U-statistics

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11U.S . Department of Justice Office of Justice Programs Revised pageBureau of Justice Statistics

U.S . Department of Justice Office of Justice Programs Revised pageBureau of Justice Statistics

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Source URL: www.guncite.com

Language: English - Date: 2013-04-23 22:00:22
    12Mink Washington, D.C. Released July 15, 2005, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, U.S. Department of Agriculture. For information on Mink call Mike Barker at

    Mink Washington, D.C. Released July 15, 2005, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, U.S. Department of Agriculture. For information on Mink call Mike Barker at

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    Source URL: soglomotest1.wpengine.com

    Language: English - Date: 2016-09-20 13:27:33
      13Mink Washington, D.C. Released July 14, 2006, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, U.S. Department of Agriculture. For information on Mink call Fleming Gibson at

      Mink Washington, D.C. Released July 14, 2006, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, U.S. Department of Agriculture. For information on Mink call Fleming Gibson at

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      Source URL: soglomotest1.wpengine.com

      Language: English - Date: 2016-09-20 13:27:32
        14Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

        Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

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        Source URL: www.unc.edu

        Language: English - Date: 2007-09-14 17:32:27
          15情報処理学会研究報告 IPSJ SIG Technical Report timation methods based on Bayesian statistics are introduced. Optimal offline automatic tuning is then formulated as a sequential sampling problem, if the objectiv

          情報処理学会研究報告 IPSJ SIG Technical Report timation methods based on Bayesian statistics are introduced. Optimal offline automatic tuning is then formulated as a sequential sampling problem, if the objectiv

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          Source URL: sudalab.is.s.u-tokyo.ac.jp

          Language: Japanese - Date: 2013-04-18 03:19:52
            16U.S. Department of Justice Office of Justice Programs Bureau of Justice Statistics  Special Report

            U.S. Department of Justice Office of Justice Programs Bureau of Justice Statistics Special Report

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            Source URL: www.bjs.gov

            Language: English - Date: 2009-09-01 16:19:36
              17U.S. Department of Justice Office of Justice Programs Bureau of Justice Statistics TECHNICAL REPORT

              U.S. Department of Justice Office of Justice Programs Bureau of Justice Statistics TECHNICAL REPORT

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              Source URL: www.bjs.gov

              Language: English - Date: 2015-10-26 11:17:30
                18Hi-Stat  Discussion Paper Series No.147  China’s Long-Term International Trade Statistics:

                Hi-Stat Discussion Paper Series No.147 China’s Long-Term International Trade Statistics:

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                Source URL: hi-stat.ier.hit-u.ac.jp

                Language: English - Date: 2006-03-20 00:33:10
                  19No. DP14-2  RCESR Discussion Paper Series Biases to Manufacturing Statistics from Offshoring: Evidence from Japan

                  No. DP14-2 RCESR Discussion Paper Series Biases to Manufacturing Statistics from Offshoring: Evidence from Japan

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                  Source URL: risk.ier.hit-u.ac.jp

                  Language: English - Date: 2014-10-19 22:32:49
                    20U.S. Department of Justice Office of Justice Programs Bureau of Justice Statistics Revised August 7, 2018 January 2018, NCJ

                    U.S. Department of Justice Office of Justice Programs Bureau of Justice Statistics Revised August 7, 2018 January 2018, NCJ

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                    Source URL: www.bjs.gov

                    Language: English - Date: 2018-08-07 13:11:39