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The accuracy evaluation of the cumulative distribution function (cdf) of the standard normal distribution using approximation formulas. The formulas are presented for the range of x from -1 to 1 and x from -3 to 3, with errors less than 10-5 and 10-7, respectively. The mathematica code is included for verification.
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In[100]:= Join x, HoldForm ^1 2 π
- ∞
x ⅇ -^
t 2 (^2) ⅆ t , Aproximant, Error ,
Table x, SetPrecision ^1 2 π
x ⅇ -^
t 2 (^2) ⅆ t, 16 , SetPrecision
739 x 5 196 560 2 π
+^55 x^
4 8736
+^17 x^
3 468 2 π
+^95 x^
2 936
+ x 2 π
^55 x^
4 4368
+^95 x^
2 468
2 π
- ∞
x ⅇ -^
t 2 (^2) ⅆ t - 739 x^
5 196 560 2 π
+ 55 x^
4 8736
+ 17 x^
3 468 2 π
+ 95 x^
2 936
+ x 2 π
55 x 4 4368
+ 95 x^
2 468
+ 1 // ReleaseHold, { x, 0, 1, 0.05 } // TableForm
Out[100]//TableForm=
x ∫-∞
x (^) ⅇ - t (^2 2) ⅆ t 2 π Aproximant Error
We see that 1 2 π
x ⅇ -^
t 2 (^2) ⅆ t <
739 x 5 196 560 2 π
+ 55 x^
4 8736
+ 17 x^
3 468 2 π
+ 95 x^
2 936
+ x 2 π
55 x^
4 4368
+ 95 x^
2 468
Φ( x ) =^ def^
2 π
x ⅇ -^ t^22 ⅆ t ≈
x^2 -
25 867 x 4398
x^2 -
10 219 x 2668
x^2 +
25 811 x 3468
x^2 +
25 453 x 3241
x^2 +
23 209 x 2875
2 x^2 +
x^2 -
5927 x 1480
x^2 - 5151 x 2741
x^2 + 5151 x 2741
x^2 + 5927 x 1480
for x ≤ 3
with an error less that 10 -^7.