unity probability
1Probability theory — is the branch of mathematics concerned with analysis of random phenomena.[1] The central objects of probability theory are random variables, stochastic processes, and events: mathematical abstractions of non deterministic events or measured… …
2probability — The mathematics of probability is well understood. Probability is a non negative, additive set function whose maximum value is unity. What is harder to understand is the application of the formal notion to the actual world. One point of… …
3Probability — The likelihood that something will happen. For example, a probability of less than .05 indicates that the probability of something occurring by chance alone is less than 5 in 100, or 5 percent. This level of probability is usually taken as the… …
4Prior probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …
5Negative probability — In 1942, Paul Dirac wrote a paper The Physical Interpretation of Quantum Mechanics [1] where he introduced the concept of negative energies and negative probabilities: Negative energies and probabilities should not be considered as nonsense. They …
6Binomial distribution — Probability distribution name =Binomial type =mass pdf cdf Colors match the image above parameters =n geq 0 number of trials (integer) 0leq p leq 1 success probability (real) support =k in {0,dots,n}! pdf ={nchoose k} p^k (1 p)^{n k} ! cdf =I {1… …
7Pareto distribution — Probability distribution name =Pareto type =density pdf cdf Pareto cumulative distribution functions for various k with x m = 1. The horizontal axis is the x parameter. parameters =x mathrm{m}>0, scale (real) k>0, shape (real) support =x in [x… …
8Beta distribution — Probability distribution name =Beta| type =density pdf cdf parameters =alpha > 0 shape (real) eta > 0 shape (real) support =x in [0; 1] ! pdf =frac{x^{alpha 1}(1 x)^{eta 1 {mathrm{B}(alpha,eta)}! cdf =I x(alpha,eta)! mean… …
9Zeta distribution — Probability distribution name =zeta type =mass pdf Plot of the Zeta PMF on a log log scale. (Note that the function is only defined at integer values of k. The connecting lines do not indicate continuity.) cdf parameters =sin(1,infty) support =k… …
10Raised cosine distribution — Probability distribution name =Raised cosine type =density pdf | cdf parameters =mu,(real) s>0,(real) support =x in [mu s,mu+s] , pdf =frac{1}{2s}left [1+cosleft(frac{x! !mu}{s},pi ight) ight] , cdf =frac{1}{2}left [1!+!frac{x!… …
