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National Research Council (U.S.). Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems.
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Innovations in software engineering for defense systems National Research Council (U.S.). Oversight
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Saeedi, Ardavan, author.
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Latent Variable Models for Understanding User Behavior in Software Applications / Saeedi, Ardavan
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Addo, Evans Dapaa, author.
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linear regression; linear regression, non Bayesian) in the MICE package in the statistical software, R
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Jones, Stephanie, author.
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different software packages were utilized: R, SAS, and ArcGIS. The steps that were taken and the written
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Chao, Jeffrey, author.
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predicted perimeters generated by the FARSITE fire prediction software. By doing so, we are able to
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Pham, Minh H., author.
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was proposed by DuMouchel in 2013 but has not been made available in any public software package. A
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de Winter, Joost C.F. author.
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include human-computer interaction (e.g., evaluating the usability of software), exoskeletons, virtual
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Bose, Koushiki, author.
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selection for high dimensional sparse regression in the presence of correlated covariates. The software
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Mawella, Nadeesha R., author.
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efforts in a routine statistical software such as SAS. Dental caries data from the Detroit Dental Health
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Khan, Najam, author.
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spanning tree for electric transmission lines and coal transportation were validated using R-software.
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Kowalik, Dave Matthew, author. (orcid)0000-0002-3263-1849
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Perfection V19 flatbed scanner and ImageJ software allowed for fecundity analysis. Standardized river herring

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