커널 분포

커널 함수를 기반으로 하여 평활화된 분포 피팅 및 분포 실행

함수

`fitdist`	데이터에 확률 분포 객체 피팅하기
`distributionFitter`	Open Distribution Fitter app
`ksdensity`	일변량 데이터와 이변량 데이터에 대한 커널 평활화 함수 추정값
`mvksdensity`	Kernel smoothing function estimate for multivariate data

`cdf`	누적 분포 함수
`icdf`	Inverse cumulative distribution function
`iqr`	Interquartile range
`mean`	Mean of probability distribution
`median`	Median of probability distribution
`negloglik`	확률 분포의 음의 로그 가능도
`pdf`	확률 밀도 함수
`random`	난수
`std`	Standard deviation of probability distribution
`truncate`	Truncate probability distribution object
`var`	Variance of probability distribution

KernelDistribution Kernel probability distribution object

A kernel distribution is a nonparametric representation of the probability density function of a random variable.

Estimate a probability density function or a cumulative distribution function from sample data.

This example shows how to fit a kernel probability distribution object to sample data.

This example shows how to generate a kernel probability density estimate from sample data using the ksdensity function.

This example shows how to fit kernel distributions to grouped sample data using the ksdensity function.