Results 191 to 200 of about 9,916,451 (240)
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Selection Bias and Self-Selection
1987The problem of selection bias in economic and social statistics arises when a rule other than simple random sampling is used to sample the underlying population that is the object of interest. The distorted representation of a true population as a consequence of a sampling rule is the essence of the selection problem.
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Regression and time series model selection in small samples
, 1989SUMMARY A bias correction to the Akaike information criterion, AIC, is derived for regression and autoregressive time series models. The correction is of particular use when the sample size is small, or when the number of fitted parameters is a moderate ...
Clifford M. Hurvich, Chih-Ling Tsai
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Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
, 1989Using the Kullback-Leibler information criterion to measure the closeness of a model to the truth, the author proposes new likelihood-ratio-based statistics for testing the null hypothesis that the competing models are as close to the true data ...
Q. Vuong
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, 1998
This article summarizes the practical and theoretical implications of 85 years of research in personnel selection. On the basis of meta-analytic findings, this article presents the validity of 19 selection procedures for predicting job performance and ...
F. Schmidt, J. Hunter
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This article summarizes the practical and theoretical implications of 85 years of research in personnel selection. On the basis of meta-analytic findings, this article presents the validity of 19 selection procedures for predicting job performance and ...
F. Schmidt, J. Hunter
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The American Mathematical Monthly, 1956
(1956). Selected Selection Theorems. The American Mathematical Monthly: Vol. 63, No. 4, pp. 233-238.
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(1956). Selected Selection Theorems. The American Mathematical Monthly: Vol. 63, No. 4, pp. 233-238.
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Selective differentiation: Redefining selections
Acta Mathematica Academiae Scientiarum Hungaricae, 1982The concept of selective differentiation was introduced and developed in [4]. Here we present selective differentiation from a different viewpoint or, rather, in a new framework. This framework takes some effort to erect but is profitable in terms of the results obtained. It originates from several very simple observations.
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Model-Based Clustering and Classification for Data Science, 2019
Bastian Goldluecke+8 more
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Bastian Goldluecke+8 more
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Finanzwirtschaft, Banken und Bankmanagement I Finance, Banks and Bank Management, 2019
Gevorg Hunanyan
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Gevorg Hunanyan
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Bibliography—a Selection [PDF]
Catherine Humblet+3 more
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