Search results
Results from the WOW.Com Content Network
Outliers: The Story of Success is a non-fiction book written by Malcolm Gladwell and published by Little, Brown and Company on November 18, 2008. In Outliers , Gladwell examines the factors that contribute to high levels of success.
Blink: The Power of Thinking Without Thinking (2005) is Malcolm Gladwell's second book. It presents in popular science format research from psychology and behavioral economics on the adaptive unconscious: mental processes that work rapidly and automatically from relatively little information.
Malcolm Timothy Gladwell CM (born 3 September 1963) is a Canadian journalist, author, and public speaker. [2] He has been a staff writer for The New Yorker since 1996. He has published eight books.
In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers.This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Pages for logged out editors learn more
Johns (1936 – 2009) pioneered data-driven learning and coined the term. It first appeared in an article, Should you be persuaded: Two examples of data-driven learning (1991). [1] His paper, From Printout to Handout, [2] is reprinted and discussed at length in Volume 2 of Hubbard's Computer-Assisted Language Learning. [3]
The modified Thompson Tau test is used to find one outlier at a time (largest value of δ is removed if it is an outlier). Meaning, if a data point is found to be an outlier, it is removed from the data set and the test is applied again with a new average and rejection region. This process is continued until no outliers remain in a data set.
In statistics, Grubbs's test or the Grubbs test (named after Frank E. Grubbs, who published the test in 1950 [1]), also known as the maximum normalized residual test or extreme studentized deviate test, is a test used to detect outliers in a univariate data set assumed to come from a normally distributed population.