Page 603 - Probability and Statistical Inference
P. 603

580    13. Sample Size Determination: Two-Stage Procedures

                                                            2
                                 which remains unknown since σ  is assumed unknown. We recall that this is
                                 the frequentist risk discussed earlier in Section 10.4.
                                    It is clear that based on the data X , ..., X  we may estimate R  (µ,   ) by
                                                                1
                                                                      n
                                                                                       n
                                              In Table 13.3.1, we present a summary from a simple simu-
                                 lated exercise. Using MINITAB Release 12.1, we generated n random samples
                                 from a N(0, σ ) population where we let a = 1, n = 5, 10 and σ = 5, 2, 1. Since
                                            2
                                 the distribution of the sample variance     and hence that of     is free from
                                 the parameter µ, we fixed the value µ = 0 in this illustration. With a fixed pair
                                 of values of n and σ, we gathered a random sample of size n, one hundred
                                 times independently, thereby obtaining an observed value of     each time.
                                 Consequently, for a fixed pair of values of n and s, we came up with one

                                 hundred values of the random variable   .  Table 13.3.1 lists some descrip-
                                 tive statistics derived from these one hundred observed values of     .
                                           Table 13.3.1. Simulated Description of the Estimated
                                                     Values     : 100 Replications

                                                                   n = 5
                                               minimum = .232, maximum = 16.324, mean = 4.534
                                                   standard deviation = 3.247, median = 3.701
                                    σ = 5                          n = 10
                                               minimum = .457, maximum = 9.217, mean = 2.597
                                                   standard deviation = 1.443, median = 2.579
                                                                   n = 5
                                              minimum = .0569, maximum = 3.3891, mean = .7772
                                                   standard deviation = .6145, median = .6578
                                    σ = 2                          n = 10
                                              minimum = .1179, maximum = 1.0275, mean = .3927
                                                   standard deviation = .1732, median = .3608
                                                                   n = 5
                                               minimum = .0135, maximum = .7787, mean = .1904
                                                   standard deviation = .1281, median = .1684
                                    σ = 1                          n = 10
                                             minimum = .02843, maximum = .24950, mean = .10113
                                                  standard deviation = .05247, median = .09293
                                    From Table 13.3.1, it is obvious that for a fixed value of σ, the estimated
                                 risk     goes down when n increases and for a fixed value of n, the same goes
                                 down when σ decreases. But, it may feel awkward when we realize that for
                                 any fixed pair n and σ, an experimenter may get stuck with an estimated risk
                                 which is relatively “large”.
   598   599   600   601   602   603   604   605   606   607   608