Fixed database typo and removed unnecessary class identifier.
This commit is contained in:
parent
00ad49a143
commit
45fb349a7d
5098 changed files with 952558 additions and 85 deletions
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@ -0,0 +1,108 @@
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NIST/ITL StRD
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Dataset Name: AtmWtAg (AtmWtAg.dat)
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File Format: ASCII
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Certified Values (lines 41 to 47)
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Data (lines 61 to 108)
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Procedure: Analysis of Variance
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Reference: Powell, L.J., Murphy, T.J. and Gramlich, J.W. (1982).
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"The Absolute Isotopic Abundance & Atomic Weight
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of a Reference Sample of Silver".
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NBS Journal of Research, 87, pp. 9-19.
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Data: 1 Factor
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2 Treatments
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24 Replicates/Cell
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48 Observations
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7 Constant Leading Digits
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Average Level of Difficulty
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Observed Data
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Model: 3 Parameters (mu, tau_1, tau_2)
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y_{ij} = mu + tau_i + epsilon_{ij}
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Certified Values:
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Source of Sums of Mean
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Variation df Squares Squares F Statistic
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Between Instrument 1 3.63834187500000E-09 3.63834187500000E-09 1.59467335677930E+01
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Within Instrument 46 1.04951729166667E-08 2.28155932971014E-10
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Certified R-Squared 2.57426544538321E-01
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Certified Residual
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Standard Deviation 1.51048314446410E-05
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Data: Instrument AgWt
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1 107.8681568
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1 107.8681465
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1 107.8681572
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1 107.8681785
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1 107.8681446
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1 107.8681903
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1 107.8681526
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1 107.8681494
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1 107.8681616
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1 107.8681587
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1 107.8681519
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1 107.8681486
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1 107.8681419
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1 107.8681569
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1 107.8681508
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1 107.8681672
|
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1 107.8681385
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1 107.8681518
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1 107.8681662
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1 107.8681424
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1 107.8681360
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1 107.8681333
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1 107.8681610
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1 107.8681477
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2 107.8681079
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2 107.8681344
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2 107.8681513
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2 107.8681197
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2 107.8681604
|
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2 107.8681385
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||||
2 107.8681642
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2 107.8681365
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2 107.8681151
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2 107.8681082
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2 107.8681517
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2 107.8681448
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2 107.8681198
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2 107.8681482
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2 107.8681334
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2 107.8681609
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2 107.8681101
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2 107.8681512
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2 107.8681469
|
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2 107.8681360
|
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2 107.8681254
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2 107.8681261
|
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2 107.8681450
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2 107.8681368
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@ -0,0 +1,85 @@
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NIST/ITL StRD
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Dataset Name: SiRstv (SiRstv.dat)
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File Format: ASCII
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Certified Values (lines 41 to 47)
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Data (lines 61 to 85)
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Procedure: Analysis of Variance
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Reference: Ehrstein, James and Croarkin, M. Carroll.
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Unpublished NIST dataset.
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Data: 1 Factor
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5 Treatments
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5 Replicates/Cell
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25 Observations
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3 Constant Leading Digits
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Lower Level of Difficulty
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Observed Data
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Model: 6 Parameters (mu,tau_1, ... , tau_5)
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y_{ij} = mu + tau_i + epsilon_{ij}
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Certified Values:
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Source of Sums of Mean
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Variation df Squares Squares F Statistic
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Between Instrument 4 5.11462616000000E-02 1.27865654000000E-02 1.18046237440255E+00
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Within Instrument 20 2.16636560000000E-01 1.08318280000000E-02
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Certified R-Squared 1.90999039051129E-01
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Certified Residual
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Standard Deviation 1.04076068334656E-01
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Data: Instrument Resistance
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1 196.3052
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1 196.1240
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1 196.1890
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1 196.2569
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1 196.3403
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2 196.3042
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2 196.3825
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2 196.1669
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2 196.3257
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2 196.0422
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3 196.1303
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3 196.2005
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3 196.2889
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3 196.0343
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3 196.1811
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4 196.2795
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4 196.1748
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4 196.1494
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4 196.1485
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4 195.9885
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5 196.2119
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5 196.1051
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5 196.1850
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5 196.0052
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5 196.2090
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@ -0,0 +1,249 @@
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NIST/ITL StRD
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Dataset Name: SmLs01 (SmLs01.dat)
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File Format: ASCII
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Certified Values (lines 41 to 47)
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Data (lines 61 to 249)
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Procedure: Analysis of Variance
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Reference: Simon, Stephen D. and Lesage, James P. (1989).
