In directional statistics, the projected normal distribution (also known as offset normal distribution or angular normal distribution)[1] is a probability distribution over directions that describes the radial projection of a random variable with n-variate normal distribution over the unit (n-1)-sphere.
^Wang & Gelfand 2013.
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statistics, the projectednormaldistribution (also known as offset normaldistribution or angular normaldistribution) is a probability distribution over directions...
normaldistribution, multivariate Gaussian distribution, or joint normaldistribution is a generalization of the one-dimensional (univariate) normal distribution...
and statistics, the skew normaldistribution is a continuous probability distribution that generalises the normaldistribution to allow for non-zero skewness...
generalized normaldistribution or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions on the...
In probability and statistics, the truncated normaldistribution is the probability distribution derived from that of a normally distributed random variable...
The projectednormaldistribution is a circular distribution representing the direction of a random variable with multivariate normaldistribution, obtained...
The projectednormaldistribution is a circular distribution representing the direction of a random variable with multivariate normaldistribution, obtained...
elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normaldistribution. Intuitively...
appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normaldistribution. This holds even if the original...
exponential distribution. Alpha-skew-normaldistribution. Bimodal skew-symmetric normaldistribution. A mixture of Conway-Maxwell-Poisson distributions has been...
mixture distribution. Normaldistribution (Gaussian distribution), for a single such quantity; the most commonly used absolutely continuous distribution Log-normal...
(defined below) of a distribution to 0. This value 0 is the excess kurtosis of any univariate normaldistribution. Distributions with negative excess...
probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1) in...
skewness of 0 A half-normaldistribution has a skewness just below 1 An exponential distribution has a skewness of 2 A lognormal distribution can have a skewness...
exponentially modified Gaussian distribution (EMG, also known as exGaussian distribution) describes the sum of independent normal and exponential random variables...
uniform distribution on [0,1]. The logit-normaldistribution on (0,1). The Dirac delta function, although not strictly a probability distribution, is a...
exponential map (Riemannian geometry) Normaldistribution, the Gaussian continuous probability distributionNormal equations, describing the solution of...
the student t distribution, the skewed Cauchy distribution, the Laplace distribution, the uniform distribution, the normaldistribution, and the Cauchy...
mean. The distribution of these means, or averages, is called the "sampling distribution of the sample mean". This distribution is normal N ( μ , σ 2...
normality tests are used to determine if a data set is well-modeled by a normaldistribution and to compute how likely it is for a random variable underlying...
of regression models is to replace the normaldistribution with a heavy-tailed distribution. A t-distribution with 4–6 degrees of freedom has been reported...
mean}}}{\text{standard deviation}}}} . By plugging this into the normaldistribution, we can derive the probability of the test point belonging to the...
1/2, a sample from the distribution can be found by randomly drawing K values independently from the standard normaldistribution, squaring these values...
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