Weibull probability density function

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• Weibull distribution — Probability distribution name =Weibull (2 Parameter) type =density pdf cdf parameters =lambda>0, scale (real) k>0, shape (real) support =x in [0; +infty), pdf =f(x)=egin{cases}frac{k}{lambda}left(frac{x}{lambda} ight)^{k 1}e^{ (x/lambda)^{k… …   Wikipedia

• Probability distribution — This article is about probability distribution. For generalized functions in mathematical analysis, see Distribution (mathematics). For other uses, see Distribution (disambiguation). In probability theory, a probability mass, probability density …   Wikipedia

• Weibull fading — The Weibull fading can be used as a simple statistical model of fading (named after Waloddi Weibull). In wireless communications, the Weibull fading distribution seems to exhibit good fit to experimental fading channel measurements for both… …   Wikipedia

• Dirac delta function — Schematic representation of the Dirac delta function by a line surmounted by an arrow. The height of the arrow is usually used to specify the value of any multiplicative constant, which will give the area under the function. The other convention… …   Wikipedia

• List of probability distributions — Many probability distributions are so important in theory or applications that they have been given specific names.Discrete distributionsWith finite support* The Bernoulli distribution, which takes value 1 with probability p and value 0 with… …   Wikipedia

• List of probability topics — This is a list of probability topics, by Wikipedia page. It overlaps with the (alphabetical) list of statistical topics. There are also the list of probabilists and list of statisticians.General aspects*Probability *Randomness, Pseudorandomness,… …   Wikipedia

• Maximum entropy probability distribution — In statistics and information theory, a maximum entropy probability distribution is a probability distribution whose entropy is at least as great as that of all other members of a specified class of distributions. According to the principle of… …   Wikipedia

• Log-logistic distribution — Probability distribution name =Log logistic type =density pdf cdf parameters =alpha>0 scale eta> 0 shape support =xin [0,infty) pdf = frac{ (eta/alpha)(x/alpha)^{eta 1} } { left [ 1+(x/alpha)^{eta} ight] ^2 } cdf ={ 1 over 1+(x/alpha)^{ eta} …   Wikipedia

• Type-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 …   Wikipedia

• Rayleigh distribution — Probability distribution name =Rayleigh type =density pdf cdf parameters =sigma>0, support =xin [0;infty) pdf =frac{x expleft(frac{ x^2}{2sigma^2} ight)}{sigma^2} cdf =1 expleft(frac{ x^2}{2sigma^2} ight) mean =sigma sqrt{frac{pi}{2 median… …   Wikipedia

• Fisher-Tippett distribution — Probability distribution name =Fisher Tippett type =density pdf cdf parameters =mu! location (real) eta>0! scale (real) support =x in ( infty; +infty)! pdf =frac{z,e^{ z{eta}! where z = e^{ frac{x mu}{eta! cdf =exp( e^{ (x mu)/eta})! mean =mu …   Wikipedia