Search results

Jump to navigation Jump to search

Page title matches

Page text matches

  • {{r|Continuous probability distribution}}
    670 bytes (76 words) - 07:31, 16 April 2010
  • ...l distribution|exponential distribution]]''' is any member of a class of [[continuous probability distribution|continuous probability distributions]] assigning probability *[[Continuous probability distribution]]
    1 KB (164 words) - 06:14, 14 September 2013
  • {{r|Continuous probability distribution}}
    674 bytes (82 words) - 16:00, 11 January 2010
  • Auto-populated based on [[Special:WhatLinksHere/Continuous probability distribution]]. Needs checking by a human.
    674 bytes (82 words) - 15:40, 11 January 2010
  • {{r|Continuous probability distribution}}
    549 bytes (67 words) - 16:19, 11 January 2010
  • A '''continuous probability distribution''' is one of the three main types of [[probability distribution|probability A continuous probability distribution is a function that, whren integrated over a set representing an event, give
    3 KB (390 words) - 07:22, 26 September 2007
  • {{r|Continuous probability distribution}}
    687 bytes (82 words) - 20:38, 11 January 2010
  • #Given a [[continuous probability distribution]] function f, the entropy H of the distribution (again measure in bits) is *[[Continuous probability distribution]]
    1 KB (232 words) - 07:17, 4 January 2008
  • {{r|Continuous probability distribution}}
    771 bytes (95 words) - 18:24, 11 January 2010
  • {{r|Continuous probability distribution}}
    812 bytes (100 words) - 20:22, 11 January 2010
  • {{r|Continuous probability distribution}}
    508 bytes (63 words) - 16:27, 11 January 2010
  • ...distributions]]. The other main class in basic [[probability theory]] is [[continuous probability distribution|continuous probability distributions]]. *[[Continuous probability distribution]]
    4 KB (590 words) - 09:17, 26 September 2007
  • ...at take on discrete values only (typically the positive integers), while [[continuous probability distribution|continuous distributions]] describe variables that can take on arbitrary v ...ive ideas are captured, formalized and made precise by the concept of a [[continuous probability distribution]].
    6 KB (870 words) - 12:20, 15 November 2007
  • ...uence of discrete distributions converging to the normal shape. However, [[Continuous probability distribution|continuous distributions]] (normal, uniform etc.) of random variables are n
    18 KB (2,797 words) - 14:37, 30 January 2011
  • ...application of the distribution to astronomical data (Havil, 2003)) is a [[continuous probability distribution]] of great importance in many fields.
    46 KB (6,956 words) - 07:01, 9 June 2009