Search results
Jump to navigation
Jump to search
Page title matches
- ...ning a "size" or "measure" to that set, hence the motivation for the name "measure theory". For a more precise and detailed discussion, see [[measure (mathematics)|m ==Development of measure theory==4 KB (604 words) - 05:50, 12 May 2008
- 169 bytes (24 words) - 09:54, 4 September 2009
- 12 bytes (1 word) - 17:46, 10 November 2007
- Auto-populated based on [[Special:WhatLinksHere/Measure theory]]. Needs checking by a human.771 bytes (95 words) - 18:24, 11 January 2010
Page text matches
- {{r|Measure theory}}282 bytes (38 words) - 16:42, 26 July 2008
- [[Measure theory]]590 bytes (82 words) - 05:53, 12 May 2008
- ...matical structure intended among other things to provide a rigid basis for measure theory and axiomatic probability theory.173 bytes (23 words) - 17:40, 26 June 2008
- {{r|Measure theory}}260 bytes (36 words) - 13:28, 26 July 2008
- [[Measure theory]]346 bytes (47 words) - 15:41, 3 November 2008
- {{r|Measure theory}}617 bytes (78 words) - 18:24, 11 January 2010
- ...ning a "size" or "measure" to that set, hence the motivation for the name "measure theory". For a more precise and detailed discussion, see [[measure (mathematics)|m ==Development of measure theory==4 KB (604 words) - 05:50, 12 May 2008
- {{r|Measure theory}}681 bytes (87 words) - 18:24, 11 January 2010
- ...cal structure]] intended among other things to provide a rigid basis for [[measure theory]] and axiomatic [[probability theory]]. In essence it is a collection of su [[Measure theory]]2 KB (314 words) - 16:35, 27 November 2008
- {{r|Measure theory}}670 bytes (76 words) - 07:31, 16 April 2010
- {{r|Distribution function (measure theory)}}339 bytes (44 words) - 05:37, 9 December 2009
- Auto-populated based on [[Special:WhatLinksHere/Measure theory]]. Needs checking by a human.771 bytes (95 words) - 18:24, 11 January 2010
- {{r|Measure theory}}812 bytes (100 words) - 20:22, 11 January 2010
- {{r|Measure theory}}458 bytes (59 words) - 21:33, 11 January 2010
- In statistics, the full name for the [[distribution function (measure theory)|distribution function]] corresponding to a real-valued random variable; gi284 bytes (39 words) - 05:22, 24 November 2009
- {{r|Measure theory}}679 bytes (84 words) - 20:38, 11 January 2010
- In the branch of [[mathematics]] known as [[measure theory]], the '''Caratheodory extension theorem''' states that a countably additiv2 KB (324 words) - 16:34, 27 November 2008
- {{r|Distribution function (measure theory)}}202 bytes (22 words) - 18:55, 26 February 2010
- ...t notable being a proof of existence of Lebesgue non-measurable sets in [[measure theory]]. The name was given after the Italian mathematician [[Giuseppe Vitali]]. == Application to measure theory ==4 KB (618 words) - 21:07, 15 November 2007
- {{r|Measure theory}}2 KB (247 words) - 06:00, 7 November 2010
- {{r|Measure theory}}674 bytes (82 words) - 15:40, 11 January 2010
- {{r|Measure theory}}674 bytes (82 words) - 16:00, 11 January 2010
- ...ical analysis]] and [[probability theory]], and is the basic concept of '''measure theory''', which studies the properties of [[sigma algebra|σ-algebras]], mea The study of [[von Neumann algebra]]s is often called ''non-commutative measure theory'', as commutative von Neumann algebras are isomorphic to [[Lp space|L<sup>�14 KB (2,350 words) - 17:37, 10 November 2007
- {{r|Measure theory}}868 bytes (138 words) - 17:23, 17 October 2009
- *[[Measure theory]]6 KB (870 words) - 12:20, 15 November 2007
- In the ordinary [[axiomatization]] of [[probability theory]] by means of [[measure theory]], the problem is to construct a [[sigma-algebra]] of [[measurable set|meas In measure theory, if we have a [[countably infinite]] collection of measurable sets, then th12 KB (1,781 words) - 14:50, 7 December 2008
- ...and angles while retaining volumes (of geometric bodies) one moves toward measure theory. Besides the volume, a measure generalizes area, length, mass (or charge) d ...o volume (an example: the set of all rational points inside a given cube). Measure theory succeeded in extending the notion of volume (or another measure) to a vast28 KB (4,311 words) - 08:36, 14 October 2010
- the (cumulative) [[distribution function (measure theory)|distribution function]], defined as <math> F(y) := P (X \le y) </math>,3 KB (436 words) - 08:38, 21 January 2010
- *[[Measure theory]]4 KB (590 words) - 09:17, 26 September 2007
- *[[Measure theory]]3 KB (390 words) - 07:22, 26 September 2007
- ...ibution|discrete probabilities]], [[probability density function]]s, and [[measure theory]]. Conditioning leads to a non-random result if the condition is completely ==Conditioning on the level of measure theory==32 KB (5,149 words) - 15:48, 29 June 2009
- ...ools of choice that were introduced in this effort in the 1960s and 1970s (measure theory and non-standard analysis) -- were substantially more complex than the tool ....edu/top/prin/txt/Comp/PC2.html '''Perfect Competition''']</ref> brought ''measure theory'' <ref name=MEASURETHEORY>[http://econpapers.repec.org/bookchap/eeemathes/32 KB (4,727 words) - 23:15, 7 March 2024