measurementCount: 10
errorTrue: 1000 ppm
errorEstimate: 1000 ppm
iterationCount: 10
targets: 101 815 153 795 855 328 214 922 766 284 
measurements: 100.912 815.723 153.091 794.121 855.642 328.822 214.023 922.789 765.499 284.07 

Iteration #0
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 1000013.667
  distribution: (816, 0.4615274946) (815, 0.3302654692) (817, 0.1439395933) (814, 0.05216370061) (818, 0.01012942196) (813, 0.001798328739) (819, 0.000162610739) (812, 1.338089797e-05) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 999831.5172
  distribution: (794, 0.4966423288) (795, 0.272320811) (793, 0.1852270881) (796, 0.03090325481) (792, 0.01395839095) (797, 0.0007344518059) (791, 0.0002099756066) (798, 3.698867476e-06) 
  measurement: 855.642 error: 999988.9308
  distribution: (856, 0.4270269132) (855, 0.3519761613) (857, 0.1326429282) (854, 0.07356890053) (858, 0.0106496312) (853, 0.00386193653) (859, 0.0002231066655) (852, 5.04223571e-05) 
  measurement: 328.822 error: 601988.2486
  distribution: (329, 0.950373829) (328, 0.04775079184) (330, 0.001875379181) 
  measurement: 214.023 error: 12457.28259
  distribution: (214, 0.9999572573) (215, 3.284396461e-05) (213, 9.898687604e-06) 
  measurement: 922.789 error: 999985.7791
  distribution: (923, 0.4210757964) (922, 0.3000273848) (924, 0.1829138764) (921, 0.06566382015) (925, 0.02478111561) (920, 0.004380381927) (926, 0.001055023998) (919, 8.837969674e-05) (927, 1.422097413e-05) 
  measurement: 765.499 error: 1000438.024
  distribution: (765, 0.4215652396) (766, 0.4205313439) (767, 0.07664827501) (764, 0.07618906553) (768, 0.00258666692) (763, 0.002449216602) (769, 1.637689157e-05) (762, 1.381553063e-05) 
  measurement: 284.07 error: 124956.9931
  distribution: (284, 0.9942144502) (285, 0.004976437037) (283, 0.0008091127294) 
ErrorEstimator.error(): 827.8015785

Iteration #1
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 685896.0536
  distribution: (816, 0.5430022172) (815, 0.3330190431) (817, 0.09922243764) (814, 0.02252137912) (818, 0.002064713656) (813, 0.0001652381019) (819, 4.97125812e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 681790.0961
  distribution: (794, 0.5965867122) (795, 0.2483698808) (793, 0.1413652119) (796, 0.01037982723) (792, 0.00324695971) (797, 4.430591725e-05) (791, 7.102148816e-06) 
  measurement: 855.642 error: 686146.4761
  distribution: (856, 0.4955788226) (855, 0.3735787739) (857, 0.09002232488) (854, 0.03802613999) (858, 0.002270536774) (853, 0.0005153399006) (859, 8.061938108e-06) 
  measurement: 328.822 error: 369202.7185
  distribution: (329, 0.9873469681) (328, 0.01254136454) (330, 0.0001116673438) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 685198.1186
  distribution: (923, 0.5025975629) (922, 0.3063336059) (924, 0.1489362502) (921, 0.03334838866) (925, 0.008060309022) (920, 0.0006411815418) (926, 8.054896356e-05) (919, 2.152787879e-06) 
  measurement: 765.499 error: 693098.1556
  distribution: (765, 0.462176352) (766, 0.4607995664) (767, 0.0384512467) (764, 0.03804698619) (768, 0.0002737876135) (763, 0.0002520610889) 
  measurement: 284.07 error: 65848.79079
  distribution: (284, 0.9995292451) (285, 0.0004398095143) (283, 3.094542979e-05) 
ErrorEstimator.error(): 706.5143825

