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1541“… A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise:Is there a short hand procedure for a statistical test available in SAS or R?…”
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1542
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1543
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1544“…The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).…”
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1545por Redford, S“…In this paper, the CLIC vertex detector requirements are reviewed and the current status of R&D on sensors, readout, powering, cooling and supports is presented.…”
Publicado 2014
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1546
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1547por Dannheim, D“…In this contribution the CLIC vertex-detector requirements are reviewed and the current status of R&D on readout and sensors is presented.…”
Publicado 2014
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1548
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1549
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1550
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1551
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1552
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1553
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1554
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1555
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1556por Jockers, Matthew L“…R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. …”
Publicado 2014
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1557por Willekens, Frans“…The model parameters, transition rates, are estimated from data on event counts and populations at risk, using the statistical theory of counting processes. The Comprehensive R Network Archive (CRAN) includes several packages for multistate modeling. …”
Publicado 2014
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1558“…Several example data sets illustrate empirical applications of each method with R…”
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1559“…They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm.The book first gives an overview of the R language and basic statistical c…”
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1560por Hay-Jahans, Christopher“…Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. …”
Publicado 2011
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