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Abstract Details
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Activity Number:
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128
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #302556 |
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Title:
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Comparison of Some Series of Binary and Nonbinary Balanced Nested Row-Column Designs for Correlated Errors
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Author(s):
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Nizam Uddin*+
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Companies:
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University of Central Florida
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Address:
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Department of Statistics, Orlando, FL, 32816,
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Keywords:
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Binary ;
nonbinary ;
Correlated ;
errors
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Abstract:
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Some series of previously known neighbor balanced incomplete block designs with nested rows and columns are compared with respect to average variance of the estimates of all pairwise treatment comparisons under four different models with a second order conditional auto-normal error covariance structure. Analogous to non-binary block designs are found to be better under the row-column model and binary block designs are found to be better under the block effects model. However, both binary and non-binary designs are found to be approximately equally efficient for two other models.
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