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Studies in Item Analysis and Prediction.

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inferred← citeshttps://doi.org/10.1002/0470011815.b2a10018openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/0471667196.ess6055openalex-snapshot
B ahadur, R aghu R aj
inferred← citeshttps://doi.org/10.1002/bimj.200800123openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/gepi.10184openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_13openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf02294734openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf02911634openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bfb0104277openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11238-009-9170-2openalex-snapshot
Optimal jury design for homogeneous juries with correlated votes
inferred← citeshttps://doi.org/10.1016/0031-3203(78)90027-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0304-4076(83)90096-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-154050-0.50012-5openalex-snapshot
THEORIES AND METHODS IN CLASSIFICATION: A REVIEW
inferred← citeshttps://doi.org/10.1016/j.forsciint.2021.110912openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0022-5371(79)90383-9openalex-snapshot
Independence of trace storage and organized recall
inferred← citeshttps://doi.org/10.1080/00220973.1982.11011819openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00949650108812119openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00949659008811275openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/01621459.1970.10481076openalex-snapshot
The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications
inferred← citeshttps://doi.org/10.1080/01621459.1984.10477083openalex-snapshot
Modeling and Inference for Multivariate Binary Data with Positive Dependence
inferred← citeshttps://doi.org/10.1080/01621459.1995.10476586openalex-snapshot
A Saturated Model for Analyzing Exchangeable Binary Data: Applications to Clinical and Developmental Toxicity Studies
inferred← citeshttps://doi.org/10.1080/01621459.1997.10473675openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/01621459.1999.10473817openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/03610928608829129openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/03610929508831596openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10618600.2015.1092979openalex-snapshot
Mixture Modeling for Longitudinal Data
inferred← citeshttps://doi.org/10.1109/pgec.1966.264495openalex-snapshot
On the Threshold Order of a Boolean Function
inferred← citeshttps://doi.org/10.1109/sap.1966.271162openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tit.1968.1054098openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tit.1970.1054408openalex-snapshot
Some convergence properties of a nearest neighbor decision rule
inferred← citeshttps://doi.org/10.1109/tit.2009.2037034openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/1541-0420.00003openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/j.1541-0420.2010.01393.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1137/0117077openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/1115020openalex-snapshot
Non-Parametric Decision Functions with Asymptotic Minimax Optimality
inferred← citeshttps://doi.org/10.22237/jmasm/1020256080openalex-snapshot
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inferred← citeshttps://doi.org/10.2333/bhmk.20.91openalex-snapshot
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