hypergeometric distribution

1. Dissociation data and discrete distributionDissociation data is usually data that can only be represented by integers. For example, the number of people in a province, the number of planets in a unit volume in the universe, etc.1.1 The discrete

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 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

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

Two items distributed:Based on the most basic discrete random variable--Bernoulli random variable x, we perform n repetition experiments, the probability distribution result is so-called two-item distribution.Specifically, the probability of a

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

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),

The stat2.3x inference (statistical inference) course was taught at the EdX platform by the University of California, Berkeley (University of California, Berkeley) in 2014.Download PDF Note (academia.edu)Summary Test of Hypotheses

The stat2.2x probability (probability) course was taught at the EdX platform in 2014 by the University of California, Berkeley (University of California, Berkeley).Download PDF Note (academia.edu)Practice problems for the midtermProblem 1In a group

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