Page 316 - Fundamentals of Probability and Statistics for Engineers
P. 316

Parameter Estimation                                            299

           If U is N(0, 1), V is   2 -distributed with n degrees of freedom, and U and V  are
           independent, then the pdf of T has the form


                                             …n‡1†=2
                         
‰…n ‡ 1†=2Š    t 2

                 f T …t†ˆ            1 ‡          ;   1 < t < 1:        …9:134†
                        
…n=2†…n † 1=2   n

           This distribution is known as Student’s  t-distribution  with n degrees of freedom;
           it is named after W.S. Gosset, who used the pseudonym ‘Student’ in his
           research publications.

             Proof of Theorem 9.7: the proof is straightforward following methods given
           in Chapter 5. Sine U and V  are independent, their jpdf is

                                !
                    8
                        1             1
                              2
                    >         u =2         …n=2† 1  v=2
                    <       e             v     e   ;  for  1 < u < 1; and v > 0;
           f UV …u; v†ˆ  …2 † 1=2  2 n=2 
…n=2†
                    >
                    :
                     0;  elsewhere:
                                                                        …9:135†
           Consider the transformation from U and V  to T and V. The method discussed
           in Section 5.3 leads to
                                                   1
                                            1
                             f TV …t; v†ˆ f UV ‰g …t; v†; g …t; v†ŠjJj;  …9:136†
                                           1      2
           where
                                         v 1=2    1

                               1
                             g …t; v†ˆ t     ;  g …t; v†ˆ v;            …9:137†
                              1                  2
                                         n
           and the Jacobian is
                         1    1
                      qg   qg
                        1


                             1
                                      v 1=2     v 1=2   1
                        qt  qv             t 2n              v 1=2
                 J ˆ               ˆ     n      n          ˆ     :      …9:138†
                      qg   qg
                         1    1                             n
                        2    2        0          1

                       qt   qv
           The substitution of Equations (9.135), (9.137), and (9.138) into Equation
           (9.136) gives the jpdf f TV (t, v) of T and V. The pdf of T as given by Equation
           (9.134) is obtained by integrating f TV (t, v) with respect to v.
             It is seen from Equation (9.134) that the t-distribution is symmetrical about
           the origin. As n increases, it approaches that of a standardized normal random
           variable.





                                                                            TLFeBOOK
   311   312   313   314   315   316   317   318   319   320   321