Statistical Distributions

By M. Evans. 2000

365 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d8b888b7aed3ec49e1b20b32b18a8fb57f6da3cc

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In Artificial Intelligence

In Statistics and Probability

Citations in the corpus

Log-concave probability and its applications (2004, neutral): “Descriptions and discussions of these distributions can be found in reference works by Patel, Kapadia, and Owen [30], Johnson and Kotz [22], and Patil, Boswell, and Ratnaparkhi [31], and Evans, Hastings, and Peacock [16].”
Soil water content and emergence time control seedling establishment in three co-occurring Mediterranean oak species (2008, background): “This distribution has a flexible shape defined by a shape parameter (n), which varies from exponential-like to bell-shaped but left-skewed probability distributions (Evans et al. 2000).”
Noise Estimation from a Single Image (2006, background): “When k is large, the square root of chi-square distribution is approximately N (0, σ/k) [4].”
Maximally Stable Colour Regions for Recognition and Matching (2007, methodology): “If we assume that the normalised difference between two pixels is Gaussian, the edge significance measure (6) will follow a scaled Chi-squared distribution [3].”
Uncertainty, entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude, entropie, effet d'échelle et propriétés stochastiques hydrologiques. 1. Propriétés distributionnelles marginales des processus hydrologiques et (2005, background): “It can be observed that the variable X ν1 has Beta Prime (also known as Beta of the second kind) distribution (Evans et al., 2000); thus the distribution of X will be called Power-transformed Beta Prime (PBP).”