples of 6 individuals...
Description of the estimation of the dispersal-distance probability density function using maximum l...
<p>Examples of different kernel interpretations for the negative exponential (A, B and C) and expone...
<p>δ<sub>s</sub> = 0.20 (plain line), δ<sub>s</sub> = 1.00 (dashed line) and δ<sub>s</sub> = 3.54 ( ...
<p>GLM coefficient estimates and associated standard errors, t-values and p-values from the optimal ...
Summary of parameter estimates, negative log-likelihood score, and Akaike's Information Criterion (A...
Calculates mean for random samples of 6 individuals per status in each array. Fits linear mixed mode...
<p>In each stand, observed seed dispersal is represented by dotted line, confidence intervals are de...
<p>Kernel density plots of detections of (A) encroachment camps and (B) snares in relation to distan...
<p>A comparison of the A) distance pdf and B) density with respect to distance for estimates using M...
<p>From left to right: kernels with the minimum, lower quartile, median, upper quartile and maximum ...
<p>Distance spread (up to 100 km) from the first introduction point around Nanjing (Panel A). Correc...
<p><b>A–D</b> Estimated kernels for the exponential model (orange lines) and the Cauchy model (cyan ...
<p>(A–B) Mean dispersal ability: During the invasion, the dispersal ability at the front is higher t...
Calculates standard deviation and maximum for random samples of 6 individuals per status in each arr...
Calculates mean, standard deviation, skew, kurtosis, and maximum for random samples of 6 individuals...
Description of the estimation of the dispersal-distance probability density function using maximum l...
<p>Examples of different kernel interpretations for the negative exponential (A, B and C) and expone...
<p>δ<sub>s</sub> = 0.20 (plain line), δ<sub>s</sub> = 1.00 (dashed line) and δ<sub>s</sub> = 3.54 ( ...
<p>GLM coefficient estimates and associated standard errors, t-values and p-values from the optimal ...
Summary of parameter estimates, negative log-likelihood score, and Akaike's Information Criterion (A...
Calculates mean for random samples of 6 individuals per status in each array. Fits linear mixed mode...
<p>In each stand, observed seed dispersal is represented by dotted line, confidence intervals are de...
<p>Kernel density plots of detections of (A) encroachment camps and (B) snares in relation to distan...