Search results
Results from the WOW.Com Content Network
A collapsible element contains a toggle a reader can use to show or hide the element's content. Elements are made collapsible by adding the mw-collapsible class, or alternatively by using the {} template, or its variants {{Collapse top}} and {{Collapse bottom}}.
The block bootstrap is used when the data, or the errors in a model, are correlated. In this case, a simple case or residual resampling will fail, as it is not able to replicate the correlation in the data. The block bootstrap tries to replicate the correlation by resampling inside blocks of data (see Blocking (statistics)). The block bootstrap ...
The best example of the plug-in principle, the bootstrapping method. Bootstrapping is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, proportion, odds ratio ...
Place this template at the bottom of appropriate articles in statistics: {{Statistics}} For most articles transcluding this template, the name of that section of the template most relevant to the article (usually where a link to the article itself is found) should be added as a parameter.
Produces an HTML list that can be collapsed Template parameters [Edit template data] This template prefers block formatting of parameters. Parameter Description Type Status Title title The list's title (Always in view beside the list's [show/hide] link). String suggested Horizontal list hlist Use value 'on' or 'true' to produce a horizontal rather than vertical list Suggested values on true ...
Creates a collapsible box that allows its content to be hidden or revealed on user's command. It is used to reduce clutter. Template parameters [Edit template data] Parameter Description Type Status Contents 1 content text Contents of the box Content required Title 2 title heading header reason result Text of title bar. Defaults to "Extended contents". Default Extended content String suggested ...
Figure 1. A simple bimodal distribution, in this case a mixture of two normal distributions with the same variance but different means. The figure shows the probability density function (p.d.f.), which is an equally-weighted average of the bell-shaped p.d.f.s of the two normal distributions.
On the other hand, analyzing the genetic (or whole genome) sequence data requires specialized computational methods to fit models of transmission. Consequently, molecular source attribution is a highly interdisciplinary area of molecular epidemiology that incorporates concepts and skills from mathematical statistics and modeling, microbiology ...