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statistical approximation

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  • Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

  • Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on …   Wikipedia

  • Statistical potential — In protein structure prediction, a statistical potential (also knowledge based potential, empirical potential, or residue contact potential) is an energy function derived from an analysis of known structures in the Protein Data Bank. Typical… …   Wikipedia

  • Statistical process control — Maîtrise statistique des procédés La maîtrise statistique des procédés (MSP) (Statistical Process Control ou SPC en anglais), est le contrôle statistiques des processus. Au travers de représentations graphiques montrant les écarts (en + ou en ) à …   Wikipédia en Français

  • Open statistical ensemble — Statistical mechanics Thermodynamics · …   Wikipedia

  • Diagnostic and Statistical Manual of Mental Disorders — The Diagnostic and Statistical Manual of Mental Disorders (DSM) is published by the American Psychiatric Association and provides a common language and standard criteria for the classification of mental disorders. It is used in the United States… …   Wikipedia

  • Wien approximation — Wien s approximation (also sometimes called Wien s law or the Wien distribution law ) is a law of physics used to describe the spectrum of thermal radiation (frequently called the blackbody function). This law was first derived by Wilhelm Wien in …   Wikipedia

  • Function approximation — The need for function approximations arises in many branches of applied mathematics, and computer science in particular. In general, a function approximation problem asks us to select a function among a well defined class that closely matches (… …   Wikipedia

  • Percus–Yevick approximation — In statistical mechanics the Percus–Yevick approximation is a closure relation to solve the Ornstein–Zernike equation. It is also referred to as the Percus–Yevick equation. It is commonly used in fluid theory to obtain e.g. expressions for the… …   Wikipedia

  • Profiling (computer programming) — In software engineering, profiling ( program profiling , software profiling ) is a form of dynamic program analysis that measures, for example, the usage of memory, the usage of particular instructions, or frequency and duration of function calls …   Wikipedia

  • Schrödinger equation — For a more general introduction to the topic, please see Introduction to quantum mechanics. Quantum mechanics …   Wikipedia

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