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Page title matches
- = Midterm 1 Statistics=766 B (105 words) - 05:01, 15 October 2010
- == Midterm 1 Statistics, [[2011 Spring ECE 301 Boutin|ECE301 Spring 2011 Prof. Boutin]] == = Statistics =371 B (36 words) - 19:51, 24 February 2011
- == Midterm 1 Statistics, [[2011 Spring ECE 301 Boutin|ECE301 Spring 2011 Prof. Boutin]] == = Statistics =420 B (41 words) - 15:50, 7 April 2011
- '''Fisher Information and Frequentist Statistics:''' What is Frequentist Statistics?2 KB (321 words) - 22:24, 6 December 2020
- '''Fisher Information, Bayesian Statistics, and Jeffrey’s Prior:''' What is Bayesian Statistics?654 B (101 words) - 20:50, 6 December 2020
- '''Bayesian Statistics''' What is Bayesian Statistics?713 B (106 words) - 21:43, 6 December 2020
- '''Bayesian Statistics''' ...What is Bayesian Statistics?1 KB (212 words) - 22:21, 6 December 2020
Page text matches
- According to the statistics and probabilities we have discussed so far, as the number of turns playing6 KB (1,006 words) - 14:39, 26 January 2009
- ...given out on a random day, and collected that day. Anyone who has taken a statistics course recognizes this as a '''selection bias''' -- they are biasing the re2 KB (288 words) - 11:48, 11 March 2010
- Course statistics: GPA 2.527 KB (1,067 words) - 12:05, 25 June 2010
- ...e are almost certain that the person does not have the virus. Although the statistics of the test seem very good, the test is actually not that great because suc3 KB (496 words) - 13:09, 22 November 2011
- Note: each time you click "save", this is recorded in the statistics of the Rhea. As you are experimenting with the look and feel of the page yo916 B (168 words) - 05:16, 28 August 2008
- ...go well for the majority of the class. It would be interesting to see the statistics as far as average and high score.789 B (143 words) - 16:55, 19 October 2008
- statistics. Instead, parents who want to know how their schools are doing in terms of vital statistics like graduation rates must rely on3 KB (446 words) - 11:38, 31 October 2008
- ...essons,” says Jason Brown of Dalhousie’s Department of Mathematics and Statistics with a good laugh. “I had tried to play the first chord of the song many3 KB (541 words) - 17:40, 14 November 2008
- In statistics, overfitting means that some of the relationships that appear statistically ...hanging the assumed values of a set of fixed coefficients (parameters). In statistics, a parametric model is a parametrized family of probability distributions,31 KB (4,832 words) - 18:13, 22 October 2010
- ...s,” Proc. Fifth Berkeley Symp. Math. Statistics and Probability, vol. I: Statistics, pp. 281-297, 1967.8 KB (1,173 words) - 12:41, 26 April 2008
- ...ametric models are usually dependent on the size of the dataset (e.g. more statistics for larger datasets)13 KB (2,073 words) - 08:39, 17 January 2013
- REFERENCE: Statistics : Methods and References by Pawel Lewicki and Thomas Hill3 KB (558 words) - 17:03, 16 April 2008
- In statistics, Mahalanobis distance is a distance measure introduced by [http://en.wikipe3 KB (528 words) - 08:48, 10 April 2008
- ...estimator is probably the most important parameter estimator in classical statistics. The reason is that the MLE estimator is asymptotically efficient. That is6 KB (995 words) - 10:39, 20 May 2013
- * `Statistics with R <http://zoonek2.free.fr/UNIX/48_R/all.html>`_2 KB (241 words) - 23:32, 11 March 2008
- ...ven data set can be placed on a firm theoretical foundation using Bayesian statistics. Within this framework, and using various mathematical and algorithmic appr ...thematical modeling of cognition but are unfamiliar with the estimation in statistics and is an indispensable tool for many statistical modeling techniques, in p39 KB (5,715 words) - 10:52, 25 April 2008
- REFERENCE: Statistics : Methods and References by Pawel Lewicki and Thomas Hill2 KB (302 words) - 01:09, 7 April 2008
- In statistics, overfitting means that some of the relationships that appear statistically637 B (103 words) - 01:42, 17 April 2008
- ...hanging the assumed values of a set of fixed coefficients (parameters). In statistics, a parametric model is a parametrized family of probability distributions,343 B (53 words) - 01:43, 17 April 2008
- ...about future problems in the ways introduced by this course. The general statistics topics covered are also very important. An interesting problem to research10 KB (1,812 words) - 14:00, 16 December 2011