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• Properties of classes of sets closed under set-subtraction
  ==Notes for further claims== ==Notes==
  3 KB (490 words) - 11:38, 21 August 2016
• Poisson distribution
  |data1=[[Discrete probability distribution|Discrete]], over {{M|\mathbb{N}_{\ge 0} }} |label2=[[Probability mass function|p.m.f]]
  8 KB (1,401 words) - 00:52, 20 July 2018
• Example:Joint probability distribution
  Define a [[probability space]], {{M|(S,\Omega,\mathbb{P})}} as follows: ** Think of {{M|X}} as categorising the {{link|elementary event||s}} as "low" ({{M|0}} and {{M|1}}) and "high" ({{M|2}} and {{M|3}})
  7 KB (1,100 words) - 19:36, 13 September 2017
• Statistical independence
  ...})}} be a [[probability space]] and let {{M|A,B\in\Omega}} be {{link|event|probability|s}}. We say "{{M|A}} and {{M|B}} are ''statistically independent'' if: * The probability of {{M|A}} is the same as the probability of {{M|A}} given {{M|B}} has occurred, and,
  2 KB (372 words) - 13:47, 17 October 2017
• Rectangular distribution
  ==Notes== * [[probability density function]] {{M|f:[a,b]\rightarrow\mathbb{R}_{\ge 0} }} by {{M|f:x\m
  1 KB (204 words) - 05:44, 15 January 2018
• Deriving the exponential distribution from the time between event in a Poisson distribution
  ==Notes== ==Notes==
  2 KB (298 words) - 03:16, 6 April 2018
• Memoryless property
  ==Notes== {{Definition|Statistics|Probability|Elementary Probability}}
  1 KB (221 words) - 23:02, 11 November 2017
• Exponential distribution
  ==Notes== {{Definition|Elementary Probability|Statistics|Probability}}
  191 B (17 words) - 23:06, 11 November 2017
• Exponential distribution/Definition
  * the [[probability density function]], {{M|f:\mathbb{R}_{\ge 0}\rightarrow\mathbb{R}_{\ge 0} } ==Notes==
  1 KB (192 words) - 01:27, 16 March 2018
• The sum of two random variables with Poisson distributions is a Poisson distribution itself
  ...e^{-(\lambda+r)} \frac{(\lambda+r)^k}{k!} }} - which the definition of the probability of a [[Poisson distribution|Poisson random variable]] being equal to {{M|k} ==Notes==
  3 KB (536 words) - 22:46, 4 November 2017
• Mdm of the Poisson distribution
  ==Notes== {{Theorem Of|Probability|Statistics|Elementary Probability}}
  7 KB (1,308 words) - 00:27, 8 November 2017
• Maximum (random variable)
  {{Stub page|This page is currently little more than notes, beware. [[User:Alec|Alec]] ([[User talk:Alec|talk]]) 18:56, 26 November 20 ==Definition notes==
  4 KB (791 words) - 18:57, 26 November 2017
• Poisson race distribution
  ...M|\sum_{i\in\mathbb{N}_0}a_i}} means {{M|\sum^\infty_{i\eq 0}a_i}} - see [[Notes:Infinity notation]]</ref>, which may be written: ====NOTES for {{M|k<0}}====
  6 KB (1,141 words) - 10:33, 24 December 2018
• Median (sample)
  ...subset of the natural numbers. There are some options in this case, see [[Notes:Median of an ordered unit type sample]]. ==Notes==
  3 KB (526 words) - 07:25, 11 December 2017
• Geometric distribution/Infobox
  <span style="font-size:0.75em;">''for {{M|p}} the [[probability (event)|probability]] of each trials' success''</span> |label2=[[probability mass function|p.m.f]]
  1 KB (226 words) - 15:13, 16 January 2018
• Expectation of the geometric distribution
  ...Geometric distribution|{{M|\text{Geo} }}]]{{M|(p)}} where {{M|p}} is the [[probability]] of any trial being a success, and each trial is {{iid}} as {{M|X_i\sim}}[ ==Notes==
  8 KB (1,522 words) - 02:55, 16 January 2018
• Variance of the geometric distribution
  ==Notes== {{Theorem Of|Probability|Statistics|Elementary Probability}}
  3 KB (613 words) - 15:08, 16 January 2018
• Mdm of a discrete distribution lemma
  :* [[Notes:Mdm of a discrete distribution lemma]] :* [[Notes:Mdm of a discrete distribution lemma - round 2]]{{ProbMacros}}
  2 KB (419 words) - 17:53, 24 January 2018
• Notes:Mdm of a discrete distribution lemma
  =Original notes= ==Page notes==
  6 KB (1,125 words) - 01:31, 22 January 2018
• Notes:Mdm of a discrete distribution lemma - round 2
  ==Notes== {{Notes|Statistics|Probability|Elementary Probability}}
  3 KB (508 words) - 21:01, 24 January 2018