22,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
11 °P sammeln
Andere Kunden interessierten sich auch für
![Principal Component Analysis and Randomness Tests for Big Data Analysis]( "Principal Component Analysis and Randomness Tests for Big Data Analysis")
Principal Component Analysis and Randomness Tests for Big Data Analysis155,99 €![Randomness Extractor]( "Randomness Extractor")
Randomness Extractor22,99 €![Sarnak's Conjecture about Möbius Function Randomness]( "Sarnak's Conjecture about Möbius Function Randomness")
Sarnak's Conjecture about Möbius Function Randomness32,99 €![Coarse Geometry and Randomness]( "Coarse Geometry and Randomness")
Coarse Geometry and Randomness26,99 €![Decision Systems and Nonstochastic Randomness]( "Decision Systems and Nonstochastic Randomness")
Decision Systems and Nonstochastic Randomness81,99 €![Randomness]( "Randomness")
Randomness32,99 €![Convergence Tests]( "Convergence Tests")
Convergence Tests19,99 €
High Quality Content by WIKIPEDIA articles! Randomness tests (or tests of randomness), in data evaluation, are used to analyze the distribution pattern of a set of data. In stochastic modeling, as in some computer simulations, the expected random input data can be verified to show that tests were performed using randomized data. In some cases, data reveals an obvious non-random pattern, as with so-called "runs in the data" (such as expecting random 0-9 but finding "4 3 2 1 0 4 3 2 1..." and rarely going above 4). If a selected set of data fails the tests, then parameters can be changed or other randomized data can be used which does pass the tests for randomness.