GitHub

SharonWM/cumulative-distribution-function

The PMF function that we saw before works great for inspecting discrete random variables and calculating their expected values. However, we did see that when moving towards continuous random variables ...
JSTOR Daily

Uniform convergence of the empirical cumulative distribution function under informative selection from a finite population

This is a preview. Log in through your library . Abstract Consider informative selection of a sample from a finite population. Responses are realized as independent and identically distributed (i.i.d.
JSTOR Daily

A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models

This is a preview. Log in through your library . Abstract This paper derives an analytic closed-form formula for the cumulative distribution function (cdf) of the ...
GitHub

EliasL/powerlaw-fix-cumulative_distribution_function

For the simplest, typical use cases, this tells you everything you need to know.: import powerlaw data = array([1.7, 3.2 ...]) # data can be list or numpy array ...
TechRepublic

Complementary Cumulative Distribution Function for PerformanceAnalysis of OFDM Signals and Implement PAPR Reduction Techniques in OFDM System Usinng CCDF Function on Matlab

Peak-to-Average Power Ratio (PAPR) is an important parameter for the analysis of Orthogonal Frequency Division Multiplexing (OFDM) signals. CCDF curves are known to have great importance in the study ...
Simon Fraser University

Parametric Distributions

A parametric family of distributions is a collection of distributions with a known form that is indexed by a set of quantities called parameters. Methods based on parametric distributions of normal, ...