distributed-parameter process
31Java (programming language) — infobox programming language name = Java paradigm = Object oriented, structured, imperative year = 1995 designer = Sun Microsystems latest release version = Java Standard Edition 6 (1.6.0) latest release date = latest test version = latest test… …
32Noncentral t-distribution — Noncentral Student s t Probability density function parameters: degrees of freedom noncentrality parameter support …
33Field electron emission — It is requested that a diagram or diagrams be included in this article to improve its quality. For more information, refer to discussion on this page and/or the listing at Wikipedia:Requested images. Field emission (FE) (also known as field… …
34Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …
35Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function …
36Compound probability distribution — In probability theory, a compound probability distribution is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution F with an unknown parameter θ that is… …
37Models of DNA evolution — A number of different Markov models of DNA sequence evolution have been proposed. These substitution models differ in terms of the parameters used to describe the rates at which one nucleotide replaces another during evolution. These models are… …
38File Allocation Table — For other uses, see Fat (disambiguation). FAT Developer Microsoft Full Name File Allocation Table FAT12 (12‑bit version) FAT16/FAT16B (16‑bit versions) FAT32 (32‑bit version with 28 bits used) Introduced …
39Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… …
40Windows PowerShell — Screenshot of a sample PowerShell session …
