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Statements

Subject Item
dbr:Best
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dbr:Bootstrap_error-adjusted_single-sample_technique
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rdfs:label
Bootstrap error-adjusted single-sample technique
rdfs:comment
In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment to be made of the validity of a single sample. It is based on estimating a probability distribution representing what can be expected from valid samples. This is done use a statistical method called bootstrapping, applied to previous samples that are known to be valid.
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dbc:Resampling_(statistics) dbc:Computational_statistics
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31021341
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1072141271
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dbr:Standard_deviation dbr:Monte_Carlo_method dbr:Nondestructive_testing dbr:Bootstrapping_(statistics) dbr:Statistics dbr:Cluster_analysis dbc:Resampling_(statistics) dbr:Probability_distribution dbr:Covariance dbr:Normal_distribution dbr:ICP-AES dbr:Mahalanobis_distance dbr:Non-parametric_statistics dbc:Computational_statistics
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dbp:date
March 2011
dbo:abstract
In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment to be made of the validity of a single sample. It is based on estimating a probability distribution representing what can be expected from valid samples. This is done use a statistical method called bootstrapping, applied to previous samples that are known to be valid.
dbp:reeason
what are capsules to do with what is going on
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