Results 11 to 20 of about 283,018 (295)
State Space Modeling Using SAS
Journal of Statistical Software, 2011 This article provides a brief introduction to the state space modeling capabilities in SAS, a well-known statistical software system. SAS provides state space modeling in a few different settings.
Rajesh Selukar
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GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots
Journal of Statistical Software, 2008 Internal pilot designs involve conducting interim power analysis (without interim data analysis) to modify the final sample size. Recently developed techniques have been described to avoid the type~I error rate inflation inherent to unadjusted hypothesis
John A. Kairalla +2 more
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POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models
Journal of Statistical Software, 2009 The POWERLIB SAS/IML software provides convenient power calculations for a widerange of multivariate linear models with Gaussian errors. The software includes the Box,Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the univariate" approach ...
Jacqueline L. Johnson +5 more
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POWERLIB:SAS/IMLSoftware for Computing Power in Multivariate Linear Models [PDF]
Journal of Statistical Software, 2009 The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariate linear models with Gaussian errors. The software includes the Box, Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the “univariate” approach to repeated measures (UNIREP), the Hotelling Lawley Trace, Pillai-Bartlett Trace, and Wilks Lambda ...
Johnson, Jacqueline L. +5 more
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GLUMIP2.0:SAS/IMLSoftware for Planning Internal Pilots
Journal of Statistical Software, 2008 Internal pilot designs involve conducting interim power analysis (without interim data analysis) to modify the final sample size. Recently developed techniques have been described to avoid the type I error rate inflation inherent to unadjusted hypothesis tests, while still providing the advantages of an internal pilot design. We present GLUMIP 2.0, the
Kairalla, John A. +2 more
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Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the χ2 test and SAS and R software implementation of three kinds of two-way unordered two-dimensional contingency table data except the four-fold table data.
Hu Chunyan, Hu Liangping
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the linear trend χ2 tests for the data of the two kinds of one-way ordinal two-dimensional contingency tables and the implementation of SAS and R software.
Hu Chunyan, Hu Liangping
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the McNemar΄s χ2 test and SAS and R software implementation of four-fold table data collected from the matched pairs design.
Hu Chunyan, Hu Liangping
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the χ2 test for the data of four-fold tables collected from the cohort design， the hypothesis test and interval estimation of relative risk， and the implementation of SAS and R software.
Hu Chunyan, Hu Liangping
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Simplified Polydispersion Analysis of Small-Angle Scattering Data
Applied Sciences, 2022 With polydisperse inhomogeneities, the analysis of small-angle scattering (SAS) data is possible by fitting the experimental data to theoretical models. Despite scientific software being available for this task, many scientists in different fields prefer
Flavio Carsughi
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