Iteration #2
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 502652.7288
  distribution: (816, 0.6168967171) (815, 0.315153154) (817, 0.05984304351) (814, 0.007803830659) (818, 0.0002940953438) (813, 9.159386856e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 480910.7756
  distribution: (794, 0.6927509372) (795, 0.2081249594) (793, 0.09592068843) (796, 0.002664082541) (792, 0.0005393324666) 
  measurement: 855.642 error: 506017.832
  distribution: (856, 0.5541697133) (855, 0.3758095285) (857, 0.05332188739) (854, 0.01631318841) (858, 0.0003412238324) (853, 4.445858018e-05) 
  measurement: 328.822 error: 307599.6309
  distribution: (329, 0.9975145406) (328, 0.002485459442) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 498357.798
  distribution: (923, 0.5805152391) (922, 0.2940685625) (924, 0.1093561501) (921, 0.01399884682) (925, 0.001995952048) (920, 6.166593186e-05) (926, 3.583473689e-06) 
  measurement: 765.499 error: 535212.7735
  distribution: (765, 0.4849996494) (766, 0.4832526447) (767, 0.01598343732) (764, 0.01573019958) (768, 1.802087771e-05) (763, 1.604809715e-05) 
  measurement: 284.07 error: 61013.33389
  distribution: (284, 0.999975301) (285, 2.469895962e-05) 
ErrorEstimator.error(): 633.7357644

Iteration #3
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 409384.5211
  distribution: (816, 0.6696316153) (815, 0.2905179476) (817, 0.03687152646) (814, 0.002929065405) (818, 4.984525777e-05) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 362441.4307
  distribution: (794, 0.7626722007) (795, 0.1711505624) (793, 0.06531253392) (796, 0.000760390149) (792, 0.0001043127719) 
  measurement: 855.642 error: 419620.3988
  distribution: (856, 0.5938088743) (855, 0.3663383242) (857, 0.03236666405) (854, 0.007420571475) (858, 6.074790389e-05) (853, 4.81804759e-06) 
  measurement: 328.822 error: 296191.4827
  distribution: (329, 0.9994197701) (328, 0.0005802299329) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 398765.6117
  distribution: (923, 0.6387409499) (922, 0.27422699) (924, 0.08024080115) (921, 0.006229872883) (925, 0.0005540391604) (920, 7.346920668e-06) 
  measurement: 765.499 error: 474669.7332
  distribution: (765, 0.4939888008) (766, 0.4919342772) (767, 0.007111662592) (764, 0.006965259432) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 595.5056953

Iteration #4
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 365667.7022
  distribution: (816, 0.7002855061) (815, 0.2719460158) (817, 0.02626292765) (814, 0.001490754364) (818, 1.479609413e-05) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 300372.5906
  distribution: (794, 0.80231744) (795, 0.1477274271) (793, 0.04960115822) (796, 0.000320233803) (792, 3.374086918e-05) 
  measurement: 855.642 error: 382262.1221
  distribution: (856, 0.6162626371) (855, 0.3565635711) (857, 0.02284772921) (854, 0.004307397599) (858, 1.866500202e-05) 
  measurement: 328.822 error: 294011.3956
  distribution: (329, 0.9997838578) (328, 0.0002161422447) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 349601.7571
  distribution: (923, 0.6734803809) (922, 0.2584556058) (924, 0.06427907304) (921, 0.003555363565) (925, 0.0002295767097) 
  measurement: 765.499 error: 454151.6553
  distribution: (765, 0.4970949585) (766, 0.4948398466) (767, 0.00408114158) (764, 0.003984053259) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 577.1710644

Iteration #5
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 345966.6504
  distribution: (816, 0.7157715202) (815, 0.2614774871) (817, 0.02171923172) (814, 0.001024210485) (818, 7.550462945e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 270960.5198
  distribution: (794, 0.8216896751) (795, 0.1356523026) (793, 0.04244205401) (796, 0.0001979380806) (792, 1.803016855e-05) 
  measurement: 855.642 error: 366432.5406
  distribution: (856, 0.62753559) (855, 0.3504610223) (857, 0.01881022077) (854, 0.003183454762) (858, 9.712215189e-06) 
  measurement: 328.822 error: 293467.7713
  distribution: (329, 0.9998746463) (328, 0.0001253536987) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 326720.4307
  distribution: (923, 0.6912187734) (922, 0.2493450073) (924, 0.05669455742) (921, 0.002600899355) (925, 0.0001407624641) 
  measurement: 765.499 error: 446846.2741
  distribution: (765, 0.4982195934) (766, 0.4958556594) (767, 0.003000710457) (764, 0.002924036785) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 568.8225857

