Statistics-related lists | Probability distributions | Types of probability distributions

List of probability distributions

Many probability distributions that are important in theory or applications have been given specific names. (Wikipedia).

List of probability distributions
Video thumbnail

Probability Distribution Functions and Cumulative Distribution Functions

In this video we discuss the concept of probability distributions. These commonly take one of two forms, either the probability distribution function, f(x), or the cumulative distribution function, F(x). We examine both discrete and continuous versions of both functions and illustrate th

From playlist Probability

Video thumbnail

What is a Sampling Distribution?

Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat

From playlist Probability Distributions

Video thumbnail

Uniform Probability Distribution Examples

Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.

From playlist Probability Distributions

Video thumbnail

Probability DISTRIBUTIONS for Discrete Random Variables (9-3)

A Probability Distribution: a mathematical description of (a) all possible outcomes for a random variable, and (b) the probabilities of each outcome occurring. Can be tabular (i.e., frequency table) or graphical (i.e., bar chart or histogram). For a discrete random variable, the underlying

From playlist Discrete Probability Distributions in Statistics (WK 9 - QBA 237)

Video thumbnail

Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

From playlist Statistics (Full Length Videos)

Video thumbnail

Definition of a Discrete Probability Distribution

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Definition of a Discrete Probability Distribution

From playlist Statistics

Video thumbnail

(PP 6.1) Multivariate Gaussian - definition

Introduction to the multivariate Gaussian (or multivariate Normal) distribution.

From playlist Probability Theory

Video thumbnail

Binomial Probability Distribution with a Casio Graphical Calculator

Binomial Probability Distribution using a Casio graphical calculator, Revise AS Level and A level Maths (7357) N: Statistical Distributions, Statistics and Probability S1 and IB Mathematics SL Statistics and Biology. Generate individual probabilities or the entire distribution. #MathsRul

From playlist IB Statistics SL

Video thumbnail

Computational Linguistics I: Python and Probability

Lecture introducing the course, overview of technology and math used in the course.

From playlist Computational Linguistics I

Video thumbnail

Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 16 - probabilistic classification

Professor Sanjay Lall Electrical Engineering To follow along with the course schedule and syllabus, visit: http://ee104.stanford.edu To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/

From playlist Stanford EE104: Introduction to Machine Learning Full Course

Video thumbnail

Probability functions: pdf, CDF and inverse CDF (FRM T2-1)

[Here is my XLS @ http://trtl.bz/2AgvfRo] A function is a viable probability function if it has a valid CDF (i.e., is bounded by zero and one) which is the integral of the probability density function (pdf). The inverse CDF (aka, quantile function) returns the quantile associated with a pr

From playlist Quantitative Analysis (FRM Topic 2)

Video thumbnail

Live CEOing Ep 307: CategoricalDistribution Review in Wolfram Language

Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about CategoricalDistribution Review in the Wolfram Language.

From playlist Behind the Scenes in Real-Life Software Design

Video thumbnail

Casio Classwiz - Binomial Probability Distribution using Calculator FX-991EX FX991EX for A Level IB

Binomial Probability Distribution using a Casio Classwiz FX-991EX, Revise AS Level and A level Mathematics (7357) N: Statistical Distributions, Statistics and Probability S1 and IB Math SL Statistics and Biology. Generate individual probabilities or the entire distribution. #MathsRulesFo

From playlist 2017 AS Level Further Mathematics Statistics 2 New Specification Revision (AQA Edexcel OCR MEI)

Video thumbnail

Excel Statistical Analysis 23: Discrete Probability Distributions: Terms and Definitions

Download Excel File: https://excelisfun.net/files/Ch05-ESA.xlsm PDF notes file: https://excelisfun.net/files/Ch05-ESA.pdf Learn about: Topics: 1. (00:00) Introduction. 2. (00:40) Define: Random Variable. 3. (01:40) Define: Discrete and Continuous Random Variables. 4. (03:55) Define: Probab

From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun

Video thumbnail

Binomial and geometric distributions | Probability and Statistics | NJ Wildberger

We review the basic setup so far of a random variable X on a probability space (S,P), taking on values x_1,x_2,...,x_n with probabilities p_1,p_2,...,p_n. The associated probability distribution is just the record of the various values x_i and their probabilities p_i. It is this probabili

From playlist Probability and Statistics: an introduction

Video thumbnail

Scientific Computing Skills 5. Lecture 06.

UCI Chem 5 Scientific Computing Skills (Fall 2012) Lec 06. Scientific Computing Skills View the complete course: http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html Instructor: Douglas Tobias, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info.

From playlist UC Irvine Chemistry 5: Scientific Computing Skills

Video thumbnail

Kurtosis of a probability distribution (FRM T2-7)

[Here is my xls http://trtl.bz/121817-yt-kurtosis-xls] Kurtosis is the standardized fourth central moment and is a measure of tail density; e.g., heavy or fat-tails. Heavy-tailedness also tends to correspond to high peakedness. Excess kurtosis (aka, leptokurtosis) is given by (kurtosis-3).

