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Automatic selection of the proper family for simultaneous confidence intervals

โœ Scribed by William H. Dumouchel; Thomas P. Lane


Book ID
104639796
Publisher
Springer US
Year
1994
Tongue
English
Weight
816 KB
Volume
4
Category
Article
ISSN
0960-3174

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โœฆ Synopsis


Statisticians often employ simultaneous confidence intervals to reduce the likelihood of their drawing false conclusions when they must make a number of comparisons. To do this properly, it is necessary to consider the family of comparisons over which simultaneous confidence must be assured. Sometimes it is not clear what family of comparisons is appropriate. We describe how computer software can monitor the types of contrasts a user examines, and select the smallest family of contrasts that is likely to be of interest. We also describe how to calculate simultaneous confidence intervals for these families using a hybrid of the Bonferroni and Scheff6 methods. Our method is especially suitable for problems with discrete and continuous predictors.


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