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      Variable selection for generalized linear mixed models by L 1-penalized estimation

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      Statistics and Computing
      Springer Nature

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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              The Adaptive Lasso and Its Oracle Properties

              Hui Zou (2006)
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                Author and article information

                Journal
                Statistics and Computing
                Stat Comput
                Springer Nature
                0960-3174
                1573-1375
                March 2014
                October 18 2012
                : 24
                : 2
                : 137-154
                Article
                10.1007/s11222-012-9359-z
                9dbce917-9150-413c-b0ed-267830c37a08
                © 2012
                History

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