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Statements

Subject Item: dbr:Binomial_proportion_confidence_interval
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Relative_likelihood
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Interval_estimation
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Confidence_interval
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Neyman_construction
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Confidence_distribution
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Likelihood_function
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:CLs_method_(particle_physics)
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Coverage
dbo:wikiPageWikiLink: dbr:Coverage_probability
dbo:wikiPageDisambiguates: dbr:Coverage_probability

Subject Item: dbr:Data_transformation_(statistics)
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Coverage_probability
rdf:type: dbo:EthnicGroup
rdfs:label: Coverage probability Überdeckungswahrscheinlichkeit
rdfs:comment: In statistics, the coverage probability is a technique for calculating a confidence interval which is the proportion of the time that the interval contains the true value of interest. For example, suppose our interest is in the mean number of months that people with a particular type of cancer remain in remission following successful treatment with chemotherapy. The confidence interval aims to contain the unknown mean remission duration with a given probability. This is the "confidence level" or "confidence coefficient" of the constructed interval which is effectively the "nominal coverage probability" of the procedure for constructing confidence intervals. The "nominal coverage probability" is often set at 0.95. The coverage probability is the actual probability that the interval contains In der Statistik gibt die Überdeckungswahrscheinlichkeit (auch Konfidenzniveau) eines Konfidenzintervalls die Wahrscheinlichkeit an, dass dieses Intervall den wahren Wert enthält. Der Vertrauensbereich zielt entsprechend seiner Konstruktion darauf ab, mit einer bestimmten Wahrscheinlichkeit den unbekannten Parameter zu enthalten. Dies ist das „Konfidenzniveau“, das als nominelle Überdeckungswahrscheinlichkeit bei der Konstruktion des Konfidenzintervalls verwendet und oft bei 95 Prozent gewählt wird. Die Überdeckungswahrscheinlichkeit ist nun die tatsächliche Wahrscheinlichkeit, dass das resultierende Konfidenzintervall (eine zufällige Menge) den wahren (fixen) Parameter enthält.
dcterms:subject: dbc:Estimation_theory
dbo:wikiPageID: 22856967
dbo:wikiPageRevisionID: 1084432242
dbo:wikiPageWikiLink: dbr:Probability_distribution dbr:Neyman_construction dbr:Chemotherapy dbr:Cancer dbr:Confidence_interval dbr:Independence_(probability_theory) dbr:Interval_estimation dbr:Confidence_distribution dbr:False_coverage_rate dbr:True_value dbc:Estimation_theory dbr:Expected_value dbr:Binomial_proportion_confidence_interval
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dbo:abstract: In der Statistik gibt die Überdeckungswahrscheinlichkeit (auch Konfidenzniveau) eines Konfidenzintervalls die Wahrscheinlichkeit an, dass dieses Intervall den wahren Wert enthält. Der Vertrauensbereich zielt entsprechend seiner Konstruktion darauf ab, mit einer bestimmten Wahrscheinlichkeit den unbekannten Parameter zu enthalten. Dies ist das „Konfidenzniveau“, das als nominelle Überdeckungswahrscheinlichkeit bei der Konstruktion des Konfidenzintervalls verwendet und oft bei 95 Prozent gewählt wird. Die Überdeckungswahrscheinlichkeit ist nun die tatsächliche Wahrscheinlichkeit, dass das resultierende Konfidenzintervall (eine zufällige Menge) den wahren (fixen) Parameter enthält. In statistics, the coverage probability is a technique for calculating a confidence interval which is the proportion of the time that the interval contains the true value of interest. For example, suppose our interest is in the mean number of months that people with a particular type of cancer remain in remission following successful treatment with chemotherapy. The confidence interval aims to contain the unknown mean remission duration with a given probability. This is the "confidence level" or "confidence coefficient" of the constructed interval which is effectively the "nominal coverage probability" of the procedure for constructing confidence intervals. The "nominal coverage probability" is often set at 0.95. The coverage probability is the actual probability that the interval contains the true mean remission duration in this example. If all assumptions used in deriving a confidence interval are met, the nominal coverage probability will equal the coverage probability (termed "true" or "actual" coverage probability for emphasis). If any assumptions are not met, the actual coverage probability could either be less than or greater than the nominal coverage probability. When the actual coverage probability is greater than the nominal coverage probability, the interval is termed a conservative (confidence) interval, if it is less than the nominal coverage probability, the interval is termed "anti-conservative", or "permissive." A discrepancy between the coverage probability and the nominal coverage probability frequently occurs when approximating a discrete distribution with a continuous one. The construction of binomial confidence intervals is a classic example where coverage probabilities rarely equal nominal levels. For the binomial case, several techniques for constructing intervals have been created. The Wilson or Score confidence interval is one well known construction based on the normal distribution. Other constructions include the Wald, exact, Agresti-Coull, and likelihood intervals. While the Wilson interval may not be the most conservative estimate, it produces average coverage probabilities that are equal to nominal levels while still producing a comparatively narrow confidence interval. The "probability" in coverage probability is interpreted with respect to a set of hypothetical repetitions of the entire data collection and analysis procedure. In these hypothetical repetitions, independent data sets following the same probability distribution as the actual data are considered, and a confidence interval is computed from each of these data sets; see Neyman construction. The coverage probability is the fraction of these computed confidence intervals that include the desired but unobservable parameter value.
gold:hypernym: dbr:Proportion
prov:wasDerivedFrom: wikipedia-en:Coverage_probability?oldid=1084432242&ns=0
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Subject Item: dbr:CDF-based_nonparametric_confidence_interval
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Poisson_distribution
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Fiducial_inference
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Conservatism_(disambiguation)
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:List_of_statistics_articles
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Type_I_and_type_II_errors
rdfs:seeAlso: dbr:Coverage_probability

Subject Item: dbr:Multiple_comparisons_problem
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Probability_interpretations
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Stratified_randomization
dbo:wikiPageWikiLink: dbr:Coverage_probability

Subject Item: dbr:Statistical_coverage
dbo:wikiPageWikiLink: dbr:Coverage_probability
dbo:wikiPageRedirects: dbr:Coverage_probability

Subject Item: dbr:Coverage_(statistical)
dbo:wikiPageWikiLink: dbr:Coverage_probability
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Subject Item: dbr:Coverage_(statistics)
dbo:wikiPageWikiLink: dbr:Coverage_probability
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Subject Item: dbr:Conservative_interval
dbo:wikiPageWikiLink: dbr:Coverage_probability
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Subject Item: wikipedia-en:Coverage_probability
foaf:primaryTopic: dbr:Coverage_probability