Crossword Solver > found answer > FALSEMOVE

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CROSSWORD
ANSWER

falsemove

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The answer FALSEMOVE has 4 possible clue(s) in existing crosswords.

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The word FALSEMOVE is NOT valid in any word game. (Sorry, you cannot play FALSEMOVE in Scrabble, Words With Friends etc)

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Definitions of falsemove in various dictionaries:

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Possible Crossword Clues
Threatening action
Unwise act that could be dangerous
Most liked involving London School of Economics, an instant unwise action

Last Seen in these Crosswords & Puzzles
Oct 9 2017 The Washington Post
Oct 9 2017 L.A. Times Daily
Apr 25 2014 The Telegraph - Toughie
Jul 17 2003 Universal

Falsemove might refer to
In statistics, a False coverage rate (FCR) is the average rate of false coverage, i.e. not covering the true parameters, among the selected intervals. * The FCR gives a simultaneous coverage at a (1 − α)×100% level for all of the parameters considered in the problem. The FCR has a strong connection to the false discovery rate (FDR). Both methods address the problem of multiple comparisons, FCR from confidence intervals (CIs) and FDR from P-value's point of view. * FCR was needed because of dangers caused by selective inference. Researchers and scientists tend to report or highlight only the portion of data that is considered significant. It is therefore necessary to understand how the data is falsely covered. There are many FCR procedures which can be used depending on the length of the CI – Bonferroni-selected–Bonferroni-adjusted, Adjusted BH-Selected CIs (Benjamini and Yekutieli 2005). The incentive of choosing one procedure over another is to ensure that the CI is as narrow as possible and to keep the FCR. For microarray experiments and other modern applications, there are a huge number of parameters, often tens of thousands or more and it is very important to choose the most powerful procedure.

Falsemove might refer to

In statistics, a False coverage rate (FCR) is the average rate of false coverage, i.e. not covering the true parameters, among the selected intervals.
* The FCR gives a simultaneous coverage at a (1 − α)×100% level for all of the parameters considered in the problem. The FCR has a strong connection to the false discovery rate (FDR). Both methods address the problem of multiple comparisons, FCR from confidence intervals (CIs) and FDR from P-value's point of view.
* FCR was needed because of dangers caused by selective inference. Researchers and scientists tend to report or highlight only the portion of data that is considered significant. It is therefore necessary to understand how the data is falsely covered. There are many FCR procedures which can be used depending on the length of the CI – Bonferroni-selected–Bonferroni-adjusted, Adjusted BH-Selected CIs (Benjamini and Yekutieli 2005). The incentive of choosing one procedure over another is to ensure that the CI is as narrow as possible and to keep the FCR. For microarray experiments and other modern applications, there are a huge number of parameters, often tens of thousands or more and it is very important to choose the most powerful procedure.

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