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- X is a bernoulli RV with Pr[x=1]=p (unknown)916 B (151 words) - 13:39, 22 November 2011
- [[Category:Bernoulli]] = Bernoulli History =9 KB (1,558 words) - 15:55, 18 February 2015
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- * [[Confidence Interval Bernoulli RV_ECE302Fall2008sanghavi]]5 KB (663 words) - 13:02, 22 November 2011
- '''The common random variables:''' bernoulli, binomial, geometric, and how they come about in problems. Also their PMFs. Bernoulli R.V "one biased coin"3 KB (525 words) - 13:04, 22 November 2011
- *(a) What is the maximum variance possible for a Bernoulli random variable?3 KB (528 words) - 12:58, 22 November 2011
- To find the maximum variance of a Bernoulli RV first find the variance equation. We know that for Bernoulli RVs384 B (69 words) - 13:16, 2 November 2008
- For Bernoulli RVs,150 B (26 words) - 18:56, 3 November 2008
- X is a bernoulli RV with Pr[x=1]=p (unknown)916 B (151 words) - 13:39, 22 November 2011
- *Please swap the exponents in (Bernoulli)PMF equation on page 12.3 KB (543 words) - 12:55, 12 December 2008
- === Bernoulli Distribution === '''Observations''': k successes in n Bernoulli trials.2 KB (366 words) - 10:14, 20 May 2013
- Part (a) is not very hard. One can use the Bernoulli inequality. I will just indicate the basic steps and you will have to fill Step 2. Use a Bernoulli inequality to obtain the following:2 KB (345 words) - 11:36, 11 March 2010
- <br/><br/>7. Poisson process, Bernoulli process2 KB (231 words) - 07:20, 4 May 2010
- A biography of [[Bernoulli_History| Daniel Bernoulli]]3 KB (552 words) - 07:12, 11 July 2012
- ='''1.4.1 Bernoulli distribution'''= ...which represents the number of success from <math class="inline">n</math> Bernoulli trials.5 KB (921 words) - 11:25, 30 November 2010
- There are Bernoulli trials at every <math class="inline">dt</math> and the probability of succ5 KB (920 words) - 11:26, 30 November 2010
- Suppose customer orders arrive according to an i.i.d. Bernoulli random process <math class="inline">\mathbf{X}_{n}</math> with parameter <14 KB (2,439 words) - 08:29, 27 June 2012
- ...}_{1},\mathbf{X}_{2},\mathbf{X}_{3},\cdots</math> be a sequence of i.i.d Bernoulli random variables with <math class="inline">p=1/2</math> , and let <math cla12 KB (1,920 words) - 08:28, 27 June 2012
- [[Category:Bernoulli]] = Bernoulli History =9 KB (1,558 words) - 15:55, 18 February 2015
- | Bernoulli6 KB (851 words) - 15:34, 23 April 2013
- * [[Confidence Interval Bernoulli RV_ECE302Fall2008sanghavi]]7 KB (960 words) - 18:17, 23 February 2015
- | [[Media:Walther_MA375_02February2012.pdf| Bernoulli Trials,Random Variables]]3 KB (418 words) - 06:38, 21 March 2013
- <u>Bernoulli Trial</u>- Each performance of an experiment where there are only 2 possibi <u>The probability of exactly k successes in n independent Bernoulli Trials</u>- C(n,k)p<sup>k</sup> q<sup>n-k</sup> , where the probabili12 KB (2,113 words) - 06:50, 21 March 2013