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"Assessing the Accuracy of ANOVA Calculations in
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Statistical Software".
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Computational Statistics & Data Analysis, 8, pp. 325-332.
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Data: 1 Factor
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9 Treatments
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21 Replicates/Cell
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189 Observations
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1 Constant Leading Digit
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Lower Level of Difficulty
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Generated Data
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Model: 10 Parameters (mu,tau_1, ... , tau_9)
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y_{ij} = mu + tau_i + epsilon_{ij}
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Certified Values:
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Source of Sums of Mean
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Variation df Squares Squares F Statistic
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Between Treatment 8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01
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Within Treatment 180 1.80000000000000E+00 1.00000000000000E-02
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Certified R-Squared 4.82758620689655E-01
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Certified Residual
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Standard Deviation 1.00000000000000E-01
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Data: Treatment Response
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1 1.4
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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1 1.5
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1 1.3
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||||
1 1.5
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2 1.3
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||||
2 1.2
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2 1.4
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||||
2 1.2
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2 1.4
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2 1.2
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2 1.4
|
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2 1.2
|
||||
2 1.4
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2 1.2
|
||||
2 1.4
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||||
2 1.2
|
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2 1.4
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2 1.2
|
||||
2 1.4
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||||
2 1.2
|
||||
2 1.4
|
||||
2 1.2
|
||||
2 1.4
|
||||
2 1.2
|
||||
2 1.4
|
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3 1.5
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3 1.4
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3 1.6
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3 1.4
|
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3 1.6
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||||
3 1.4
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3 1.6
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||||
3 1.4
|
||||
3 1.6
|
||||
3 1.4
|
||||
3 1.6
|
||||
3 1.4
|
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3 1.6
|
||||
3 1.4
|
||||
3 1.6
|
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3 1.4
|
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3 1.6
|
||||
3 1.4
|
||||
3 1.6
|
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3 1.4
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3 1.6
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4 1.3
|
||||
4 1.2
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||||
4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
4 1.2
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4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
4 1.2
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||||
4 1.4
|
||||
4 1.2
|
||||
4 1.4
|
||||
5 1.5
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
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||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
5 1.4
|
||||
5 1.6
|
||||
6 1.3
|
||||
6 1.2
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||||
6 1.4
|
||||
6 1.2
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||||
6 1.4
|
||||
6 1.2
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||||
6 1.4
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||||
6 1.2
|
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6 1.4
|
||||
6 1.2
|
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6 1.4
|
||||
6 1.2
|
||||
6 1.4
|
||||
6 1.2
|
||||
6 1.4
|
||||
6 1.2
|
||||
6 1.4
|
||||
6 1.2
|
||||
6 1.4
|
||||
6 1.2
|
||||
6 1.4
|
||||
7 1.5
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
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7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
7 1.4
|
||||
7 1.6
|
||||
8 1.3
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
8 1.2
|
||||
8 1.4
|
||||
9 1.5
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
|
||||
9 1.4
|
||||
9 1.6
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||||
1869
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs02.dat
Normal file
1869
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs02.dat
Normal file
File diff suppressed because it is too large
Load diff
18069
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs03.dat
Normal file
18069
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs03.dat
Normal file
File diff suppressed because it is too large
Load diff
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@ -0,0 +1,249 @@
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NIST/ITL StRD
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Dataset Name: SmLs04 (SmLs04.dat)
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|
||||
|
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File Format: ASCII
|
||||
Certified Values (lines 41 to 47)
|
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Data (lines 61 to 249)
|
||||
|
||||
|
||||
Procedure: Analysis of Variance
|
||||
|
||||
|
||||
Reference: Simon, Stephen D. and Lesage, James P. (1989).
