hypergeometric distribution function

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Common probability distribution types and features

3.1 Two-Point Distribution and even distribution1. Two-Point DistributionMany random events have only two results. If the result of the product is qualified or unqualified, the product or reliable work may fail. This type of random event variable

Discrete variable distribution

Discrete variable refers to the variable can only take discrete isolated values, usually by the number of units of measurement, such as number, number of units. Many of the distributions of discrete variables are related to last, so let's take a

Probability and statistical knowledge Review (2) One-Dimensional Random Variables and Probability Distribution

1. Concept of Random Variables As the name implies, a random variable is a variable with a random value. The opposite of a random variable is a "deterministic variable", that is, the variable whose value follows a certain strict rule, such as the

Introduction to MATLAB mathematical statistics Toolbox)

This document is a PDF format directly converted from the Internet, Introduction to MATLAB mathematical statistics toolbox1. OverviewThe Mathematical Statistics toolbox of MATLAB is a relatively simple tool in the MATLAB toolbox. The mathematical

Machine Learning Basic Knowledge

Common Data Mining & machine learning knowledge (points)Basis (Basic):MSE (meansquare error mean square), LMS (Least meansquare min-squared), LSM (Least square Methods least squares), MLE (Maximum Likelihoodestimation Maximum likelihood estimation),

NumPy's Random module

Documents translated from the official website. Transfer from http://www.mamicode.com/info-detail-507676.htmlRandom Sampling (Numpy.random) Simple Random data Rand (D0, D1, ..., DN) Random values>>> Np.random.rand (3

All the random number functions of MATLAB

All the random number functions of MATLAB(i) MATLAB internal functionsA. basic random numberThere are two basic functions for generating random numbers in MATLAB.1 . rand ()Generates a random variable that is evenly distributed over the (0,1)

GNU Scientific Library

The GNU Scientific Library is a powerful c,c++ math repository. It covers a wide range of facets, and the code is highly efficient and rich in interfaces. This library was found in a recent project where multiple Gaussian distributions were used.

GSL-GNU (Scientific Library)

GSL (GNU Scientific Library) is a library written in C for scientific computing. Below are some related packages Desired=Unknown/Install/Remove/Purge/Hold| Status=Not/Inst/Cfg-files/Unpacked/Failed-cfg/Half-inst/trig-aWait/Trig-pend|/

Basic machine learning Algorithms

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP

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