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We've expanded our Perl news coverage and improved our search! Search for all things Perl across O'Reilly! Statistics Math::CDF Math::CDF gives probabilities and quantiles from several statistical probability functions, including the normal distribution, t-dist, F-dist and others. Non-centrality functions are available for some distributions. The module is an interface to the DCDFLIB library of C programs. The DCDFLIB source is included with the Math::CDF module with permission of its authors. Statistics::ChiSquare How random is your data? The Chi Square test tells you. Statistics::Descriptive Commonly used statistical methods: mean, variance, standard deviation, least squares fit, and so on. Statistics::LTU A module for manipulating Linear Threshold Units, also called perceptrons, which are neural networks with no hidden layers. Statistics::MaxEntropy Object-oriented implementation of Generalised Iterative Scaling algorithm, Improved Iterative Scaling algorithm, and Feature Induction algorithm for inducing maximum entropy probability distributions. Statistics::OLS Statistics::OLS (Ordinary Least Squares) computes the estimated slope and intercept of the regression line, their T-statistics, R squared, standard error of the regression and the Durbin-Watson statistic. It can also return the residuals. Statistics::ROC Statistics::ROC (receiver-operator-characteristic) determines the ROC curve and its nonparametric confidence bounds for data categorized into two groups. A ROC curve shows the relationship of probability of false alarm (x-axis) to probability of detection (y-axis) for a certain test. Expressed in medical terms: the probability of a positive test, given no disease> to the probability of a positive test, given disease. The ROC curve may be used to determine an optimal cutoff point for the test.
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