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[Calculus] Exponential Distribution

2021-11-29 10:43 作者:AoiSTZ23  | 我要投稿

By: Tao Steven Zheng (鄭濤)

【Problem】

Calculate the mean, median, variance, and standard deviation for the probability distribution function (PDF)

p(x)%20%3D%20%5Clambda%20%7Be%7D%5E%7B-%5Clambda%20x%7D%20

defined on the interval x%20%5Cin%20%5B0%2C%5Cinfty).


【Solution】

(1) Mean

The mean is the first moment of the PDF.

%5Cmu%20%3D%20%5Cint_%7B-%5Cinfty%7D%5E%7B%5Cinfty%7D%20x%20%5Ccdot%20p(x)%20dx

%5Cmu%20%3D%20%5Cint_%7B0%7D%5E%7B%5Cinfty%7D%20%5Clambda%20x%7Be%7D%5E%7B-%5Clambda%20x%7D%20dx%20

Using integration by parts yields

%5Cmu%20%3D%20%5Clim_%7Bb%20%5Cto%20%5Cinfty%20%7D%20%5Cleft%5B-%7Be%7D%5E%7B-%5Clambda%20x%7D%20%5Cleft(x%2B%5Cfrac%7B1%7D%7B%5Clambda%7D%5Cright)%20%5CBiggr%7C_0%5Eb%5Cright%5D%20

%5Cmu%20%3D%20%5Cfrac%7B1%7D%7B%5Clambda%7D

(2) Median

To calculate the median, one must obtain the cumulative distribution function (CDF).

%20P(x)%20%3D%20%5Cint_%7B0%7D%5E%7Bx%7D%20%5Clambda%20e%5E%7B-%5Clambda%20t%7Ddt

P(x)%20%3D%20-%7Be%7D%5E%7B-%5Clambda%20t%7D%20%20%5CBig%7C_0%5Ex

P(x)%20%3D%201%20-%20e%5E%7B-%5Clambda%20x%7D%20

The median is located where the probability is 50%, so

P(x)%20%3D%201%20-%20e%5E%7B-%5Clambda%20x%7D%20%3D%200.5

e%5E%7B-%5Clambda%20x%7D%20%3D%200.5%20

x%20%3D%20%5Cfrac%7B%5Cln(0.5)%7D%7B-%5Clambda%7D%20

x%20%3D%20%5Cfrac%7B%5Cln(2)%7D%7B%5Clambda%7D%20

(3) Variance

The variance is calculated by subtracting the square of the mean from the second moment.

Var(X)%20%3D%20%5Cint_%7B-%5Cinfty%7D%5E%7B%5Cinfty%7D%20x%5E2%20%5Ccdot%20p(x)%20dx%20-%20%7B%5Cmu%7D%5E2

Var(X)%20%3D%20%5Cint_%7B0%7D%5E%7B%5Cinfty%7D%20%5Clambda%20x%5E2%20%7Be%7D%5E%7B-%5Clambda%20x%7D%20dx%20-%20%7B%5Cmu%7D%5E2

Using integration by parts yields (twice), and the mean calculated above yields

%20Var(X)%20%3D%20%5Clim_%7Bb%20%5Cto%20%5Cinfty%20%7D%20%5Cleft%5B-%7Be%7D%5E%7B-%5Clambda%20x%7D%20%5Cleft(x%5E2%2B%5Cfrac%7B2x%7D%7B%5Clambda%7D%20%2B%20%5Cfrac%7B2%7D%7B%7B%5Clambda%7D%5E2%7D%5Cright)%20%5CBiggr%7C_0%5Eb%5Cright%5D%20-%20%5Cfrac%7B1%7D%7B%7B%5Clambda%7D%5E2%7D

Var(X)%20%3D%20%5Cfrac%7B1%7D%7B%7B%5Clambda%7D%5E2%7D

(4) Standard deviation

The standard deviation is the square root of the variance

%5Csigma%20%3D%20%5Csqrt%7BVar%7D

%5Csigma%20%3D%20%5Cfrac%7B1%7D%7B%5Clambda%7D%20

[Calculus] Exponential Distribution的評論 (共 條)

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