matlab画各种概率分布图像

Matlab画各种概率分布函数曲线

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PDF Density function for a specified distribution.

Y = PDF(NAME,X,A) returns an array of values of the probability density function for the one-parameter probability distribution specified by NAME with parameter values A, evaluated at the values in X.

Y = PDF(NAME,X,A,B) or Y = PDF(NAME,X,A,B,C) returns values of the probability density function for a two- or three-parameter probability distribution with parameter values A, B (and C).

The size of Y is the common size of the input arguments. A scalar input functions as a constant matrix of the same size as the other inputs. Each element of Y contains the probability density evaluated at the corresponding elements of the inputs.

Acceptable strings for name are:

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 'beta' (Beta distribution) 'bino' (Binomial distribution)二项分布 'chi2' (Chi-square distribution)卡方分布 'exp' (Exponential distribution)指数分布 'ev' (Extreme value distribution) 极值分布 'f' (F distribution) 费雪分布 'gam' (Gamma distribution) 伽马分布 'gev' (Generalized extreme value distribution) 'gp' (Generalized Pareto distribution) 极值分布函数 'geo' (Geometric distribution)几何分布 'hyge' (Hypergeometric distribution) 超几何分布 'logn' (Lognormal distribution) 对数正态分布 'nbin' (Negative binomial distribution) 负二项分布 'ncf' (Noncentral F distribution) 非中心F分布 'nct' (Noncentral t distribution)非中心t分布 'ncx2' (Noncentral chi-square distribution) 非中心卡方分布 'norm' (Normal distribution) 正态分布 'poiss' (Poisson distribution) 泊松分布 'rayl' (Rayleigh distribution) 瑞利分布 't' (t distribution) t分布 'unif' (Uniform distribution) 均匀分布 'unid' (Discrete uniform distribution) 离散均匀分布 'wbl' (Weibull distribution)韦伯分布

Matlab画各种概率分布函数曲线

help PDF

PDF Density function for a specified distribution.

Y = PDF(NAME,X,A) returns an array of values of the probability density function for the one-parameter probability distribution specified by NAME with parameter values A, evaluated at the values in X.

Y = PDF(NAME,X,A,B) or Y = PDF(NAME,X,A,B,C) returns values of the probability density function for a two- or three-parameter probability distribution with parameter values A, B (and C).

The size of Y is the common size of the input arguments. A scalar input functions as a constant matrix of the same size as the other inputs. Each element of Y contains the probability density evaluated at the corresponding elements of the inputs.

Acceptable strings for name are:

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 'beta' (Beta distribution) 'bino' (Binomial distribution)二项分布 'chi2' (Chi-square distribution)卡方分布 'exp' (Exponential distribution)指数分布 'ev' (Extreme value distribution) 极值分布 'f' (F distribution) 费雪分布 'gam' (Gamma distribution) 伽马分布 'gev' (Generalized extreme value distribution) 'gp' (Generalized Pareto distribution) 极值分布函数 'geo' (Geometric distribution)几何分布 'hyge' (Hypergeometric distribution) 超几何分布 'logn' (Lognormal distribution) 对数正态分布 'nbin' (Negative binomial distribution) 负二项分布 'ncf' (Noncentral F distribution) 非中心F分布 'nct' (Noncentral t distribution)非中心t分布 'ncx2' (Noncentral chi-square distribution) 非中心卡方分布 'norm' (Normal distribution) 正态分布 'poiss' (Poisson distribution) 泊松分布 'rayl' (Rayleigh distribution) 瑞利分布 't' (t distribution) t分布 'unif' (Uniform distribution) 均匀分布 'unid' (Discrete uniform distribution) 离散均匀分布 'wbl' (Weibull distribution)韦伯分布