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Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML , CSS and (optionally) JavaScript -based design templates for typography , forms , buttons , navigation , and other interface components.
Percentage bar {{bar percent|row label|colour|value (width in percents)|optional value label}} If value label is not provided, it is constructed from the percentage and "%". This bar type also has the {{bar percent 2}} and {{bar percent 3}} variations which display more bars for the same row label. Pixel bar
In kinematics, an eight-bar linkage is a mechanism with one degree of freedom that is constructed from eight links and ten joints. [1] These linkages are rare compared to four-bar and six-bar linkages , but two well-known examples are the Peaucellier linkage and the linkage designed by Theo Jansen for his walking machines.
The computer term bootstrap began as a metaphor in the 1950s. In computers, pressing a bootstrap button caused a hardwired program to read a bootstrap program from an input unit. The computer would then execute the bootstrap program, which caused it to read more program instructions.
The bootstrap dataset is made by randomly picking objects from the original dataset. Also, it must be the same size as the original dataset. However, the difference is that the bootstrap dataset can have duplicate objects. Here is a simple example to demonstrate how it works along with the illustration below:
OpenSceneGraph is an open-source 3D graphics application programming interface (library or framework), [2] used by application developers in fields such as visual simulation, computer games, virtual reality, scientific visualization and modeling.
Subsampling is an alternative method for approximating the sampling distribution of an estimator. The two key differences to the bootstrap are: the resample size is smaller than the sample size and; resampling is done without replacement. The advantage of subsampling is that it is valid under much weaker conditions compared to the bootstrap.
The simplest bootstrap method involves taking the original data set of heights, and, using a computer, sampling from it to form a new sample (called a 'resample' or bootstrap sample) that is also of size N. The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and ...