커널 분포

커널 함수를 기반으로 하여 평활화된 분포 피팅 및 분포 실행

함수

`fitdist`	확률 분포 객체를 데이터에 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
`gather`	Gather properties of Statistics and Machine Learning Toolbox object from GPU
`icdf`	역누적 분포 함수
`iqr`	확률 분포의 사분위 범위
`mean`	확률 분포의 평균
`median`	Median of probability distribution
`negloglik`	확률 분포의 음의 로그 가능도
`pdf`	확률 밀도 함수
`plot`	Plot probability distribution object
`random`	난수
`std`	Standard deviation of probability distribution
`truncate`	Truncate probability distribution object
`var`	Variance of probability distribution

KernelDistribution 커널 확률 분포 객체

Kernel Distribution
A kernel distribution is a nonparametric representation of the probability density function of a random variable.
Nonparametric and Empirical Probability Distributions
Estimate a probability density function or a cumulative distribution function from sample data.
Fit Kernel Distribution Object to Data
This example shows how to fit a kernel probability distribution object to sample data.
Fit Kernel Distribution Using ksdensity
This example shows how to generate a kernel probability density estimate from sample data using the ksdensity function.
Fit Distributions to Grouped Data Using ksdensity
This example shows how to fit kernel distributions to grouped sample data using the ksdensity function.