Normal distribution | Poisson distribution

Anscombe transform

In statistics, the Anscombe transform, named after Francis Anscombe, is a variance-stabilizing transformation that transforms a random variable with a Poisson distribution into one with an approximately standard Gaussian distribution. The Anscombe transform is widely used in photon-limited imaging (astronomy, X-ray) where images naturally follow the Poisson law. The Anscombe transform is usually used to pre-process the data in order to make the standard deviation approximately constant. Then denoising algorithms designed for the framework of additive white Gaussian noise are used; the final estimate is then obtained by applying an inverse Anscombe transformation to the denoised data. (Wikipedia).

Anscombe transform
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Why statistics is always misleading ?

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From playlist Something you did not know...

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From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM

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Animated Mandelbrot transform - linear interpolation

http://code.google.com/p/mandelstir/

From playlist mandelstir

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The Two-Dimensional Discrete Fourier Transform

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From playlist Fourier

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From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM

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From playlist Math Shorts

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From playlist The z-Transform

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From playlist Seaborn: Understanding the Weird Parts

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From playlist Session 3 - Intro to Machine Learning - Intelligence and Learning

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From playlist Oxford Mathematics Student Lectures - Integral Transforms

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What is a reduction dilation

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From playlist Transformations

Related pages

Linear map | Inverse function | Random variable | Closed-form expression | Standard deviation | Statistics | Poisson distribution | Delta method | Normal distribution | Additive white Gaussian noise | Bias of an estimator