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The functions found in this file serve as specialized means of obtaining a Latin hypercube sample from each of Matlab's supported continuous distribution types, subject to optional distribution parameters. This is dissimilar to Matlab's 'lhsdesign' in that this function allows the user to sample from a particular distribution type, choose appropriate distribution parameters, and select an iterative number of n x 1 runs of this sampling procedure. These functions supports a variable number of input arguments and the inputs are defined within the function according to the chosen distribution.
Created in Matlab version 2022a; expected compatibility all versions later than 2010b.
stratified random sampling, Matlab function, Monte Carlo methods, Latin hypercube sampling
stratified random sampling, Matlab function, Monte Carlo methods, Latin hypercube sampling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 29 | |
| downloads | 3 |

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