| Package | Description |
|---|---|
| gov.sandia.cognition.statistics.method |
Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractPairwiseMultipleHypothesisComparison<StatisticType extends AbstractPairwiseMultipleHypothesisComparison.Statistic>
A multiple-hypothesis comparison algorithm based on making multiple
pair-wise null-hypothesis comparisons.
|
class |
BonferroniCorrection
The Bonferroni correction takes a pair-wise null-hypothesis test and
generalizes it to multiple comparisons by adjusting the requisite p-value
to find significance as alpha / NumComparisons.
|
class |
HolmCorrection
The Holm correction is a uniformly tighter bound than the Bonferroni/Sidak
correction by first sorting the pair-wide p-values and then adjusting the
p-values by the number of remaining hypotheses.
|
class |
NemenyiConfidence
The Nemenyi test is the rank-based analogue of the Tukey multiple-comparison
test.
|
class |
ShafferStaticCorrection
The Shaffer Static Correction uses logical relationships to tighten up the
Bonferroni/Sidak corrections when performing pairwise multiple hypothesis
comparisons.
|
class |
SidakCorrection
The Sidak correction takes a pair-wise null-hypothesis test and
generalizes it to multiple comparisons by adjusting the requisite p-value
to find significance as alpha / NumComparisons.
|
class |
TukeyKramerConfidence
Tukey-Kramer test is the multiple-comparison generalization of the unpaired
Student's t-test when conducting multiple comparisons.
|