Create the page "Poisson distribution" on this wiki! See also the search results found.
- ...binomial distribution and make n large and p small, do you get the poisson distribution ?)326 B (57 words) - 08:07, 12 September 2008
- ...Binomial and Poisson Distributions_Old Kiwi|Examples of MLE: Binomial and Poisson Distributions]] ...Binomial and Poisson Distributions_Old Kiwi|Examples of MLE: Binomial and Poisson Distributions]]10 KB (1,488 words) - 10:16, 20 May 2013
- [[Category:exponential distribution]] [[Category:geometric distribution]]3 KB (498 words) - 10:13, 20 May 2013
- [[Category:binomial distribution]] [[Category:poisson distribution]]2 KB (366 words) - 10:14, 20 May 2013
- ...pics Covered''': An introductory treatment of probability theory including distribution and density functions, moments and random variables. Applications of normal <br/><br/>3. Independence, Cumulative Distribution Function (used in ECE 438), Probability Density Function (used in ECE 438),2 KB (231 words) - 07:20, 4 May 2010
- *[[Probability_Distribution|Probability Distribution]] ...on_of_two_independent_Poisson_random_variables|Addition of two independent Poisson random variables]]2 KB (238 words) - 12:14, 25 September 2013
- =Addition of two independent Poisson random variables = ...where <math>\mathbf{X}</math> and <math>\mathbf{Y}</math> are independent Poisson random variables with means <math>\lambda</math> and <math>\mu</math>, resp3 KB (557 words) - 12:11, 25 September 2013
- *[[ECE 600 Prerequisites Poisson Random Process|Poisson Random Process]] ...tribution Function) and PDF (Probability Density Function)|CDF (Cumulative Distribution Function) and PDF (Probability Density Function)]]1 KB (139 words) - 13:13, 16 November 2010
- ='''1.4.1 Bernoulli distribution'''= ='''1.4.2 Binomial distribution'''=5 KB (921 words) - 11:25, 30 November 2010
- ='''1.5 Poisson Process'''= ...f{N}\left(t\right),\; t\geq0\right\}</math> is the Poinsson process. The distribution of <math class="inline">\mathbf{N}\left(t\right)</math> is gained by inser5 KB (920 words) - 11:26, 30 November 2010
- '''1.6.1 Gaussian distribution (normal distribution)''' <math class="inline">\mathcal{N}\left(\mu,\sigma^{2}\right)</math> '''1.6.2 Log-normal distribution <math class="inline">\ln\mathcal{N}\left(\mu,\sigma^{2}\right)</math>'''5 KB (843 words) - 11:27, 30 November 2010
- ...er of hits <math class="inline">\mathbf{X}</math> in a baseball game is a Poisson random variable. If the probability of a no-hit game is 1/3 , what is the p ...athbf{Y}\left(t_{1}\right),\mathbf{Y}\left(t_{2}\right)\right)</math> has distribution <math class="inline">N\left[0,0,N_{0}T,N_{0}T,1-\frac{\left|\tau\right|}{T}12 KB (2,205 words) - 07:20, 1 December 2010
- ...the origin (the lower left corner of the unit square). Find the cumulative distribution function (cdf) <math class="inline">F_{\mathbf{X}}\left(x\right)=P\left(\le ...stars within a galaxy is accurately modeled by a 3-dimensional homogeneous Poisson process for which the following two facts are known to be true:10 KB (1,652 words) - 08:32, 27 June 2012
- ...applied to <math class="inline">\mathbf{Y}</math> will yield the desired distribution for <math class="inline">\mathbf{X}</math> ? Prove your answer. ...at the origin. You must quote, but do not have to prove, properties of the Poisson process that you use in your solutions to the following questions:10 KB (1,608 words) - 08:31, 27 June 2012
- ...except that it deals with the exponential random variable rather than the Poisson random variable. ...ion of the [[ECE 600 Prerequisites Continuous Random Variables|exponential distribution]], <math class="inline">f_{\mathbf{X}}\left(x\right)=\frac{1}{\mu}e^{-\frac14 KB (2,358 words) - 08:31, 27 June 2012
- ...X}_{2},\cdots,\mathbf{X}_{n},\cdots</math> converges in distribution to a Poisson random variable having mean <math class="inline">\lambda</math> . ...<math class="inline">\mathbf{X}_{n}</math> converges in distribution to a Poisson random variable with mean <math class="inline">\lambda</math> .10 KB (1,754 words) - 08:30, 27 June 2012
- ...telephone towers can be accurately modeled by a 2-dimensional homogeneous Poisson process for which the following two facts are know to be true: 1. The number of towers in a region of area A is a Poisson random variable with mean \lambda A , where \lambda>0 .9 KB (1,560 words) - 08:30, 27 June 2012
- ...\{ \mathbf{X}_{n}\right\} _{n\geq1}</math> converges in distribution to a Poisson random variable <math class="inline">\mathbf{X}</math> with mean <math cla ...mathbf{Y}_{3},\cdots</math> converge in distribution? If yes, what is the distribution of the random variable it converges to?10 KB (1,636 words) - 08:29, 27 June 2012
- =Example. Addition of two independent Poisson random variables= ...hbf{X}</math> and <math class="inline">\mathbf{Y}</math> are independent Poisson random variables with means <math class="inline">\lambda</math> and <math3 KB (532 words) - 11:58, 30 November 2010
- ...\{ \mathbf{X}_{n}\right\} _{n\leq1}</math> converges in distribution to a Poisson random variable <math>\mathbf{X}</math> with mean <math>\lambda</math> . ...math>n\rightarrow\infty</math> , which is the characteristic function of a Poisson random variable with mean <math>\lambda</math> .3 KB (470 words) - 13:02, 23 November 2010
