finite population correction - определение. Что такое finite population correction
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Что (кто) такое finite population correction - определение

STATISTICAL PROPERTY
Standard error of the mean; Standard error of estimation; NMSE; Standard Error; Standard error of measurement; Relative standard error; Finite population correction; Standard error (statistics); Standard errors
  • Expected error in the mean of ''A'' for a sample of ''n'' data points with sample bias coefficient ''ρ''. The unbiased '''standard error''' plots as the ''ρ'' = 0 diagonal line with log-log slope −½.
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Standard error         
The standard error (SE) of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution or an estimate of that standard deviation. If the statistic is the sample mean, it is called the standard error of the mean (SEM).
Color correction         
  • Chromaticity diagram, Planckian locus, and lines of constant CCT
PROCESS USED IN STAGE LIGHTING, PHOTOGRAPHY, TELEVISION, CINEMATOGRAPHY, AND OTHER DISCIPLINES, WHICH USES COLOR GELS, OR FILTERS, TO ALTER THE OVERALL COLOR OF THE LIGHT
Colour correction; Color correction filter; Color Temperature Orange; Correct To Orange; Color-correction filter; Color correction gel; Color-correction gel
Color correction is a process used in stage lighting, photography, television, cinematography, and other disciplines, which uses color gels, or filters, to alter the overall color of the light. Typically the light color is measured on a scale known as color temperature, as well as along a light yellow –light blue axis orthogonal to the color temperature axis.
Šidák correction         
MULITPLE COMPARISONS CORRECTION
Sidak correction; Sidak method
In statistics, the Šidák correction, or Dunn–Šidák correction, is a method used to counteract the problem of multiple comparisons. It is a simple method to control the familywise error rate.
Finite morphism         
Finite map (algebraic geometry); Finite type scheme
In algebraic geometry, a finite morphism between two affine varieties X, Y is a dense regular map which induces isomorphic inclusion k\left[Y\right]\hookrightarrow k\left[X\right] between their coordinate rings, such that k\left[X\right] is integral over k\left[Y\right]. This definition can be extended to the quasi-projective varieties, such that a regular map f\colon X\to Y between quasiprojective varieties is finite if any point like y\in Y has an affine neighbourhood V such that U=f^{-1}(V) is affine and f\colon U\to V is a finite map (in view of the previous definition, because it is between affine varieties).
Statistical population         
COMPLETE SET OF ITEMS THAT SHARE AT LEAST ONE PROPERTY IN COMMON THAT IS THE SUBJECT OF A STATISTICAL ANALYSIS
Statistical Population; Population (statistics); Population mean; Subpopulation; Statistical Populations; Sub-population
In statistics, a population is a set of similar items or events which is of interest for some question or experiment. A statistical population can be a group of existing objects (e.
Finite element method         
  • A function in <math>H_0^1,</math> with zero values at the endpoints (blue), and a piecewise linear approximation (red)
  • (c) The computed solution, <math>u(x, y)=1-x^2-y^2.</math>
  • (b) The [[sparse matrix]] ''L'' of the discretized linear system
  • Solving the two-dimensional problem <math>u_{xx}+u_{yy}=-4</math> in the disk centered at the origin and radius 1, with zero boundary conditions.<br />(a) The triangulation.
  • url=https://ris.utwente.nl/ws/files/6153316/CMBBE2014-Hamid-Submitted.pdf}}</ref>
  • A piecewise linear function in two dimensions
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NUMERICAL METHOD FOR SOLVING PHYSICAL OR ENGINEERING PROBLEMS
Finite element analysis; Finite Element Analysis; Finite elements; Finite element; Finite Element Method; Engineering treatment of the finite element method; Finite element solver; Finite element meshing; Finite element problem; Engineering treatment of the Finite Element Method; Finite element methods; Finite difference method based on variation principle; Finite elements analysis; Finite-element method; Finite-element analysis; Finite-element methods; Nonlinear finite element analysis
The finite element method (FEM) is a popular method for numerically solving differential equations arising in engineering and mathematical modeling. Typical problem areas of interest include the traditional fields of structural analysis, heat transfer, fluid flow, mass transport, and electromagnetic potential.
Finite Automaton         
  • TTL]] counter, a type of state machine