From playlist Quantitative Analysis (FRM Topic 2)

Related pages

Beta distribution | Geometric stable distribution | Queueing theory | Gamma distribution | Mean | Analysis of variance | Cumulative distribution function | Folded normal distribution | Behrens–Fisher problem | Inverse-gamma distribution | Multivariate normal distribution | Champernowne distribution | Compound Poisson distribution | Mixture distribution | Hotelling's T-squared distribution | Birnbaum–Saunders distribution | Matrix normal distribution | Generalized extreme value distribution | Zeta distribution | Poisson distribution | Generalized logistic distribution | Student's t-distribution | Simplex | Noncentral chi distribution | Chernoff's distribution | ProbOnto | Half-normal distribution | Log-Laplace distribution | Kaniadakis Erlang distribution | Histogram | Zero-truncated Poisson distribution | Quantile-parameterized distribution | Kaniadakis Gaussian distribution | Raised cosine distribution | Kaniadakis Weibull distribution | Random variable | Cauchy distribution | Beta-binomial distribution | Generalized Pareto distribution | Benford's law | Relationships among probability distributions | Categorical distribution | Metalog distribution | Wrapped Lévy distribution | Kumaraswamy distribution | Logistic distribution | Logit-normal distribution | Pearson distribution | Fréchet distribution | Rayleigh mixture distribution | Kaniadakis exponential distribution | U-quadratic distribution | Hypergeometric distribution | Bingham distribution | Chi-squared distribution | Negative hypergeometric distribution | Probability density function | Exponential distribution | Gamma/Gompertz distribution | Marshall–Olkin exponential distribution | Laplace distribution | Bates distribution | Rademacher distribution | Rice distribution | Stable distribution | Mixed Poisson distribution | Pareto distribution | Matrix t-distribution | Rectified Gaussian distribution | Von Mises distribution | Hyperbolic secant distribution | Log-normal distribution | Extended negative binomial distribution | Continuous Bernoulli distribution | Behrens–Fisher distribution | Beta prime distribution | Log-Cauchy distribution | Gauss–Kuzmin distribution | Logarithmic distribution | Multinomial distribution | Power law | Chi distribution | Marchenko–Pastur distribution | Kaniadakis Gamma distribution | Normal distribution | Skewed generalized t distribution | Negative binomial distribution | Shifted Gompertz distribution | Arcsine distribution | Expected value | Landau distribution | Lewandowski-Kurowicka-Joe distribution | Inverse-chi-squared distribution | Wishart distribution | Soliton distribution | Reciprocal distribution | Bernoulli distribution | Normal-exponential-gamma distribution | Phase-type distribution | Triangular distribution | PERT distribution | Set theory | Multivariate t-distribution | Dirichlet distribution | Skew normal distribution | Degenerate distribution | Dirichlet negative multinomial distribution | Statistics | Tracy–Widom distribution | Hermite distribution | Noncentral t-distribution | Nakagami distribution | Fisher's z-distribution | Weibull distribution | Lévy distribution | Generalized gamma distribution | Inverse Gaussian distribution | Dagum distribution | Resonance | Discrete uniform distribution | Scaled inverse chi-squared distribution | Maxwell–Boltzmann distribution | Von Mises–Fisher distribution | Variance | Conway–Maxwell–Poisson distribution | Hyperbolic distribution | Log-logistic distribution | Rayleigh distribution | Wigner semicircle distribution | Generalized normal distribution | Beta negative binomial distribution | Holtsmark distribution | Borel distribution | Normal-inverse Gaussian distribution | Truncated distribution | Ewens's sampling formula | Irwin–Hall distribution | Erlang distribution | Linnik distribution | Mittag-Leffler distribution | Generalized multivariate log-gamma distribution | Truncated normal distribution | Yule–Simon distribution | Exponential family | Inverse-Wishart distribution | Support (mathematics) | Negative multinomial distribution | F-distribution | Dirac comb | Balding–Nichols model | Voigt profile | Parabolic fractal distribution | Zipf's law | Noncentral chi-squared distribution | Central limit theorem | Kent distribution | Wrapped Cauchy distribution | Exponential-logarithmic distribution | Lomax distribution | Noncentral F-distribution | Poisson binomial distribution | Skellam distribution | Gompertz distribution | Cantor distribution | Fisher's noncentral hypergeometric distribution | Zipf–Mandelbrot law | Wakeby distribution | Exponentially modified Gaussian distribution | Dirac delta function | Type-2 Gumbel distribution | Likelihood function | Distribution (mathematics) | Wrapped exponential distribution | Wrapped normal distribution | Probability distribution | Wallenius' noncentral hypergeometric distribution | Displaced Poisson distribution | Gumbel distribution | Cross entropy | Geometric distribution | Trapezoidal distribution | Tukey lambda distribution | Binomial distribution | Wrapped asymmetric Laplace distribution | Tweedie distribution