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wiki::en::A/B testing | wikipedia | A/B testing | https://en.wikipedia.org/wiki/A/B_testing | en | [] | A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. A/B tests consist of a randomized experiment that usually involves two variants (A and B), although the concept can be also extended to multiple variants of the same variable. It includes application of ... | |
wiki::en::Sequential analysis | wikipedia | Sequential analysis | https://en.wikipedia.org/wiki/Sequential_analysis | en | [] | In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data is evaluated as it is collected, and further sampling is stopped in accordance with a pre-defined stopping rule as soon as significant results are observed. Thus a co... | |
wiki::en::False discovery rate | wikipedia | False discovery rate | https://en.wikipedia.org/wiki/False_discovery_rate | en | [] | In statistics, the false discovery rate (FDR) is a method of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple comparisons. FDR-controlling procedures are designed to control the FDR, which is the expected proportion of "discoveries" (rejected null hypotheses) that are false ... | |
wiki::en::Sample size determination | wikipedia | Sample size determination | https://en.wikipedia.org/wiki/Sample_size_determination | en | [] | Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a stud... | |
wiki::en::Power (statistics) | wikipedia | Power (statistics) | https://en.wikipedia.org/wiki/Power_(statistics) | en | [] | In frequentist statistics, power is the probability of detecting an effect (i.e. rejecting the null hypothesis) given that some prespecified effect actually exists using a given test in a given context. In typical use, it is a function of the specific test that is used (including the choice of test statistic and signif... | |
wiki::en::Equivalence test | wikipedia | Equivalence test | https://en.wikipedia.org/wiki/Equivalence_test | en | [] | Equivalence tests are a variety of hypothesis tests used to draw statistical inferences from observed data. In these tests, the null hypothesis is defined as an effect large enough to be deemed interesting, specified by an equivalence bound. The alternative hypothesis is any effect that is less extreme than said equiva... | |
wiki::en::Multi-armed bandit | wikipedia | Multi-armed bandit | https://en.wikipedia.org/wiki/Multi-armed_bandit | en | [] | "In probability theory and machine learning, the multi-armed bandit problem (sometimes called the K-(...TRUNCATED) | |
wiki::en::Thompson sampling | wikipedia | Thompson sampling | https://en.wikipedia.org/wiki/Thompson_sampling | en | [] | "Thompson sampling, named after William R. Thompson, is a heuristic for choosing actions that addres(...TRUNCATED) | |
wiki::en::Randomized controlled trial | wikipedia | Randomized controlled trial | https://en.wikipedia.org/wiki/Randomized_controlled_trial | en | [] | "A randomized controlled trial (abbreviated RCT) is a type of scientific experiment designed to eval(...TRUNCATED) | |
wiki::en::Scientific control | wikipedia | Scientific control | https://en.wikipedia.org/wiki/Scientific_control | en | [] | "A scientific control is an element of an experiment or observation designed to minimize the influen(...TRUNCATED) |
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