Iteration #6
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 337259.9892
  distribution: (816, 0.722997635) (815, 0.2563594496) (817, 0.01978513669) (814, 0.0008523435617) (818, 5.435114627e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 257713.547
  distribution: (794, 0.8305275488) (795, 0.1300044831) (793, 0.03929830365) (796, 0.0001563947383) (792, 1.326968185e-05) 
  measurement: 855.642 error: 359666.2508
  distribution: (856, 0.6327959524) (855, 0.3473514692) (857, 0.01709989638) (854, 0.002745623188) (858, 7.058907429e-06) 
  measurement: 328.822 error: 293292.6256
  distribution: (329, 0.9999038967) (328, 9.610331998e-05) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 316440.1115
  distribution: (923, 0.6995289182) (922, 0.2448405431) (924, 0.05328823684) (921, 0.002231496235) (925, 0.0001108056761) 
  measurement: 765.499 error: 444018.5462
  distribution: (765, 0.4986602051) (766, 0.4962435588) (767, 0.002582216461) (764, 0.002514019643) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 565.1184144

Iteration #7
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 333448.7467
  distribution: (816, 0.7262393222) (815, 0.2540170573) (817, 0.01895546777) (814, 0.0007834777542) (818, 4.674917975e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 251873.3949
  distribution: (794, 0.8344454691) (795, 0.1274725309) (793, 0.03793009674) (796, 0.0001403738698) (792, 1.152935392e-05) 
  measurement: 855.642 error: 356751.3244
  distribution: (856, 0.6351576587) (855, 0.3459028978) (857, 0.01636784831) (854, 0.002565496533) (858, 6.09861783e-06) 
  measurement: 328.822 error: 293226.6934
  distribution: (329, 0.9999149078) (328, 8.509224778e-05) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 311906.3766
  distribution: (923, 0.7032624979) (922, 0.242768586) (924, 0.05178962041) (921, 0.002080006012) (925, 9.928967987e-05) 
  measurement: 765.499 error: 442858.4646
  distribution: (765, 0.4988421897) (766, 0.4964014722) (767, 0.002410473031) (764, 0.002345865081) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 563.4946454

Iteration #8
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 331787.9836
  distribution: (816, 0.7276672718) (815, 0.2529762946) (817, 0.01859740543) (814, 0.0007546563188) (818, 4.371913092e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 249321.3446
  distribution: (794, 0.836161642) (795, 0.1263579571) (793, 0.03733578702) (796, 0.0001337834898) (792, 1.083038066e-05) 
  measurement: 855.642 error: 355490.2793
  distribution: (856, 0.636198523) (855, 0.3452543249) (857, 0.01605222857) (854, 0.002489208957) (858, 5.71464095e-06) 
  measurement: 328.822 error: 293199.8601
  distribution: (329, 0.9999193891) (328, 8.0610911e-05) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 309924.3046
  distribution: (923, 0.7049081048) (922, 0.2418459452) (924, 0.05113545033) (921, 0.002015940615) (925, 9.455903279e-05) 
  measurement: 765.499 error: 442367.7461
  distribution: (765, 0.4989194231) (766, 0.4964680168) (767, 0.002337814418) (764, 0.002274745758) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 562.7866977

Iteration #9
  measurement: 100.912 error: 759141.2607
  distribution: (101, 1) 
  measurement: 815.723 error: 331065.7944
  distribution: (816, 0.7282911664) (815, 0.2525198649) (817, 0.01844237771) (814, 0.000742345713) (818, 4.245239009e-06) 
  measurement: 153.091 error: 353752.8301
  distribution: (153, 1) 
  measurement: 794.121 error: 248210.2812
  distribution: (794, 0.8369095741) (795, 0.1258711585) (793, 0.03707774035) (796, 0.0001309898422) (792, 1.053719134e-05) 
  measurement: 855.642 error: 354943.6566
  distribution: (856, 0.6366534132) (855, 0.3449689442) (857, 0.01591563614) (854, 0.002456452551) (858, 5.553891056e-06) 
  measurement: 328.822 error: 293188.5386
  distribution: (329, 0.9999212798) (328, 7.872016076e-05) 
  measurement: 214.023 error: 11551.22718
  distribution: (214, 1) 
  measurement: 922.789 error: 309061.1612
  distribution: (923, 0.7056272756) (922, 0.2414409276) (924, 0.05085079171) (921, 0.001988450123) (925, 9.255494057e-05) 
  measurement: 765.499 error: 442157.1532
  distribution: (765, 0.4989526177) (766, 0.4964965247) (767, 0.002306630826) (764, 0.002244226767) 
  measurement: 284.07 error: 60751.83495
  distribution: (284, 1) 
ErrorEstimator.error(): 562.4787763

