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Theorem 2. The PDF of T defined in (7) is given by fa() Proof. The proof is left as an exercise.Proof of it please..

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Answer #1

Since, the given PDF is of Student's t- distribution where 'n' is degree of freedom and Gamma is the Gamma Function.

Let Z be a random varaiable that follows N(0,1) i.e. with mean '0' and Variance '1' and chi-square distributed independently of Z.

오ㅈ nceZ ond are imdebendently distri b ote d go their doint Pre babilty funetion ig aiven by J. 2)오 쯧닐 let--the-above-et ation Trams for ma tiom he 2 Usimg invense trams fonmathion よ Nouer一一Applying Taeobran-transforma ti Dm ,

Now, Applying Jacobian transformation and then using differential equation:

So, obtaining the marginal distribution of 't' would be as:

Next, we would obtain the integral function of General Gamma Distribution,which are as follows:

Since the imtegral fumction is o-f Cremeral Gma Distn bution 1 fla) dt .

therefore, doing some calculations we got our result.

Hence, we have proved the above PDF(Probability Density Function).

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