Cross Validation/calculate StdError, Stdd_Error, NormValue

MarcGoetzke — Thu, 30 Apr 2015 14:18:24 GMT

I think there is a really simple answer. I got a Table after using the Cross Validation Tool in ArcGIS. I dont know how you get the StdError, Stdd_Error and the NormValue. The StdError is the Standart Error of Prediction so i think its just SE = standard deviation / √n. I googled a lot and i have no idea. Can anybody help. Thx

FID

Measured

Predicted

Error

StdError

Stdd_Error

NormValue

0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

470,073195
912,403881
453,583461
483,765499
541,13589
766,325671
288,17376
904,216706
659,680241
676,788004
666,22003
480,821565
287,342394
123,791379
938,267365
938,267365
646,036572
443,277522
1087,176937
827,379415
778,769581

779,4643553
482,4430333
631,5594783
439,5693293
574,8925245
885,4098264
508,1779974
719,7978101
689,80433
679,3637665
637,4872852
413,8124286
577,9679624
658,5721968
936,7664019
919,780191
354,8780993
675,5704577
731,8108183
949,9845209
852,6773521

309,3911603
-429,9608477
177,9760173
-44,19616975
33,75663448
119,0841554
220,0042374
-184,4188959
30,12408898
2,575762471
-28,73274476
-67,00913635
290,6255684
534,7808178
-1,500963141
-18,48717397
-291,1584727
232,2929357
-355,3661187
122,6051059
73,90777111

197,9004352
187,2076829
222,1929554
222,8177887
225,6868838
217,4111495
204,8373173
157,9156231
170,0014572
192,6182741
189,5340294
211,093082
268,3646909
184,6837889
65,63124213
66,37976517
206,0541435
225,8855784
198,56918
194,0884513
205,7042675

1,563367761
-2,296705141
0,80099757
-0,198351173
0,149572868
0,547737113
1,074043735
-1,16783186
0,177199005
0,013372368
-0,15159676
-0,317438808
1,082950098
2,895656522
-0,022869644
-0,278506167
-1,413019257
1,0283655
-1,789633813
0,63169707
0,359291385

1,465233798
-1,98075241
0,637484163
-0,497200583
0
0,366106371
0,967421551
-0,967421551
0,119648099
-0,119648099
-0,366106371
-0,791638598
1,179761108
1,98075241
-0,241040395
-0,637484163
-1,179761108
0,791638598
-1,465233798
0,497200583
0,241040395

Re: Cross Validation/calculate StdError, Stdd_Error, NormValue

EricKrause — Thu, 30 Apr 2015 16:08:52 GMT

StdError is the standard error of prediction. This is equal to the square root of the kriging variance, which is one of the outputs of the kriging equations.

Stdd_Error is the standardized error. This is equal to Error divided by StdError. Ideally, these values should follow a standard normal distribution.

NormValue is the equivalent quantile on the standard normal distribution for each standardized error. If you make a scatterplot of NormValue versus Stdd_Error, this is called Normal QQPlot, and it is useful for testing whether the standardized errors actually do follow a standard normal distribution. Ideally, the points should create a straight line at a 45 degree angle in the scatterplot.

Re: Cross Validation/calculate StdError, Stdd_Error, NormValue

MarcGoetzke — Mon, 04 May 2015 10:54:48 GMT

Thx Eric Krause. Helped me a lot;)

topic Re: Cross Validation/calculate StdError, Stdd_Error, NormValue in ArcGIS GeoStatistical Analyst Questions

Cross Validation/calculate StdError, Stdd_Error, NormValue

Re: Cross Validation/calculate StdError, Stdd_Error, NormValue

Re: Cross Validation/calculate StdError, Stdd_Error, NormValue