|
||||
"Assessing the Accuracy of ANOVA Calculations in
|
||||
Statistical Software".
|
||||
Computational Statistics & Data Analysis, 8, pp. 325-332.
|
||||
|
||||
|
||||
Data: 1 Factor
|
||||
9 Treatments
|
||||
21 Replicates/Cell
|
||||
189 Observations
|
||||
7 Constant Leading Digits
|
||||
Average Level of Difficulty
|
||||
Generated Data
|
||||
|
||||
|
||||
Model: 10 Parameters (mu,tau_1, ... , tau_9)
|
||||
y_{ij} = mu + tau_i + epsilon_{ij}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Certified Values:
|
||||
|
||||
Source of Sums of Mean
|
||||
Variation df Squares Squares F Statistic
|
||||
|
||||
Between Treatment 8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01
|
||||
Within Treatment 180 1.80000000000000E+00 1.00000000000000E-02
|
||||
|
||||
Certified R-Squared 4.82758620689655E-01
|
||||
|
||||
Certified Residual
|
||||
Standard Deviation 1.00000000000000E-01
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Data: Treatment Response
|
||||
1 1000000.4
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
1 1000000.3
|
||||
1 1000000.5
|
||||
2 1000000.3
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
2 1000000.2
|
||||
2 1000000.4
|
||||
3 1000000.5
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
3 1000000.4
|
||||
3 1000000.6
|
||||
4 1000000.3
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
4 1000000.2
|
||||
4 1000000.4
|
||||
5 1000000.5
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
5 1000000.4
|
||||
5 1000000.6
|
||||
6 1000000.3
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
6 1000000.2
|
||||
6 1000000.4
|
||||
7 1000000.5
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
7 1000000.4
|
||||
7 1000000.6
|
||||
8 1000000.3
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
8 1000000.2
|
||||
8 1000000.4
|
||||
9 1000000.5
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
9 1000000.4
|
||||
9 1000000.6
|
||||
1869
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs05.dat
Normal file
1869
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs05.dat
Normal file
File diff suppressed because it is too large
Load diff
18069
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs06.dat
Normal file
18069
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs06.dat
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -0,0 +1,249 @@
|
|||
NIST/ITL StRD
|
||||
Dataset Name: SmLs07 (SmLs07.dat)
|
||||
|
||||
|
||||
File Format: ASCII
|
||||
Certified Values (lines 41 to 47)
|
||||
Data (lines 61 to 249)
|
||||
|
||||
|
||||
Procedure: Analysis of Variance
|
||||
|
||||
|
||||
Reference: Simon, Stephen D. and Lesage, James P. (1989).
|
||||
"Assessing the Accuracy of ANOVA Calculations in
|
||||
Statistical Software".
|
||||
Computational Statistics & Data Analysis, 8, pp. 325-332.
