Search results for "Uniform random variable" - Rhea

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• Practice Question uniform random variable mean ECE302S13Boutin
  [[Category:continuous random variable]] ...roblem]]: normalizing the probability mass function of a continuous random variable=
  2 KB (288 words) - 15:49, 22 March 2013
• Practice Question uniform random variable mean CDF ECE302S13Boutin
  #REDIRECT [[Practice Question uniform random variable mean ECE302S13Boutin]]
  76 B (10 words) - 07:33, 25 February 2013
• Practice Question uniform random variable CDF ECE302S13Boutin
  [[Category:continuous random variable]] ...roblem]]: normalizing the probability mass function of a continuous random variable=
  2 KB (401 words) - 04:52, 4 March 2013
• Practice Question uniform random variable CDF2 ECE302S13Boutin
  #REDIRECT [[Practice Question linear random variable probability ECE302S13Boutin]]
  82 B (10 words) - 07:43, 25 February 2013

Page text matches

• Homework7 ECE302Fall2008sanghavi
  == Problem 1: Arbitrary Random Variables == Let <math>U</math> be a uniform random variable on [0,1].
  4 KB (596 words) - 12:57, 22 November 2011
• Arie Lyles 7.1 ECE302Fall2008sanghavi
  ...the function is a "non-decreasing function" and that U is a uniform random variable. This is enough information to make this step. So, ...x)) = F(x)\quad \text{(because }\Pr(U \leq y) = y,\text{ since }U\text{ is uniform on the unit interval)}
  862 B (156 words) - 05:42, 21 October 2008
• Daniel Truax ECE302Fall2008sanghavi
  ...correct, I forgot the 2pi factor to change the range of the uniform random variable from [0-1] to [1-2pi].
  318 B (57 words) - 16:07, 21 October 2008
• Emir Kavurmacioglu ECE302Fall2008sanghavi
  OK, so what we have initially is a uniform random variable on the interval [0,1]. ...hat an exponential random variable with λ=0.5 is made out of two gaussian random variables with the relationship '''<math>D=X^2+Y^2</math>'''
  1 KB (186 words) - 11:47, 21 October 2008
• Homework8 ECE302Fall2008sanghavi
  *(a) What is the maximum variance possible for a Bernoulli random variable? *(b) What is the maximum variance possible for a binomial random variable, with parameter <math>n = 1000</math>?
  3 KB (528 words) - 12:58, 22 November 2011
• Homework9 ECE302Fall2008sanghavi
  The parameter of an exponential random variable has to be estimated from one sample. What is the ML estimator? Is it unbias == Problem 4: Uniform Parameter Estimation ==
  3 KB (500 words) - 12:50, 22 November 2011
• Homework10 ECE302Fall2008sanghavi
  == Problem 1: Random Point, Revisited== In the following problems, the random point (X , Y) is uniformly distributed on the shaded region shown.
  4 KB (703 words) - 12:58, 22 November 2011
• Publications Old Kiwi
  *'''I. Guyon and A. Elisseeff, "An Introduction to Variable and Feature Selection", Journal of Machine Learning Research, vol. 3, pp.11 Variable and feature selection have become the focus of much research in areas of ap
  39 KB (5,715 words) - 10:52, 25 April 2008
• Lab2 Old Kiwi
  ...{-j\nu}). Use the fact that the sequence was derived from a uniform random variable. The link below (from wikipedia) is useful to get the info you need from th ...ndering if its ok to use randn instead when we want to generate the random variable between -0.5 and 0.5...
  2 KB (258 words) - 00:51, 22 March 2008
• Probability Formulas
  ...d-inline-policy: -moz-initial;" colspan="2" | Expectation and Variance of Random Variables | align="right" style="padding-right: 1em;" | Binomial random variable with parameters n and p
  3 KB (491 words) - 12:54, 3 March 2015
• Probability Distribution
  | Random variable | Uniform <math> U(a,b) </math>
  6 KB (851 words) - 15:34, 23 April 2013
• Practice Question probability meeting occurs ECE302S13Boutin
