PyQRS
PyQRS
PyQRS (Probabilities, Quantiles and Random Samples) is a tool for calculating probabilities and quantiles associated with more than 30 probability distributions.
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Included are:
Discrete distributions | Continuous distributions | |
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binomial | normal (gaussian) | inverse gaussian |
Bernoulli | t | non-central t |
hypergeometric | chi-square | non-central chi-square |
discrete-uniform | F | non-central F |
negative-binomial | beta | non-central beta |
geometric | gamma | Cauchy |
Poisson | exponential | Gumbel |
Mann-Whitney | double-exponential (Laplace) | Pareto |
Wilcoxon rank-sum | logistic | Weibull |
Wilcoxon signed rank | log-normal | triangular |
folded-normal | uniform |
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Quantiles and probabilities are displayed and edited in their natural position relative to the probability (density) graph. This makes PyQRS very easy to use.
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Also the cumulative distribution function is shown.
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In addition, random samples can be drawn.
It is also possible to find an unknown parameter value, given the distribution name, given the remaining parameter value(s), given the \(x\)-value and given the cumulative probability at \(x\).