Results 261 to 270 of about 216,838 (308)
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WIREs Computational Statistics, 2012
AbstractMissing data are a common problem in statistics. Imputation, or filling in the missing values, is an intuitive and flexible way to address the resulting incomplete data sets. We focus on multiple imputation, which, when implemented correctly, can be a statistically valid strategy for handling missing data.
Rässler, Susanne +2 more
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AbstractMissing data are a common problem in statistics. Imputation, or filling in the missing values, is an intuitive and flexible way to address the resulting incomplete data sets. We focus on multiple imputation, which, when implemented correctly, can be a statistically valid strategy for handling missing data.
Rässler, Susanne +2 more
openaire +2 more sources
Scandinavian Journal of Statistics, 1998
The method of likelihood imputation is devised under the framework of latent structure models where the observation is a statistic of the complete data which can only be specified on a latent basis. The imputed data set is chosen to differ least from the observed one in their information contents—a concept with general implications for the analysis of ...
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The method of likelihood imputation is devised under the framework of latent structure models where the observation is a statistic of the complete data which can only be specified on a latent basis. The imputed data set is chosen to differ least from the observed one in their information contents—a concept with general implications for the analysis of ...
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Abstract This chapter underscores the importance of being able to the norms of practical philosophy in concrete circumstances, particularly as relevant to Kant’s moral theory as expounded in the Groundwork and second Critique. Notably absent in these works is a comprehensive theory or even reflection on the application of moral laws ...
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Multiple Imputation: An Iterative Regression Imputation
International Journal of Mathematical Sciences and Optimization: Theory and Applications, 2023Multiple imputation (MI) is a commonly applied method of statistically handling missing data. It involves imputing missing values repeatedly to account for the variability due to imputations. There are different techniques of MI that have proven to be effective and available in many statistical software packages.
Bintou, T., Ismaila, A. A.
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Compatibility in imputation specification
Behavior Research Methods, 2022Missing data such as data missing at random (MAR) are unavoidable in real data and have the potential to undermine the validity of research results. Multiple imputation is one of the most widely used MAR-based methods in education and behavioral science applications.
Han, Du +3 more
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Retail and Distribution Management, 1973
From time to time we have had occasion to refer to earnings per share in terms of the new ‘imputation’ system of company taxation. This is a somewhat complex system and we have asked our Financial Correspondent to explain in some detail what is involved.
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From time to time we have had occasion to refer to earnings per share in terms of the new ‘imputation’ system of company taxation. This is a somewhat complex system and we have asked our Financial Correspondent to explain in some detail what is involved.
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2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2018
Missing data is challenging enough without the added complexities posed by a lack of research in evaluating imputation. Not only could we potentially increase the impact and validity of studies from many different sectors (research, public and private), we also believe that by creating evaluation software, more researchers may be willing to use and ...
Anthony Chapman +2 more
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Missing data is challenging enough without the added complexities posed by a lack of research in evaluating imputation. Not only could we potentially increase the impact and validity of studies from many different sectors (research, public and private), we also believe that by creating evaluation software, more researchers may be willing to use and ...
Anthony Chapman +2 more
openaire +1 more source

