The normal distribution is an assumption of many parametric statistical tests, and is typically associated with a Gaussian distribution, often with mean=0 and standard deviation=1. The "bell curve" is the visual, intuitive model for this distribution.
Is there any way to randomly generate a set of positive numbers such that they have a desired mean and …
algorithm statistics gaussian normal-distribution poissonI'm using the following code to fit the normal distribution. The link for the dataset for "b" (too large to …
r statistics distribution normal-distribution fitdistrplusI couldn't find a function in matlab that implement gets mean and standard deviation of normal distribution and plot its …
matlab normal-distribution cdfEDIT: Actually I realized that what I need is the value of X. Let me make it clearer. Suppose, I …
java statistics normal-distributionI have some data I have sampled from a radar satellite image and wanted to perform some statistical tests on. …
python statistics scipy normal-distributionI want to create a normal distributed array with numpy.random.normal that only consists of positive values. For example …
python numpy normal-distributionI've been hunting for a convenient way to sample from a multivariate normal distribution. Does anyone know of a readily …
c++ statistics linear-algebra gaussian normal-distributionWhat is some code to generate normally distributed random numbers in ruby? (Note: I answered my own question, but I'll …
ruby random normal-distributionI want to generate random numbers with a range (n to m, eg 100 to 150), but instead of purely random I …
random gaussian normal-distributionI am using scipy.optimize.fmin_l_bfgs_b to solve a gaussian mixture problem. The means of mixture distributions …
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