Jun 27, 2012 · A probability density function (pdf) is a non-negative function that integrates to $1$. The likelihood is defined as the joint density of the observed data as a function of the parameter.

Oct 6, 2018 · I have read a lot about density functions, but what I am missing is how to create a density function if you have continuous values in data. For example, I have data with negative …

Feb 11, 2022 · But only and precisely the red line is a probability function, or more specifically, a probability density function. Don't stress too much about what exactly is the definition for …

May 5, 2017 · It's unclear what level of explanation you seek. An answer could be 10 times longer than this depending on what you don't know. E.g. do you know a cdf is? do you know what …

Jun 23, 2017 · 14 I understand the distinction between probability mass and density functions. But I don't understand what it means for a continuous random variable to have a probability …

Oct 9, 2020 · 21 There are two common ways to represent a probability distribution, the probability density function (PDF) and cumulative distribution function (CDF). I suspect you're …

Jan 11, 2015 · I'm trying to make the jump from the idea of a percentile, say, over the real number line (where the nth percentile is simply the position in which n% of data points are below it, and …

Could you please explain to me why the probability density function of a sine wave looks like it does, i.e. like a basket with the greatest probability density located at -1 and 1 points, …

A mode of a continuous probability distribution is a value at which the probability density function (pdf) attains its maximum value So given a specific definition of the mode you find it as you …

Dec 20, 2022 · 5 What is the correct definition of bounded probability density function: $\sup_ {x} f (x)<\infty$. If this is the correct definition of bounded probability density function, can you give …