FAQ Database Discussion Community


CDF for a truncated poisson distribution

matlab,probability,truncate,cdf
Hi Iam looking for the cumulative distribution function for truncated poisson random variable. I can find it for the regular "poisson cdf", MATLAB gives this: p = poisscdf(x,lambda) returns the Poisson cdf at each value in x using the corresponding mean parameters in lambda Is there an analogue to a...

implement empirical cdf c++

c++,qt-creator,cdf
I want to define empirical cdf in C++ according to intervals fixed by N samples received and I should save the 2 vectors (T and Y)! I made this code but it didn't work: double cum_dist_funct::real_cdf_function(vec X,double x,int N,int Ndft,vec &T, vec &Z) { Z.set_size(X.length()); Z.zeros(); vec V; V.set_size(N); V.zeros();...

Any obvious pitfalls in this Student's t-distribution CDF computation?

javascript,statistics,cdf
I have been looking for an efficient function that computes the CDF (cumulative distribution function) for the Student's t-distribution. Here's what I have settled with after looking at another stackoverflow question, JStat library, the_subtprob function on Line 317 here. Looking at the notes in the last reference led me to...

Cumulative distribution function (hypergeometric)

python-2.7,cdf
I need to find out how to calculate the 'hypergeometric cdf': I know how the function looks like and how it works but I have a few problems tipping the function into python: def hypergeometricCDF(N,K,n,x): """ Call: p = hypergeometricCDF(N,K,n,x) Input argument: N: integer K: integer n: integer x: integer...

Inverse of the cumulative function of a lognormal distribution in C++ [closed]

c++,inverse,cdf
I'm looking for a function implementation (or library) in C++ that could calculate the value of the inverse of the cumulative function of a lognormal distribution. I had no luck finding it. Any help would be hugely appreciated!...

python: finding the value of a random variable for a cdf

python,statistics,scipy,normal-distribution,cdf
I apologize in advance if this is poorly worded. If I have a stdDev = 1, mean = 0, scipy.stats.cdf(-1, loc = 0, scale = 1) will give me the probability that a normally distributed random variable will be <= -1, and that is 0.15865525393145707. Given 0.15865..., how do I...

Mathematica: difficulty using Multinormal Distribution and InverseCDF functions

statistics,wolfram-mathematica,normal-distribution,cdf
I'm struggling to use the functions MultinormalDistribution and InverseCDF in MultivariateStatistics package. Essentially << MultivariateStatistics` sig = .5; u = .5; dist = MultinormalDistribution[{0, 0}, sig*IdentityMatrix[2]]; delta=InverseCDF[dist, 1 - u] The output is InverseCDF[ MultinormalDistribution[{0, 0}, {{0.5, 0}, {0, 0.5}}], {0.5}] can someone correct the above code? If I've understood...

Way to get the value of an empifical cdf

r,order,cdf
All, I have an array as follows: x=runif(1) cdf=cumsum(c(.2,.5,.1,.05,.05,.01,.09)) >p [1] 0.20 0.70 0.80 0.85 0.90 0.91 1.00 How do I return the index of the corresponding cdf entry for x? for example, .1 would return 1, .98 would return 7)...

How to get cumulative distribution function correctly for my data in python?

python-2.7,cdf
Hello everyone i have a list of values for which i need to get cumulative distribution function i have saved this list in a variable name yvalues [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0,...

How to set x-axis with decreasing power values in equal sizes

r,plot,ggplot2,cdf
Currently I am doing some cumulative distribution plot using R and I tried to set x-axis with decreasing power values (such as 10000,1000,100,10,1) in equal sizes but I failed: n<-ceiling(max(test)) qplot(1:n, ecdf(test)(1:n), geom="point",xlab="check-ins", ylab="Pr(X>=x)")+ geom_step() +scale_x_reverse(breaks=c(10000,1000,100,10,1)) +scale_shape_manual(values=c(15,19)) It seems that the output has large interval for 10000, then all the...