ChiSquared
Extends:
The Chi-Squared Distribution is a continuous probability distribution with parameters df = degrees of freedom. See: Chi-Squared Distribution
Static Method Summary
Static Public Methods | ||
public static |
Calculate the probability of getting x or less from ChiSquared(df). |
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public static |
Get the kurtosis of ChiSquared(df). |
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public static |
Get the mean of ChiSquared(df). |
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public static |
Calculate the probability of exaclty x in ChiSquared(df). |
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public static |
Generate a random value from ChiSquared(df). |
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public static |
Get the relative standard deviation of ChiSquared(df). |
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public static |
Get the skewness of ChiSquared(df). |
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public static |
Get the standard deviation of ChiSquared(df). |
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public static |
Get the variance of ChiSquared(df). |
Inherited Summary
From class Distribution | ||
public static |
Generate a uniform random variable. |
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public static |
Generate an array of k random values. |
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public |
The distribution kurtosis. |
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public |
The distribution mean. |
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public |
The valitated distribution parameters. |
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public |
The distribution relative standard deviation. |
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public |
The distribution skewness. |
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public |
The distribution standard deviation. |
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public |
The distribution variance. |
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public |
Calculate the probability of getting x or less. |
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public |
Calculate the probability of exaclty x. |
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public |
Generate a random value. |
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public |
Generate an array of n random values. |
Static Public Methods
public static cdf(x: number, params: Object): number source
Calculate the probability of getting x or less from ChiSquared(df).
Override:
Distribution#cdfpublic static kurtosis(params: Object): number source
Get the kurtosis of ChiSquared(df).
Override:
Distribution#kurtosisParams:
Name | Type | Attribute | Description |
params | Object | The distribution parameters. |
public static mean(params: Object): number source
Get the mean of ChiSquared(df).
Override:
Distribution#meanParams:
Name | Type | Attribute | Description |
params | Object | The distribution parameters. |
public static pdf(x: number, params: Object): number source
Calculate the probability of exaclty x in ChiSquared(df).
Override:
Distribution#pdfpublic static random(params: Object): number source
Generate a random value from ChiSquared(df).
Override:
Distribution#randomParams:
Name | Type | Attribute | Description |
params | Object | The distribution parameters. |
public static relStdDev(params: Object): number source
Get the relative standard deviation of ChiSquared(df).
Override:
Distribution#relStdDevParams:
Name | Type | Attribute | Description |
params | Object | The distribution parameters. |
public static skewness(params: Object): number source
Get the skewness of ChiSquared(df).
Override:
Distribution#skewnessParams:
Name | Type | Attribute | Description |
params | Object | The distribution parameters. |
public static stdDev(params: Object): number source
Get the standard deviation of ChiSquared(df).
Override:
Distribution#stdDevParams:
Name | Type | Attribute | Description |
params | Object | The distribution parameters. |