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I have an extended binomial distribution which has the following form: http://r.789695.n4.nabble.com/file/n4635699/kb.png Here alpha and beta are two parameters and x=0,1,2,3,...n (alike the binomial distribution) I am writing a function to find out the densities (probabilities) of this distribution for given values of alpha and beta. The below is the my function...

Hi, Here i have an matrix like this, ABC PQR XYZ MNO ------ ------- ------ -------- 3 6 7 15 2 12 24 15 20 5 1 2 25 50 15 35 i need to get the "MODE" - for each column-wise "VARIANCE" - for

Hi everyone! I am using the mle {stats4} to estimate the parameters of distributions by MLE method. I have a problem with the examples they provided with the mle{stats4} html files. Please check the example and my question below! *Here is the mle html help file * http://stat.ethz.ch/R-manual/R-devel/library/stats4/html/mle.html http://stat.ethz.ch/R-manual/R-devel/library/stats4/html/mle.html

Hi, The following distribution is known as Kumaraswamy binomial Distribution. http://r.789695.n4.nabble.com/file/n4636782/kb.png For a given data I need to estimate the paramters (alpha and beta) of this distribution(Known as Kumaraswamy binomial Distribution, A Binomial Like Distribution). For that, in order to use *optim()*, I first declared the Negative Log-likelihood of this distribution as

Hi everyone! I already posted http://r.789695.n4.nabble.com/Declaring-a-density-function-with-for-loop-td4635699.html a question on finding density values of a new Binomial like distribution which has the following pmf: http://r.789695.n4.nabble.com/file/n4636134/kb.png Thank fully http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=user_nodes&user=124474 Berend Hasselman and