If y follows log normal distribution, then log y follows normal distribution
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I've got this density function of a log-normal random variable.
fX(x;σ)=1xσ2π−−√e−ln(x)22σ2fX(x;σ)=1xσ2πe−ln(x)22σ2
I'm trying to find the density function of Y=lnXY=lnXand show that YY is distributed N(0,σ2)N(0,σ2).
I know the normal distribution is as follows:
fX(x;σ)=12πσ2−−−−√e−(x−μ)22σ2fX(x;σ)=12πσ2e−(x−μ)22σ2
But I'm not sure how to proceed from the first equation to the second
fX(x;σ)=1xσ2π−−√e−ln(x)22σ2fX(x;σ)=1xσ2πe−ln(x)22σ2
I'm trying to find the density function of Y=lnXY=lnXand show that YY is distributed N(0,σ2)N(0,σ2).
I know the normal distribution is as follows:
fX(x;σ)=12πσ2−−−−√e−(x−μ)22σ2fX(x;σ)=12πσ2e−(x−μ)22σ2
But I'm not sure how to proceed from the first equation to the second
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