Results 11 to 20 of about 8,661,639 (296)
R and the Journal of Statistical Software [PDF]
Journal of Statistical Software, 2016 The Journal of Statistical Software was founded by Jan de Leeuw in 1996, the year before the Comprehensive R Archive Network (CRAN) first made R and contributed R packages widely available on the Internet.
John Fox, Allison Leanage
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Why Write Statistical Software? The Case of Robust Statistical Methods [PDF]
Journal of Statistical Software, 2004 Robust statistical methods are designed to work well when classical assumptions, typically normality and/or the lack of outliers, are violated. Almost everyone agrees on the value of robust statistical procedures.
Arnold J. Stromberg
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Nineteen Ways of Looking at Statistical Software [PDF]
Journal of Statistical Software, 2011 We identify principles and practices for writing and publishing statistical software with maximum benefit to the scholarly community.
Micah Altman, Simon Jackman
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Clarify: Software for Interpretng and Presenting Statistical Results [PDF]
, 2010 GovernmentVersion of ...
Tomz, Michael +2 more
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Free software applications for authors for writing a research paper
Journal of Family Medicine and Primary Care, 2023 Basic computer skills are essential for authors writing research papers as it has the potential to make the task easier for a researcher. This article provides a glimpse about the essential software programs for a novice author writing a research paper ...
Himel Mondal +4 more
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Statistical Software Certification [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2001 In the first part (sections 1 and 2), this article describes the automated process that is used to certify Stata prior to shipment of new releases or updates. The second part (section 3) describes how these techniques can be adopted to your own work.
openaire +2 more sources
Ensemble Based Box-Cox Transformation via Meta Analysis
Journal of Advanced Research in Natural and Applied Sciences, 2022 Normal distribution has a vital role for the most of statistical methods. Box-Cox power transformation is the most usually applied method when the distribution of data is not normal.
Osman Dağ, Muhammed Ali Yılmaz
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A Reparameterized Birnbaum–Saunders Distribution and its Moments, Estimation and Applications
Revstat Statistical Journal, 2014 The Birnbaum–Saunders (BS) distribution is a model that is receiving considerable attention due to its good properties. We provide some results on moments of a reparameterized version of the BS distribution and a generation method of random numbers from
Manoel Santos-Neto +3 more
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Predicting cancer risk based on family history
eLife, 2021 A new software package provides more accurate cancer risk prediction profiles and has the ability to integrate more genes and cancer types in the future.
Michelle F Jacobs
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Hybrids of Gibbs Point Process Models and Their Implementation [PDF]
, 2013 We describe a simple way to construct new statistical models for spatial point pattern data. Taking two or more existing models (finite Gibbs spatial point processes) we multiply the probability densities together and renormalise to obtain a new ...
Adrian Baddeley +14 more
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