|
||||
|
||||
|
||||
Data: 1 Factor
|
||||
9 Treatments
|
||||
21 Replicates/Cell
|
||||
189 Observations
|
||||
13 Constant Leading Digits
|
||||
Higher Level of Difficulty
|
||||
Generated Data
|
||||
|
||||
|
||||
Model: 10 Parameters (mu,tau_1, ... , tau_9)
|
||||
y_{ij} = mu + tau_i + epsilon_{ij}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Certified Values:
|
||||
|
||||
Source of Sums of Mean
|
||||
Variation df Squares Squares F Statistic
|
||||
|
||||
Between Treatment 8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01
|
||||
Within Treatment 180 1.80000000000000E+00 1.00000000000000E-02
|
||||
|
||||
Certified R-Squared 4.82758620689655E-01
|
||||
|
||||
Certified Residual
|
||||
Standard Deviation 1.00000000000000E-01
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Data: Treatment Response
|
||||
1 1000000000000.4
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
1 1000000000000.3
|
||||
1 1000000000000.5
|
||||
2 1000000000000.3
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
2 1000000000000.2
|
||||
2 1000000000000.4
|
||||
3 1000000000000.5
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
3 1000000000000.4
|
||||
3 1000000000000.6
|
||||
4 1000000000000.3
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
4 1000000000000.2
|
||||
4 1000000000000.4
|
||||
5 1000000000000.5
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
5 1000000000000.4
|
||||
5 1000000000000.6
|
||||
6 1000000000000.3
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
6 1000000000000.2
|
||||
6 1000000000000.4
|
||||
7 1000000000000.5
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
7 1000000000000.4
|
||||
7 1000000000000.6
|
||||
8 1000000000000.3
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
8 1000000000000.2
|
||||
8 1000000000000.4
|
||||
9 1000000000000.5
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
9 1000000000000.4
|
||||
9 1000000000000.6
|
||||
1869
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs08.dat
Normal file
1869
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs08.dat
Normal file
File diff suppressed because it is too large
Load diff
18069
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs09.dat
Normal file
18069
venv/Lib/site-packages/scipy/stats/tests/data/nist_anova/SmLs09.dat
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -0,0 +1,97 @@
|
|||
NIST/ITL StRD
|
||||
Dataset Name: Norris (Norris.dat)
|
||||
|
||||
File Format: ASCII
|
||||
Certified Values (lines 31 to 46)
|
||||
Data (lines 61 to 96)
|
||||
|
||||
Procedure: Linear Least Squares Regression
|
||||
|
||||
Reference: Norris, J., NIST.
|
||||
Calibration of Ozone Monitors.
|
||||
|
||||
Data: 1 Response Variable (y)
|
||||
1 Predictor Variable (x)
|
||||
36 Observations
|
||||
Lower Level of Difficulty
|
||||
Observed Data
|
||||
|
||||
Model: Linear Class
|
||||
2 Parameters (B0,B1)
|
||||
|
||||
y = B0 + B1*x + e
|
||||
|
||||
|
||||
|
||||
Certified Regression Statistics
|
||||
|
||||
Standard Deviation
|
||||
Parameter Estimate of Estimate
|
||||
|
||||
B0 -0.262323073774029 0.232818234301152
|
||||
B1 1.00211681802045 0.429796848199937E-03
|
||||
|
||||
Residual
|
||||
Standard Deviation 0.884796396144373
|
||||
|
||||
R-Squared 0.999993745883712
|
||||
|
||||
|
||||
Certified Analysis of Variance Table
|
||||
|
||||
Source of Degrees of Sums of Mean
|
||||
Variation Freedom Squares Squares F Statistic
|
||||
|
||||
Regression 1 4255954.13232369 4255954.13232369 5436385.54079785
|
||||
Residual 34 26.6173985294224 0.782864662630069
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Data: y x
|
||||
0.1 0.2
|
||||
338.8 337.4
|
||||
118.1 118.2
|
||||
888.0 884.6
|
||||
9.2 10.1
|
||||
228.1 226.5
|
||||
668.5 666.3
|
||||
998.5 996.3
|
||||
449.1 448.6
|
||||
778.9 777.0
|
||||
559.2 558.2
|
||||
0.3 0.4
|
||||
0.1 0.6
|
||||
778.1 775.5
|
||||
668.8 666.9
|
||||
339.3 338.0
|
||||
448.9 447.5
|
||||
10.8 11.6
|
||||
557.7 556.0
|
||||
228.3 228.1
|
||||
998.0 995.8
|
||||
888.8 887.6
|
||||
119.6 120.2
|
||||
0.3 0.3
|
||||
0.6 0.3
|
||||
557.6 556.8
|
||||
339.3 339.1
|
||||
888.0 887.2
|
||||
998.5 999.0
|
||||
778.9 779.0
|
||||
10.2 11.1
|
||||
117.6 118.3
|
||||
228.9 229.2
|
||||
668.4 669.1
|
||||
449.2 448.9
|
||||
0.2 0.5
|
||||
|
||||
Binary file not shown.
Binary file not shown.
Loading…
Add table
Add a link
Reference in a new issue