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Etymologie

Was (wer) ist optical diff - definition

STATISTICAL METHOD

Difference-in-difference; Difference in difference; Difference-in-differences; Diff in diff; Diff-in-diff

optical diff

vdiff

Optical instrument

SCIENTIFIC INSTRUMENT USING LIGHT WAVES FOR IMAGE VIEWING

Optical instruments; Optical Instrument; Optical devices

An optical instrument (or "optic" for short) is a device that processes light waves (or photons), either to enhance an image for viewing or to analyze and determine their characteristic properties. Common examples include periscopes, microscopes, telescopes, and cameras.

https://en.wikipedia.org/wiki/Optical_instrument

diff

STANDARD UNIX UTILITY FOR FILE COMPARISON

.diff; Unidiff; Context format; Unified format; Sdiff; Diffmk; Unified diff; Diff (Unix); Diffutils; Spiff (Unix); Spiff (UNIX); Colordiff; Unified diff format; Unipatch; Diff utility

/dif/ 1. A change listing, especially giving differences between (and additions to) different versions of a piece of source code or documentation (the term is often used in the plural "diffs"). "Send me your diffs for the Jargon File!" Compare vdiff. 2. Specifically, such a listing produced by the diff Unix command, especially when used as input to the patch utility (which actually performs the modifications). This is a common method of distributing patches and source updates. 3. To compare (whether or not by use of automated tools on machine-readable files). See also vdiff, mod. [Jargon File] (1995-02-10)

Wikipedia

Difference in differences

Difference in differences (DID or DD) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. It calculates the effect of a treatment (i.e., an explanatory variable or an independent variable) on an outcome (i.e., a response variable or dependent variable) by comparing the average change over time in the outcome variable for the treatment group to the average change over time for the control group. Although it is intended to mitigate the effects of extraneous factors and selection bias, depending on how the treatment group is chosen, this method may still be subject to certain biases (e.g., mean regression, reverse causality and omitted variable bias).

In contrast to a time-series estimate of the treatment effect on subjects (which analyzes differences over time) or a cross-section estimate of the treatment effect (which measures the difference between treatment and control groups), difference in differences uses panel data to measure the differences, between the treatment and control group, of the changes in the outcome variable that occur over time.

https://en.wikipedia.org/wiki/Difference in differences