cumulative distribution function
111Sigmoid function — The logistic curve Plot of the error function …
112Rice distribution — Probability distribution name =Rice type =density pdf Rice probability density functions for various nu; with σ = 0.25. cdf Rice cumulative distribution functions for various nu; with σ = 0.25. parameters = uge 0, sigmage 0, support =xin… …
113Frequency distribution — In statistics, a frequency distribution is an arrangement of the values that one or more variables take in a sample. Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and… …
114Particle size distribution — The particle size distribution [Jillavenkatesa A, Dapkunas S J, Lin Sien Lum, Particle Size Characterization , NIST Special Publication 960 1, 2001] (PSD) of a powder, or granular material, or particles dispersed in fluid, is a list of values or… …
115Degree distribution — In/out degree distribution for Wikipedia s hyperlink graph (logarithmic scales) In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the… …
116Loi de Weibull — Distribution de Weibull Weibull Densité de probabilité / Fonction de masse Fonction de répartition …
117CDF — Cumulative Distribution Function (Academic & Science » Mathematics) ** Channel Definition Format (Computing » General) * Common Data Format (Computing » File Extensions) * Common Data Format (Governmental » NASA) * Common Data Format (Academic &… …
118Conditioning (probability) — Beliefs depend on the available information. This idea is formalized in probability theory by conditioning. Conditional probabilities, conditional expectations and conditional distributions are treated on three levels: discrete probabilities,… …
119Copula (probability theory) — In probability theory and statistics, a copula can be used to describe the dependence between random variables. Copulas derive their name from linguistics. The cumulative distribution function of a random vector can be written in terms of… …
120Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… …
