Functions related to probability distributions
In probability and statistics, the quantile function, associated with a probability distribution of a random variable, specifies the value of the random variable such that the probability of the variable being less than or equal to that value equals the given probability. Intuitively, the quantile function associates with a range at and below a probability input the likelihood that a random variable is realized in that range for some probability distribution. It is also called the percentile function, percent-point function or inverse cumulative distribution function. (Wikipedia).
Transcendental Functions 19 The Function a to the power x.mp4
The function a to the power x.
From playlist Transcendental Functions
Transcendental Functions 13 Derivatives of a Function and its Inverse.mov
The first derivative of a function and the inverse of that function.
From playlist Transcendental Functions
Transcendental Functions 18 More Examples 1.mov
More example problems.
From playlist Transcendental Functions
Transcendental Functions 1 Introduction.mov
Transcendental Functions in Calculus.
From playlist Transcendental Functions
(New Version Available) Inverse Functions
New Version: https://youtu.be/q6y0ToEhT1E Define an inverse function. Determine if a function as an inverse function. Determine inverse functions. http://mathispower4u.wordpress.com/
From playlist Exponential and Logarithmic Expressions and Equations
Transcendental Functions 18 More Examples 2.mov
More example problems.
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Transcendental Functions 11 Inverse Functions Part 1.mov
Moving on in our study of transcendental functions, we look at the inverse of a function.
From playlist Transcendental Functions
What is a function? How do you use the vertical line test? Learn more about functions and determine if mappings, sets of ordered pairs, tables, or graphs are functions in this short algebra video. Need more math help? Check out our algebra and geometry lessons at katesmathlessons.com
From playlist Algebra 1
Simplified Machine Learning Workflows with Anton Antonov, Session #5: Quantile Regression (Part 5)
Anton Antonov, a senior mathematical programmer, discusses the Quantile Regression Workflow in the Wolfram Language. You can find this content on the Wolfram Function Repository: https://resources.wolframcloud.com/FunctionRepository/resources/QuantileRegression You can directly interact
From playlist Simplified Machine Learning Workflows with Anton Antonov
What is an Injective Function? Definition and Explanation
An explanation to help understand what it means for a function to be injective, also known as one-to-one. The definition of an injection leads us to some important properties of injective functions! Subscribe to see more new math videos! Music: OcularNebula - The Lopez
From playlist Functions
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)
FRM: Quantile function (Inverse CDF)
Here is the spreadsheet I used (and that shows the same recursive solution to all three distributions): http://db.tt/gyrCxFU5 The quantile function, which is the inverted cumulative distribution function, gives us the value (X) that answers the question, with confidence of (P%), what is th
From playlist Operational Risk Analytics
Expected shortfall: approximating continuous, with code (ES continous, FRM T5-03)
In my previous video, I showed you how we retrieve expected shortfall under the simplest possible discrete case. That was a simple historical simulation, but that was discrete. In this video, I'm going to review expected shortfall when the distribution is continuous. Specifically, I will u
From playlist Market Risk (FRM Topic 5)
Jamovi 1.8/2.0 Tutorial: distrACTION Module (Episode 33)
In this Jamovi tutorial, I go through another educational add-on module called distrACTION. It has four continuous and one discrete distribution to show what happens to the cumulative density function and the quartile density function when you modify parameters. This module can be useful f
From playlist Jamovi Tutorials
Andreas H. Hamel: From set-valued quantiles to risk measures: a set optimization approach to...
Abstract : Some questions in mathematics are not answered for quite some time, but just sidestepped. One of those questions is the following: What is the quantile of a multi-dimensional random variable? The "sidestepping" in this case produced so-called depth functions and depth regions, a
From playlist Probability and Statistics
Quantiles and Percentiles, Clearly Explained!!!
Although there is a ton of conflicting information about quantiles and percentiles on the internet, this StatQuest filters out the noise and focuses and the most important things you need to know about these two summary statistics. For a complete index of all the StatQuest videos, check o
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From playlist Plenary talks One World Symposium 2020
Simplified Machine Learning Workflows with Anton Antonov, Session #3: Quantile Regression (Part 3)
Anton Antonov presents the first session on quantile regression workflows in Wolfram Language.
From playlist Simplified Machine Learning Workflows with Anton Antonov
Transcendental Functions 3 Examples using Properties of Logarithms.mov
Examples using the properties of logarithms.
From playlist Transcendental Functions