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- *[[quiz4_expectation_discrete_RV_ECE302_S13_Boutin|Quiz 4 Expectation of discrete random variable]] *[[quiz7_expectation_continuousRV_ECE302_S13_Boutin|Quiz 7 Expectation of continuous random variable]]10 KB (1,422 words) - 20:14, 30 April 2013
- *2.3 Moments of discrete random variable (expectation, variance) *3.2 Moments of a continuous random variables (expectation, variance)4 KB (498 words) - 10:18, 17 April 2013
- ...random variable and computed various examples. A formula for computing the expectation of a function of a random variable was also given. Along the way, we encoun3 KB (341 words) - 09:59, 5 February 2013
- ...s equal to c. There was also a quiz in which you were asked to compute the Expectation of a discrete random variable. Twitter disrupted the lecture slightly, but2 KB (335 words) - 13:00, 18 February 2013
- In Lecture 16, we saw an example where the concept of expectation of a random variable can be used to decide on the best winning strategy. Fo2 KB (336 words) - 12:59, 18 February 2013
- ::[[Bonus_point_3_ECE302_Spring2012_Boutin|Invent a problem about the expectation and/or variable of a discrete random variable]]2 KB (252 words) - 08:20, 20 February 2013
- ...owever, note that we had already seen that relation when we looked at the expectation and variance of aX+b in general.3 KB (393 words) - 08:21, 27 February 2013
- Invent a problem related to the expectation and/or variance of a discrete random variable and solve it. Then post your *If your question related to expectation, then add the following code on top of your page:3 KB (467 words) - 18:17, 27 February 2013
- ...ategory:problem solving]] [[Category:discrete random variable]] [[Category:expectation]] [[Category:variance]]4 KB (757 words) - 06:59, 22 February 2013
- ...Category:problem solving]] [[Category:discrete random variable]][[Category:expectation]] [[Category:variance]]2 KB (299 words) - 18:13, 27 February 2013
- ...lked about the expectation of a 2D random variable, and more generally the expectation of any function of a 2D random variable. In particular, we looked at the co2 KB (324 words) - 13:11, 5 March 2013
- Topic: Expectation of discrete random variable :for an appropriate chosen constant C. What is the expectation of X?782 B (106 words) - 14:19, 25 April 2013
- Topic: Expectation of continuous RV784 B (104 words) - 14:41, 25 April 2013
- Let <math>\lambda_x = E[Y_x]</math> be the expectation of the number of photons at depth <math>x</math>.9 KB (1,390 words) - 07:24, 26 February 2014
- *[[lineariy_of_expectation_proof_mhossain|Linearity of Expectation]]2 KB (227 words) - 11:15, 6 October 2013
- The expectation function is a linear function. i.e.<br/> where <math>E</math> is the expectation function, <math>X</math> and <math>Y</math> are random variables with distr3 KB (585 words) - 14:15, 13 June 2013
- *[[ECE600_F13_Expectation_mhossain|Random Variables: Expectation]] *[[ECE600_F13_Joint_Expectation_mhossain|Joint Expectation]]2 KB (227 words) - 12:10, 21 May 2014
- [[ECE600_F13_Expectation_mhossain|Next Topic: Expectation]] [[ECE600_F13_Expectation_mhossain|Next Topic: Expectation]]9 KB (1,723 words) - 12:11, 21 May 2014
- <font size= 3> Topic 9: Expectation</font size> ...describe X probabilistically using only a small number of parameters. The expectation is often used to do this.8 KB (1,474 words) - 12:12, 21 May 2014
- [[ECE600_F13_Expectation_mhossain|Previous Topic: Expectation]]<br/> This expectation depends on <math>\omega</math> ∈ '''R''' and will be the characteristic f5 KB (804 words) - 12:12, 21 May 2014
