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- A '''discrete probability distribution''' is a one class of [[probability distributions]]. The other main class in ...real numbers ranging from 0 to 1 and their sum is exactly 1, we have a [[discrete probability distribution]], and each "degree of belief" is called a [[probability]].4 KB (590 words) - 09:17, 26 September 2007
- 12 bytes (1 word) - 09:17, 26 September 2007
- 184 bytes (26 words) - 11:06, 4 September 2009
- Auto-populated based on [[Special:WhatLinksHere/Discrete probability distribution]]. Needs checking by a human.674 bytes (82 words) - 16:00, 11 January 2010
Page text matches
- {{r|Discrete probability distribution}}670 bytes (76 words) - 07:31, 16 April 2010
- Auto-populated based on [[Special:WhatLinksHere/Discrete probability distribution]]. Needs checking by a human.674 bytes (82 words) - 16:00, 11 January 2010
- {{r|Discrete probability distribution}}674 bytes (82 words) - 15:40, 11 January 2010
- {{r|Discrete probability distribution}}549 bytes (67 words) - 16:19, 11 January 2010
- The '''Poisson distribution''' is any member of a class of [[discrete probability distribution|discrete probability distributions]] named after [[Simeon Denis Poisson]].2 KB (233 words) - 09:15, 14 September 2013
- {{r|Discrete probability distribution}}687 bytes (82 words) - 20:38, 11 January 2010
- #Given a [[discrete probability distribution]] function f, the entropy H of the distribution (measured in [[bits]]) is *[[Discrete probability distribution]]1 KB (232 words) - 07:17, 4 January 2008
- {{r|Discrete probability distribution}}771 bytes (95 words) - 18:24, 11 January 2010
- ...s of [[probability distribution|probability distributions]], along with [[discrete probability distribution|discrete]] and [[hybrid probability distribution|hybrid]] ones.3 KB (390 words) - 07:22, 26 September 2007
- {{r|Discrete probability distribution}}812 bytes (100 words) - 20:22, 11 January 2010
- ...'''Zipf distribution''' and '''zeta distribution''' refer to a class of [[discrete probability distribution]]s. They have been used to model the distribution of words in words in a t1 KB (168 words) - 16:41, 6 February 2009
- {{r|Discrete probability distribution}}619 bytes (77 words) - 19:36, 11 January 2010
- A '''discrete probability distribution''' is a one class of [[probability distributions]]. The other main class in ...real numbers ranging from 0 to 1 and their sum is exactly 1, we have a [[discrete probability distribution]], and each "degree of belief" is called a [[probability]].4 KB (590 words) - 09:17, 26 September 2007
- {{r|Discrete probability distribution}}456 bytes (57 words) - 21:48, 11 January 2010
- ...two main classes of probability distributions: Discrete and continuous. [[Discrete probability distribution|Discrete distributions]] describe variables that take on discrete values o ...ive ideas are captured, formalized and made precise by the concept of a [[discrete probability distribution]].6 KB (870 words) - 12:20, 15 November 2007
- <math>\scriptstyle X_1</math> will then follow the uniform discrete probability distribution with [[expected value of a random variable|expected value]] <math>\mu=0.5</11 KB (1,680 words) - 19:57, 29 September 2020
- ...[[Probability distribution|distributions]] are treated on three levels: [[Discrete probability distribution|discrete probabilities]], [[probability density function]]s, and [[measure ...itional distributions. In general, conditional distributions need not be [[discrete probability distribution|atomic]] or [[Absolutely continuous random variable|absolutely continuous]]32 KB (5,149 words) - 15:48, 29 June 2009