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Testing Error Rate

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  • Familywise error rate — In statistics, familywise error rate (FWER) is the probability of making one or more false discoveries, or type I errors among all the hypotheses when performing multiple pairwise tests [Shaffer J. P. Multiple Hypothesis Testing, Annual Review of …   Wikipedia

  • Experimentwise error rate — In statistics, during multiple comparisons testing, experimentwise error rate is the probability of at least one false rejection of the null hypothesis over an entire experiment. The α (alpha) that is assigned applies to all of the hypothesis… …   Wikipedia

  • Comparisonwise error rate — In statistics, during multiple comparisons testing, comparisonwise error rate (also known as pairwise error rate) is the probability of falsely rejecting the null hypothesis for one test, i.e., the probability of Type 1 error occurring. The α… …   Wikipedia

  • Bit Error Rate Test — BERT or Bit Error Rate Test is a testing method for digital communication circuits that uses predetermined stress patterns comprising of a sequence of logical ones and zeros generated by a pseudorandom binary sequence. A BERT Tester typically… …   Wikipedia

  • Per-comparison error rate — In statistics, per comparison error rate (PCER) is the probability of a result in the absence of any formal multiple hypothesis testing correction.[1] Typically, when considering a result under many hypotheses, some tests will give false… …   Wikipedia

  • Statistical hypothesis testing — This article is about frequentist hypothesis testing which is taught in introductory statistics. For Bayesian hypothesis testing, see Bayesian inference. A statistical hypothesis test is a method of making decisions using data, whether from a… …   Wikipedia

  • Forward error correction — In telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding[1] is a technique used for controlling errors in data transmission over unreliable or noisy communication channels. The central idea is… …   Wikipedia

  • Closed testing procedure — In statistics, the closed testing procedure[1] is a general method for performing more than one hypothesis test simultaneously. Contents 1 The closed testing principle 2 Example 3 Special cases …   Wikipedia

  • False discovery rate — (FDR) control is a statistical method used in multiple hypothesis testing to correct for multiple comparisons. In a list of rejected hypotheses, FDR controls the expected proportion of incorrectly rejected null hypotheses (type I errors).… …   Wikipedia

  • Multiple testing correction — refers to re calculating probabilities obtained from a statistical test which was repeated multiple times. Different ways of recalculating include the: *Bonferroni correction *Holm Bonferroni method *Westfall Young step down approach of… …   Wikipedia

  • Software testing — is an empirical investigation conducted to provide stakeholders with information about the quality of the product or service under test [ [http://www.kaner.com/pdfs/ETatQAI.pdf Exploratory Testing] , Cem Kaner, Florida Institute of Technology,… …   Wikipedia

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