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312                    Fundamentals of Probability and Statistics for Engineers

               Let T 1 , T 2 ,... , T n  be a sample from T.
                                              ^
                                                     ^
               (a)  Determine the MLE and ME for      ML and   ME ,  respectively) assuming t 0 is
                  known.
                                              ^
                                                      ^
               (b)  Determine the MLE and ME for t 0 (T OML and T OME , respectively) assuming
                  is known.
               (c)  Determine the MLEs and MEs for both    and t 0 assuming both are unknown.
           9.27  If X 1 , X 2 , ..., X n  is a sample from the gamma distribution; that is,
                                      r r 1
                                       x
                            f …x; r; †ˆ   e   x ;  x   0; r;  > 0;
                                      
…r†
               show that:
               (a)  If r is known and    is the parameter to be estimated, both the MLE and ME
                         ^
                  for    are   ˆ r/X.
               (b)  If both  r  and    are to  be estimated, then  the method  of moments and  the

                  method of maximum likelihood lead to different estimators for r and  . (It is
                  not necessary to determine these estimators.)
           9.28 Consider the Buffalo yearly snowfall data, given in Problem 8.2(g) (see Table 8.6)
               and assume that a normal distribution is appropriate.
               (a) Find estimates for the parameters by means of the moment method and the
                  method of maximum likelihood.
               (b) Estimate from the model the probability of having another blizzard of 1977
                  [P(X > 199.4)].
           9.29  Recorded annual flow Y  (in cfs) of a river at a given point are 141, 146, 166, 209, 228,
               234, 260, 278, 319, 351, 383, 500, 522, 589, 696, 833, 888, 1173, 1200, 1258, 1340,
               1390, 1420, 1423, 1443, 1561, 1650, 1810, 2004, 2013, 2016, 2080, 2090, 2143, 2185,
               2316, 2582,  3050,  3186, 3222,  3660,  3799, 3824,  4099,  and  6634.  Assuming that  Y
               follows a lognormal distribution, determine the MLEs of the distribution parameters.
           9.30  Let X 1  and X 2  be a sample of size 2 from a uniform distribution with pdf
                                       8
                                         1
                                       <  ;  for 0   x    ;
                                f …x;  †ˆ
                                         0;  elsewhere.
                                       :
               Determine constant c so that the interval
                                     0 < < c…X 1 ‡ X 2 †
               is a [100(1     )]% confidence interval for .
           9.31 The fuel consumption of a certain type of vehicle is approximately normal, with
               standard deviation 3 miles per gallon. If a sample of 64 vehicles has an average fuel
               consumption of 16 miles per gallon:
               (a) Determine a 95% confidence interval for the mean fuel consumption of all
                  vehicles of this type.
               (b) With 95% confidence, what is the possible error if the mean fuel consumption
                  is taken to be 16 miles per gallon?
               (c) How large a sample is needed if we wish to be 95% confident that the mean will
                  be within 0.5 miles per gallon of the true mean?








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