cumulative distribution function

  • 91Truncated normal distribution — In probability and statistics, the truncated normal distribution is the probability distribution of a normally distributed random variable whose value is either bounded below or above (or both). The truncated normal distribution has wide… …

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  • 92Burr distribution — Probability distribution name =Burr| type =density pdf cdf parameters =c > 0! k > 0! support =x > 0! pdf =ckfrac{x^{c 1{(1+x^c)^{k+1! cdf =1 left(1+x^c ight)^{ k} mean =koperatorname{B}(k 1/c,, 1+1/c) where B() is the beta function median… …

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  • 93Discrete probability distribution — In probability theory, a probability distribution is called discrete if it is characterized by a probability mass function. Thus, the distribution of a random variable X is discrete, and X is then called a discrete random variable, if:sum u… …

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  • 94Logmoment generating function — In mathematics, the logarithmic momentum generating function (equivalent to cumulant generating function) ( logmoment gen func ) is defined as follows::mu {Y}(s)=ln E(e^{scdot Y})where Y is a random variable.Thus, if Y is a discrete random… …

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  • 95Hypoexponential distribution — Probability distribution name =Hypoexponential type =density pdf cdf parameters =lambda {1},dots,lambda {k} > 0, rates (real) support =x in [0; infty)! pdf =Expressed as a phase type distribution oldsymbol{alpha}e^{xTheta}Thetaoldsymbol{1} Has… …

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  • 96Double exponential distribution — In statistics, the double exponential distribution may refer to Laplace distribution, or bilateral exponential distribution, consisting of two exponential distributions glued together on each side of a threshold Gumbel distribution, the… …

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  • 97Continuous probability distribution — In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous. That is equivalent to saying that for random variables X with the distribution in question, Pr [ X = a ] = 0 for all… …

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  • 98Probability mass function — In probability theory, a probability mass function (abbreviated pmf) is a function that gives the probability that a discrete random variable is exactly equal to some value. A pmf differs from a probability density function (abbreviated pdf) in… …

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  • 99Type-2 Gumbel distribution — Probability distribution name =Type 2 Gumbel| type =density pdf cdf parameters =a! (real) b! shape (real) support = pdf =a b x^{ a 1} e^{ b x^{ a! cdf =e^{ b x^{ a! mean = median = mode = variance = skewness = kurtosis = entropy = mgf = char = In …

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  • 100Monotonic function — Monotonicity redirects here. For information on monotonicity as it pertains to voting systems, see monotonicity criterion. Monotonic redirects here. For other uses, see Monotone (disambiguation). Figure 1. A monotonically increasing function (it… …

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