Search results for "Discrete random variable" - Rhea

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• ECE PhD QE CNSIP Jan 2001 Problem1
  [[Category:random variables]] Question 1: Probability and Random Processes
  4 KB (616 words) - 10:19, 13 September 2013
• ECE PhD QE CNSIP Jan 2006 Problem1
  [[Category:random variables]] Question 1: Probability and Random Processes
  4 KB (572 words) - 10:24, 10 March 2015
• 2013 Spring ECE 302 Boutin
  Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto Leon-Garcia, *Discrete Random Variables
  10 KB (1,422 words) - 20:14, 30 April 2013
• LectureScheduleECE302Spring13 Boutin
  ==Part 2: Discrete Random Variables (To be tested in the second intra-semestrial exam)== *2.2 Functions of a discrete random variable
  4 KB (498 words) - 10:18, 17 April 2013
• Lecture11 blog ECE302S13 Boutin
  ...short illustration of a research-level image processing problem for which discrete distributions are useful.
  2 KB (307 words) - 10:26, 4 February 2013
• Lecture12 blog ECE302S13 Boutin
  ...xamples. A formula for computing the expectation of a function of a random variable was also given. Along the way, we encountered the geometric series. Those w
  3 KB (341 words) - 09:59, 5 February 2013
• Lecture15 blog ECE302S13 Boutin
  ...iz in which you were asked to compute the Expectation of a discrete random variable. Twitter disrupted the lecture slightly, but I trust all of us will make a
  2 KB (335 words) - 13:00, 18 February 2013
• Lecture16 blog ECE302S13 Boutin
  ...dom variable does not change the variance, and that multiplying the random variable by a constant "a" has the effect of multiplying the variance by <math>a^2</
  2 KB (336 words) - 12:59, 18 February 2013
• Lecture17 blog ECE302S13 Boutin
  ...III of the material with a definition of the concept of "continuous random variable" along with two examples.
  2 KB (321 words) - 11:12, 15 February 2013
• Practice Question probability normalization ECE302S13Boutin
  [[Category:discrete random variable]] ...Problem]]: normalizing the probability mass function of a discrete random variable=
  2 KB (355 words) - 13:50, 13 February 2013
• HW4 ECE302 S13 Boutin
  *On question 16 and 27, how do you deal with a infinite discrete random variable x? How do you calculate the probabilities with only known expected value? ...known, note that it is generally impossible to derive the pmf of a random variable only from its expected value. However, there is something remarkable about
  2 KB (302 words) - 10:52, 19 February 2013
• Lecture18 blog ECE302S13 Boutin
  ...at an example of continuous random variable, namely the exponential random variable.
  2 KB (329 words) - 08:16, 20 February 2013
• Lecture19 blog ECE302S13 Boutin
  In Lecture 19, we continued our discussion of continuous random variables. ...nvent a problem about the expectation and/or variable of a discrete random variable]]
  2 KB (252 words) - 08:20, 20 February 2013
• Lecture20 blog ECE302S13 Boutin
  ...us and discrete) and we began discussing normally distributed (continuous) random variables. ...02S13Boutin|Normalizing the probability mass function of a Gaussian random variable]]
  2 KB (304 words) - 07:43, 23 February 2013
• Bonus point 3 ECE302 Spring2012 Boutin
  ...a problem related to the expectation and/or variance of a discrete random variable and solve it. Then post your problem and solution on a Rhea page, and post [[Category:discrete random variable]]
  3 KB (467 words) - 18:17, 27 February 2013
• ThirdBonusDude91
  ...gory:probability]] [[Category:problem solving]] [[Category:discrete random variable]] [[Category:expectation]] [[Category:variance]]
  4 KB (757 words) - 06:59, 22 February 2013
• ECE302 EC2 Woo
  ...gory:probability]] [[Category:problem solving]] [[Category:discrete random variable]][[Category:expectation]] [[Category:variance]] ...vels from -2 V to 2 V with 1V difference. After the counter has sent out a random signal, each noise level has probability of {1/10,2/10,4/10,2/10,1/10}. The
  2 KB (299 words) - 18:13, 27 February 2013
• Lecture27 blog ECE302S13 Boutin
  ...iable. We also discussed the problem of recovering the pdf/pmf of a random variable from its moment generating function. ...CE302S13Boutin|Obtain the characteristic function of an exponential random variable]]
  2 KB (336 words) - 09:39, 18 March 2013
• Temporary file ECE302S12Boutin
  ...and let Y be the arrival time of the professor. Assume that the 2D random variable (X,Y) is uniformly distributed in the square [2 , 3]x[2,3]. '''2.''' Let (X,Y) be a 2D random variable that is uniformly distributed in the rectangle [1,3]x[5,10].
  3 KB (559 words) - 07:02, 22 March 2013
• Practice Question what is stationary increment property sum process ECE302S13
  [[Category:random process]] ...ariable with the same distribution as the random variable contained in the random process at the time found by differencing the two distinct times mentioned
  9 KB (1,507 words) - 16:23, 23 April 2013