24 {0.5000, 0.5040, 0.5080, 0.5120, 0.5160, 0.5199, 0.5239, 0.5279, 0.5319, 0.5359},
25 {0.5398, 0.5438, 0.5478, 0.5517, 0.5557, 0.5596, 0.5636, 0.5675, 0.5714, 0.5753},
26 {0.5793, 0.5832, 0.5871, 0.5910, 0.5948, 0.5987, 0.6026, 0.6064, 0.6103, 0.6141},
27 {0.6179, 0.6217, 0.6255, 0.6293, 0.6331, 0.6368, 0.6406, 0.6443, 0.6480, 0.6517},
28 {0.6554, 0.6591, 0.6628, 0.6664, 0.6700, 0.6736, 0.6772, 0.6808, 0.6844, 0.6879},
29 {0.6915, 0.6950, 0.6985, 0.7019, 0.7054, 0.7088, 0.7123, 0.7157, 0.7190, 0.7224},
30 {0.7257, 0.7291, 0.7324, 0.7357, 0.7389, 0.7422, 0.7454, 0.7486, 0.7517, 0.7549},
31 {0.7580, 0.7611, 0.7642, 0.7673, 0.7704, 0.7734, 0.7764, 0.7794, 0.7823, 0.7852},
32 {0.7881, 0.7910, 0.7939, 0.7967, 0.7995, 0.8023, 0.8051, 0.8078, 0.8106, 0.8133},
33 {0.8159, 0.8186, 0.8212, 0.8238, 0.8264, 0.8289, 0.8315, 0.8340, 0.8365, 0.8389},
34 {0.8413, 0.8438, 0.8461, 0.8485, 0.8508, 0.8531, 0.8554, 0.8577, 0.8599, 0.8621},
35 {0.8643, 0.8665, 0.8686, 0.8708, 0.8729, 0.8749, 0.8770, 0.8790, 0.8810, 0.8830},
36 {0.8849, 0.8869, 0.8888, 0.8907, 0.8925, 0.8944, 0.8962, 0.8980, 0.8997, 0.9015},
37 {0.9032, 0.9049, 0.9066, 0.9082, 0.9099, 0.9115, 0.9131, 0.9147, 0.9162, 0.9177},
38 {0.9192, 0.9207, 0.9222, 0.9236, 0.9251, 0.9265, 0.9279, 0.9292, 0.9306, 0.9319},
39 {0.9332, 0.9345, 0.9357, 0.9370, 0.9382, 0.9394, 0.9406, 0.9418, 0.9429, 0.9441},
40 {0.9452, 0.9463, 0.9474, 0.9484, 0.9495, 0.9505, 0.9515, 0.9525, 0.9535, 0.9545},
41 {0.9554, 0.9564, 0.9573, 0.9582, 0.9591, 0.9599, 0.9608, 0.9616, 0.9625, 0.9633},
42 {0.9641, 0.9649, 0.9656, 0.9664, 0.9671, 0.9678, 0.9686, 0.9693, 0.9699, 0.9706},
43 {0.9713, 0.9719, 0.9726, 0.9732, 0.9738, 0.9744, 0.9750, 0.9756, 0.9761, 0.9767},
44 {0.9772, 0.9778, 0.9783, 0.9788, 0.9793, 0.9798, 0.9803, 0.9808, 0.9812, 0.9817},
45 {0.9821, 0.9826, 0.9830, 0.9834, 0.9838, 0.9842, 0.9846, 0.9850, 0.9854, 0.9857},
46 {0.9861, 0.9864, 0.9868, 0.9871, 0.9875, 0.9878, 0.9881, 0.9884, 0.9887, 0.9890},
47 {0.9893, 0.9896, 0.9898, 0.9901, 0.9904, 0.9906, 0.9909, 0.9911, 0.9913, 0.9916},
48 {0.9918, 0.9920, 0.9922, 0.9925, 0.9927, 0.9929, 0.9931, 0.9932, 0.9934, 0.9936},
49 {0.9938, 0.9940, 0.9941, 0.9943, 0.9945, 0.9946, 0.9948, 0.9949, 0.9951, 0.9952},
50 {0.9953, 0.9955, 0.9956, 0.9957, 0.9959, 0.9960, 0.9961, 0.9962, 0.9963, 0.9964},
51 {0.9965, 0.9966, 0.9967, 0.9968, 0.9969, 0.9970, 0.9971, 0.9972, 0.9973, 0.9974},
52 {0.9974, 0.9975, 0.9976, 0.9977, 0.9977, 0.9978, 0.9979, 0.9979, 0.9980, 0.9981},
53 {0.9981, 0.9982, 0.9982, 0.9983, 0.9984, 0.9984, 0.9985, 0.9985, 0.9986, 0.9986},
54 {0.9987, 0.9987, 0.9987, 0.9988, 0.9988, 0.9989, 0.9989, 0.9989, 0.9990, 0.9990} };
59 const double a[4] = { 2.50662823884,
64 const double b[4] = {-8.47351093090,
69 const double c[9] = {0.3374754822726147,
86 r = x * (((
a[3]*y+
a[2])*y+
a[1])*y+
a[0]) /
87 ((((
b[3]*y+
b[2])*y+
b[1])*y+
b[0])*y+1.0);
95 r*(
c[7]+
r*
c[8])))))));
108 for (j = 0; j < 10000; j++) {
109 for (
i = 0;
i < 624;
i++) {
120 double samp_mean = 0.0, samp_stddev = 0.0, QH = 0;
121 double Z, p_value = -1, tot_samp = 1000;
125 fprintf(stderr,
"failed to allocate memory!\n");
130 for (
i = 0;
i < tot_samp;
i += 2) {
133 PRN_arr[
i ] = bmg_out[0] * stddev +
mean;
134 PRN_arr[
i+1] = bmg_out[1] * stddev +
mean;
135 samp_mean += PRN_arr[
i] + PRN_arr[
i+1];
136 samp_stddev += PRN_arr[
i] * PRN_arr[
i] + PRN_arr[
i+1] * PRN_arr[
i+1];
139 i, PRN_arr[
i],
i+1, PRN_arr[
i+1]);
141 samp_mean /= tot_samp;
142 samp_stddev /= (tot_samp - 1);
143 samp_stddev -= (tot_samp * 1.0 / (tot_samp - 1))*samp_mean*samp_mean;
144 samp_stddev = sqrt(samp_stddev);
145 Z = (
mean - samp_mean) / (stddev / sqrt(tot_samp));
157 y = (
b > 0) ?
a %
b :
a;
159 if (x > 30 || y > 9) {
161 "Z_TABLE[%d][%d]\n", x, y);
167 SKIP:
for (
i = 0;
i < tot_samp; ++
i) {
169 if (
i < (tot_samp - 1)) {
171 H_diff =
inv_cdf((
i + 2.0 - (3.0/8.0)) / (tot_samp + (1.0/4.0)));
172 H_diff -=
inv_cdf((
i + 1.0 - (3.0/8.0)) / (tot_samp + (1.0/4.0)));
174 QH += ((PRN_arr[
i + 1] - PRN_arr[
i]) / H_diff);
177 QH = 1.0 - QH / ((tot_samp - 1.0) * samp_stddev);
179 printf(
"sample mean : %f\n"
181 "sample stddev: %f\n"
185 "QH[normality]: %f\n",
186 samp_mean,
mean, samp_stddev, stddev, Z, p_value, QH);