  [[Category:continuous random variable]] [[Category:uniform random variable]]
  2 KB (284 words) - 11:49, 26 March 2013
• Practice Question find conditional pdf ECE302S13Boutin
  [[Category:continuous random variable]] [[Category:uniform random variable]]
  1 KB (157 words) - 11:59, 26 March 2013
• Practice Question find conditional ellipse ECE302S13Boutin
  [[Category:continuous random variable]] [[Category:uniform random variable]]
  1,022 B (148 words) - 12:00, 26 March 2013
• Lecture25 blog ECE302S13 Boutin
  ...nal density when the condition is an event B (instead of the event "random variable Y=y").
  3 KB (350 words) - 11:24, 6 March 2013
• Bonus point 4 ECE302 Spring2012 Boutin
  *[[Practice Question uniform random variable mean ECE302S13Boutin|Laroche - Compute the mean]] ...302S13Boutin|Kecheng/li485 - Compute first order moment of Gaussian random variable]]
  2 KB (232 words) - 10:56, 14 April 2013
• Lab2 OldKiwi
  ...{-j\nu}). Use the fact that the sequence was derived from a uniform random variable. The link below (from wikipedia) is useful to get the info you need from th ...ndering if its ok to use randn instead when we want to generate the random variable between -0.5 and 0.5...
  2 KB (264 words) - 08:05, 9 April 2013
• ECE600 F13 rv distribution mhossain
  [[ECE600_F13_rv_definition_mhossain|Previous Topic: Random Variables: Definitions]]<br/> [[ECE600_F13_notes_mhossain|'''The Comer Lectures on Random Variables and Signals''']]
  15 KB (2,637 words) - 12:11, 21 May 2014
• ECE600 F13 Expectation mhossain
  ...unctions_of_random_variable_mhossain|Previous Topic: Functions of a Random Variable]]<br/> [[ECE600_F13_notes_mhossain|'''The Comer Lectures on Random Variables and Signals''']]
  8 KB (1,474 words) - 12:12, 21 May 2014
• ECE600 F13 Conditional Expectations for Two Random Variables mhossain
  [[ECE600_F13_notes_mhossain|'''The Comer Lectures on Random Variables and Signals''']] <font size= 3> Topic 16: Conditional Expectation for Two Random Variables</font size>
  4 KB (875 words) - 12:13, 21 May 2014
• ECE-QE CS1-2012 solusion-2
  <font size="4">Question 1: Probability and Random Processes </font> ...f{X}_{n} \dots </math> be a sequence of independent, identical distributed random variables, each uniformly distributed on the interval [0, 1], an hence havi
  12 KB (1,948 words) - 10:16, 15 August 2014
• Walther375Spring2014 Markov chains: what and how?
  ...cess. 
 A stochastic process { X(t), t∈T } is an ordered collection of random variables, T where T is the index set and if t is a time in the set, X(t) i ...h models that use X1,…,Xn as independently identically distributed (iid) random variables. However, note that states do not necessarily have to be independ
  19 KB (3,004 words) - 09:39, 23 April 2014
• How to generate random data two classes Minwoong Kim review
  ...nd way was using a uniform random variable in vector operations. A uniform random vector of the same size of the whole dataset is first generated, whose each ...ld be easy to understand even for people who do not have deep knowledge in random variables & probabilities. The demonstrations (figures & codes) in MATLAB w
  3 KB (508 words) - 16:12, 14 May 2014
• Bayes Parameter Estimation
  ...ven value of θ is denoted by p(x|θ ). It should be noted that the random variable X and the parameter θ can be vector-valued. Now we obtain a set of indepen ...s parameter estimation, the parameter θ is viewed as a random variable or random vector following the distribution p(θ ). Then the probability density func
  15 KB (2,273 words) - 10:51, 22 January 2015
• Maximum Likelihood Estimation Analysis for various Probability Distributions
  ...Geometric Distribution, Binomial Distribution, Poisson Distribution, and Uniform Distribution ** Uniform Distribution
  12 KB (1,986 words) - 10:49, 22 January 2015