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Many probability distributions are so important in theory or applications that they have been given specific names.
For any set of independent random variables the probability density function of their joint distribution is the product of their individual density functions.
Central limit theorem, Carl Friedrich Gauss, Conjugate prior, YouTube, Variance
Probability theory, Regression analysis, Mathematics, Observational study, Calculus
Statistics, Normal distribution, Probability density function, Integral, Survey methodology
Mathematics, Probability distribution, Directional statistics, Cumulative distribution function, Probability theory
Binomial distribution, Poisson distribution, Normal distribution, Statistics, Geometric distribution
Symmetry, Bernoulli distribution, Arcsine distribution, Skewness, Information entropy
Technical analysis, Genetics, Probability, Probability theory, Queueing theory
Normal distribution, Parameter, Software, Probability, Mean
Statistics, Probability theory, Probability distribution, Rayleigh distribution, Probability density function