  • Fig. 5: Representation of an acceptor; this example shows one that determines whether a binary number has an even number of 0s, where ''S''<sub>1</sub> is an ''accepting state'' and ''S''<sub>2</sub> is a ''non accepting state''.
  • Fig. 3 Example of a simple finite-state machine
  • Fig. 6 Transducer FSM: Moore model example
  • Fig. 7 Transducer FSM: Mealy model example
  • Fig. 4: Acceptor FSM: parsing the string "nice".
  • Fig. 2 SDL state machine example
  • A turnstile
  • State diagram for a turnstile
  • Fig. 1 UML state chart example (a toaster oven)
MATHEMATICAL MODEL OF COMPUTATION; ABSTRACT MACHINE THAT CAN BE IN EXACTLY ONE OF A FINITE NUMBER OF STATES AT ANY GIVEN TIME
Finite state machines; Finite state automaton; Finite automaton; Finite state automata; Start state; Finite automata; Deterministic automata; State machine; SFSM; Finite State Machine; Finate state automata; Accept state; Accepting state; State Machine; State machines; Recognizer; Recognizers; Sequence detector; Sequence detectors; Finite state acceptor; Finite State Automaton; State transition function; Finite State Machines; Finite-state automata; Finite-state automaton; Finite state machine; Finite state grammar; Finite-state machines; Finite state-machine; Finite state language; Finite state; Finite Automata; Finite state recognizer; Finite-state recognizer; State-machine; Acceptor (finite-state machine); Optimization of finite state machines; Recogniser
Finite volume method         
METHOD FOR REPRESENTING AND EVALUATING PARTIAL DIFFERENTIAL EQUATIONS
Finite volume; Finite-volume method
The finite volume method (FVM) is a method for representing and evaluating partial differential equations in the form of algebraic equations.
Population genetics         
  • ''Drosophila melanogaster''
  • Gene flow is the transfer of [[allele]]s from one [[population]] to another population through immigration of individuals. In this example, one of the birds from population A [[immigrate]]s to population B, which has fewer of the dominant alleles, and through mating incorporates its alleles into the other population.
  • The [[Great Wall of China]] is an obstacle to gene flow of some terrestrial species.<ref name="Su Qu 2003"/>
  • product]] of the contributions from each of its loci.
  • Current tree of life showing vertical and horizontal gene transfers.
SUBFIELD OF GENETICS THAT DEALS WITH GENETIC DIFFERENCES OF POPULATIONS, PART OF EVOLUTIONARY BIOLOGY
Population geneticists; Population geneticist; Genetics, population; Genetic migration; Population genetic; Population Genetics; Evolutionary genetics; Animal population study; History of population genetics; Population biologist; Genetic populations; DNA genealogy
Population genetics is a subfield of genetics that deals with genetic differences within and between populations, and is a part of evolutionary biology. Studies in this branch of biology examine such phenomena as adaptation, speciation, and population structure.
Greenhouse–Geisser correction         
CORRECTION FOR LACK OF SPHERICITY
Greenhouse-Geisser correction
The Greenhouse–Geisser correction \widehat{\varepsilon} is a statistical method of adjusting for lack of sphericity in a repeated measures ANOVA. The correction functions as both an estimate of epsilon (sphericity) and a correction for lack of sphericity.

Википедия

Standard error

The standard error (SE) of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution or an estimate of that standard deviation. If the statistic is the sample mean, it is called the standard error of the mean (SEM).

The sampling distribution of a mean is generated by repeated sampling from the same population and recording of the sample means obtained. This forms a distribution of different means, and this distribution has its own mean and variance. Mathematically, the variance of the sampling mean distribution obtained is equal to the variance of the population divided by the sample size. This is because as the sample size increases, sample means cluster more closely around the population mean.

Therefore, the relationship between the standard error of the mean and the standard deviation is such that, for a given sample size, the standard error of the mean equals the standard deviation divided by the square root of the sample size. In other words, the standard error of the mean is a measure of the dispersion of sample means around the population mean.

In regression analysis, the term "standard error" refers either to the square root of the reduced chi-squared statistic or the standard error for a particular regression coefficient (as used in, say, confidence intervals).