This is a fast negative-binomial distribution for Python and C++, optimised for small repeated integer counts such as those seen in single-cell RNA sequencing data, and including zero inflation.
This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts for ...
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Cumulative Probability Distribution Functions (CDFs)
Cumulative Probability Distribution Functions (CDFs) Learn how to work with cumulative probability distribution functions (CDFs) for both discrete and continuous random variables. In this video, we ...
Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric ...
What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
Abstract: In this work, the Cumulative Distribution Function (CDF) and the Probability Density Function (PDF) are examined for a data set of finite elements. The CDF and the PDF are valid only for the ...
ABSTRACT: Maximum likelihood and Bayes estimators of the parameters, survival function (SF) and hazard rate function (HRF) are obtained for the three-parameter exponentiated Burr type XII distribution ...
Abstract: Order n de Bruijn sequences are the period 2 n binary sequences from n-stage feedback shift registers. The de Bruijn sequences have good randomness and complexity properties. The quantity of ...
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