type i and type ii errors造句

• All statistical hypothesis tests have a probability of making type I and type II errors.
• Negation of the null hypothesis causes type I and type II errors to switch roles.
• Our article at Type I and type II errors may or may not help to clarify this.
• Where a and b ( a ) depend on the desired type I and type II errors, \ alpha and \ beta.
• Hypothesis testing involves considering the likelihood of Type I and type II errors, which relate to whether the data supports accepting or rejecting the hypothesis.
• Additionally, application of the charts in the presence of such deviations increases the type I and type II error rates of the control charts, and may make the chart of little practical use.
• In that approach, one instead has a decision function between two alternatives, often based on a test statistic, and computes the rate of type I and type II errors as " ? " and " ? ".
• In statistics, if the null hypothesis is that all and only the relevant items are retrieved, absence of type I and type II errors corresponds respectively to maximum precision ( no false positive ) and maximum recall ( no false negative ).
• While both type I and type II errors are important in research situations, type one errors can have a therapeutic utility in clinical situations, in which they can provide an indirect opportunity for positive autosuggestion much like the indirect suggestions employed in Ericksonian hypnosis.
• * Mistake and Error are supposed to be synonymous to each other, but they portray certain differences in the light of statistical inference .  describe in regards to type I and type II error .  The preceding contribs ) 10 : 37, 18 April 2007 ( UTC ).
• In April 2003, Geobytes CEO invented CaseKeys and Spamborder technologies to address the problem of spam filtering Type I and type II errors # Spam _ filterings, and Geobytes incorporated this new technology into its  challenge response based spam filter application known as  Geobytes m & , which was later discontinued in 2005 due to the unpopularity of challenge response systems at that time.