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/*
* File: BlockExperimentComparison.java
* Authors: Kevin R. Dixon
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright Jun 2, 2011, Sandia Corporation.
* Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
* license for use of this work by or on behalf of the U.S. Government.
* Export of this program may require a license from the United States
* Government. See CopyrightHistory.txt for complete details.
*
*/
package gov.sandia.cognition.statistics.method;
import gov.sandia.cognition.annotation.PublicationReference;
import gov.sandia.cognition.annotation.PublicationType;
import java.util.Collection;
/**
* Implements a null-hypothesis multiple-comparison test from a block-design
* experiment. In these experiments, there are some number of "subjects"
* assigned to each "treatment". Typically, the null-hypothesis of a
* block-design experiment is that the treatments have no effect on the
* measurements of the subject.
*
* For example, one treatment may contain 10 subjects who are given nothing
* but water. Another treatment may contain 8 subjects who are given pure
* corn syrup. A third treatment may contain 12 subjects given liquefied lard.
* The experimenter then measures the change in the subjects' weight from the
* beginning to the end of the experiment. The null-hypothesis may be that
* the treatments (water, corn syrup, lard) has no effect on the weight gain
* of the subjects.
*
* Please note that block-experiment comparisons, such as ANOVA and Friedman's
* test, typically DO NOT indicate which treatment is statistically
* significantly different from the others, just that a difference exists.
* You must run a MultipleHypothesisComparison test to determine which
* treatments are different from the others.
*
* @param Type of data measured from each subject.
* @author Kevin R. Dixon
* @since 3.3.0
*/
@PublicationReference(
author="Wikipedia",
title="Randomized Block Design",
type=PublicationType.WebPage,
year=2011,
url="http://en.wikipedia.org/wiki/Randomized_block_design"
)
public interface BlockExperimentComparison
extends NullHypothesisEvaluator>
{
/**
* Evaluates the null hypothesis for the given block-design treatments
* @param treatments
* Collection of treatments for the block-design experiment, where each
* treatment contains
* @return
* The confidence for the null hypothesis.
*/
public ConfidenceStatistic evaluateNullHypothesis(
Collection extends Collection extends DataType>> treatments );
}