distribution

Generate random numbers following a normal distribution in C/C++

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There are many methods to generate Gaussian-distributed numbers from a regular RNG. The Box-Muller transform is commonly used. It correctly produces values with a normal distribution. The math is easy. You generate two (uniform) random numbers, and by applying an formula to them, you get two normally distributed random numbers. Return one, and save the … Read more

Fitting empirical distribution to theoretical ones with Scipy (Python)?

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Distribution Fitting with Sum of Square Error (SSE) This is an update and modification to Saullo’s answer, that uses the full list of the current scipy.stats distributions and returns the distribution with the least SSE between the distribution’s histogram and the data’s histogram. Example Fitting Using the El Niño dataset from statsmodels, the distributions are … Read more

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