Statistics - (Probability) Density Function (PDF)

Thomas Bayes

About

A probability density function (pdf) defines a distribution for continuous random variables whereas a Probability mass function (PMF) defines distribution for discrete random variables.

The simplest of all density estimators is the histogram.

See also wiki/Dense_set ??

Estimator

An other word for a density function ?

Estimate

wiki/Density_estimation

See Ggplot - Density estimate (geom_density, stat_density)

Documentation / Reference




Recommended Pages
Ggplot Graphic Plot
GGplot - Stat - (Statistical transformation|Statistic)

The Statistical transformation (stat). Multiple layers, statistical transformation. It's often useful to transform your data before plotting, and that's what statistical transformations do. Every...
Ggplot Graphic Plot
Ggplot - Density estimate (geom_density, stat_density)

density in Ggplot See: geom_density geom_density = geom_densitystat_density + geom_ribbon
Histogram Density
R - Density

The density function This function computes kernel density estimates. The algorithm used in density.default disperses the mass of the empirical distribution function over a regular grid of at least 512...
Data System Architecture
Statistic - Smooth (Function Continuity) (Soft ?)

To smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise. In mathematical analysis, smoothness has to do with how many...
Bin Interval
Statistics - (Discretizing|binning) (bin)

Discretization is the process of transforming numeric variables into nominal variables called bin. The created variables are nominal but are ordered (which is a concept that you will not find in true...
Normal Distribution Cdf
Statistics - (Normal|Gaussian) Distribution - Bell Curve

A normal distribution is one of underlying assumptions of a lot of statistical procedures. In nature, every outcome that depends on the sum of many independent events will approximate the Gaussian distribution...
Thomas Bayes
Statistics - Central limit theorem (CLT)

The Central_limit_theoremcentral limit theorem (CLT) is a probability theorem (unofficial sovereign) It establishes that when: random variables (independent) (estimate of a random process) are added...
Thomas Bayes
Statistics - Cumulative Distribution Function (CDF)

The cumulative Distribution Function (CDF) is the cumulative function of the probability density function.
Multi Variant Gaussians
Statistics - Fisher (Multiple Linear Discriminant Analysis|multi-variant Gaussian)

multi-variant Gaussians. Fisher has describe first this analysis with his Iris Data Set. A Fisher's linear discriminant analysis or Gaussian LDA measures which centroid from each class is the closest....
Thomas Bayes
Statistics - Head

Head: the range of values where the pmf or pdf is relatively high.



Share this page:
Follow us:
Task Runner