binary data

collocation in English

meanings of binaryand data

These words are often used together. Click on the links below to explore the meanings.
binary
noun
uk /ˈbaɪ.nər.i/ us /ˈbaɪ.ner.i/
a system of numbers that uses only 0 ...
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data
noun[ U, + sing/pl verb ]
uk /ˈdeɪ.tə/ us /ˈdeɪ.t̬ə/
information, especially facts or numbers, collected to be examined and considered and used to help decision-making, or information in an electronic form that can be stored and used by ...
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Examples of binary data

binary data
This includes surveys, monitoring, and surveillance that often deal with binarydata.
This of course makes the use of linear models to analyse interactions in binarydata somewhat cumbersome in practice.
A phenomenon already reported elsewhere that interaction effects can become 'absorbed ' in the main effect also appears associated with scale effect in binarydata.
Results are based on 1000 replicates of binarydata on 20 half-sib families.
This model combines the good local prediction properties of the multiplicative mixed linear model with the ability of the logistic model to handle binarydata.
As expected, all parameters of interest were estimated more accurately in normal data analysis than in binarydata analysis.
The main problem with the second approach is that most high-level languages do not provide adequate support for common operations on binarydata.
Using a list of integers representation rather than a binarydata type results in a program with a rather poor performance.
We expect this to be a general phenomenon for testing any interactions in binarydata.
Results are based on 1000 replicates of binarydata on 20 half-sib families with 200 progeny per family.
This is an odd sentence as it does not really explain the multiple reasons for the use of binarydata.
Results are based on 10 000 replicates of binarydata for different combinations of progeny group sizes (n) and disease incidences (p).
There are many different estimators of intraclass correlation that have been proposed for binarydata.
Because the results were based on binarydata in which children received either 1 or 0 over a set of four trials, the distribution of the responses was skewed.
The increased false positive rate can be corrected by the use of empirical significance thresholds, which is therefore strongly recommended when using linear models to test interactions in binarydata.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.

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