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    <title>Most Popular - StatisticsViews</title>
    <link>http://www.statisticsviews.com</link>
    <description>The latest content from StatisticsViews.</description>
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    <dc:rights>http://www.statisticsviews.com</dc:rights>
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  <item rdf:about="http://www.statisticsviews.com/details/book/2285221/Evidence-Synthesis-for-Decision-Making-in-Healthcare.html">
    <title>Evidence Synthesis for Decision Making in Healthcare</title>
    <link>http://www.statisticsviews.com/details/book/2285221/Evidence-Synthesis-for-Decision-Making-in-Healthcare.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://media.wiley.com/product_data/coverImage/9X/04700610/047006109X.jpg' border='0' hspace='5' vspace='5' /></td><td valign='top'>In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are beneficial, are superior to all alternatives and are cost-effective. Usually one study will not provide answers to these questions and it will be necessary to synthesize evidence from multiple sources. This book aims to outline a coherent approach to such evidence synthesis, for the purpose of decision making. Each chapter contains worked examples, exercises and solutions drawn...</td></table>]]></content:encoded>
    <dc:date>2012-05-11T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2255521/Volume-171-Issue-2-April-2008.html">
    <title>Volume 171 Issue 2 (April 2008)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2255521/Volume-171-Issue-2-April-2008.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/rssa.2008.171.issue-2/asset/cover.gif?v=1&s=655766d836add608dc1c6f8f0d2fa3188a9f2203' border='0' hspace='5' vspace='5' /></td><td valign='top'>319-508</td></table>]]></content:encoded>
    <dc:date>2008-04-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2231121/Volume-79-Issue-1-April-2011.html">
    <title>Volume 79 Issue 1 (April 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2231121/Volume-79-Issue-1-April-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/insr.2011.79.issue-1/asset/cover.gif?v=1&s=edb32ee4e8d06b92bb9feddb1a89424995428331' border='0' hspace='5' vspace='5' /></td><td valign='top'>1-143</td></table>]]></content:encoded>
    <dc:date>2011-04-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2233721/Volume-77-Issue-2-August-2009.html">
    <title>Volume 77 Issue 2 (August 2009)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2233721/Volume-77-Issue-2-August-2009.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/insr.2009.77.issue-2/asset/cover.gif?v=1&s=18db596f4c2add519337c804410d67f04b722a72' border='0' hspace='5' vspace='5' /></td><td valign='top'>167-328</td></table>]]></content:encoded>
    <dc:date>2009-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2232771/Volume-78-Issue-2-August-2010.html">
    <title>Volume 78 Issue 2 (August 2010)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2232771/Volume-78-Issue-2-August-2010.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/insr.2010.78.issue-2/asset/cover.gif?v=1&s=47eaef648a4f8043394cbe911f2beac9f8b628b0' border='0' hspace='5' vspace='5' /></td><td valign='top'>161-328</td></table>]]></content:encoded>
    <dc:date>2010-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/2231851/Tracking-Progress-Towards-Statistical-Capacity-Building___.html">
    <title>Tracking Progress Towards Statistical Capacity Building...</title>
    <link>http://www.statisticsviews.com/details/journalArticle/2231851/Tracking-Progress-Towards-Statistical-Capacity-Building___.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Résumé
      
         Cet article présente l'Indice de développement statistique africain, un indice composite ayant pour objectif de supporter
            le suivi et l'évaluation de la mise en oeuvre du Cadre stratégique régional de référence pour le renforcement des capacités
            statistiques en Afrique. Cet indice permet, entre autres, d'identifier les forces et faiblesses du système statistique national
            de chaque pays africain en vue de favoriser des...</td></table>]]></content:encoded>
    <dc:date>2011-11-21T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2244531/Volume-27-Issue-4-June-2011.html">
    <title>Volume 27 Issue 4 (June 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2244531/Volume-27-Issue-4-June-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1002/qre.v27.4/asset/cover.gif?v=1&s=8cf272d94409a444d263dd415d4d3a5d3575a394' border='0' hspace='5' vspace='5' /></td><td valign='top'>389-607</td></table>]]></content:encoded>
    <dc:date>2011-06-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2244971/Volume-27-Issue-8-December-2011.html">
    <title>Volume 27 Issue 8 (December 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2244971/Volume-27-Issue-8-December-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1002/qre.v27.8/asset/cover.gif?v=1&s=3cebf78a217fe2a10f892e576e7813a3d3653efb' border='0' hspace='5' vspace='5' /></td><td valign='top'>979-1234</td></table>]]></content:encoded>
    <dc:date>2011-12-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2255711/Volume-171-Issue-1-January-2008.html">
    <title>Volume 171 Issue 1 (January 2008)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2255711/Volume-171-Issue-1-January-2008.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/rssa.2008.171.issue-1/asset/cover.gif?v=1&s=ff7a87186a4a0be2a005342ed94d091f2783cef1' border='0' hspace='5' vspace='5' /></td><td valign='top'>1-318</td></table>]]></content:encoded>
    <dc:date>2008-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2255031/Volume-171-Issue-4-October-2008.html">
    <title>Volume 171 Issue 4 (October 2008)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2255031/Volume-171-Issue-4-October-2008.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/rssa.2008.171.issue-4/asset/cover.gif?v=1&s=798b7f70ee43a93cd367158cbfcebaec4618bf87' border='0' hspace='5' vspace='5' /></td><td valign='top'>763-1050</td></table>]]></content:encoded>
    <dc:date>2008-10-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2224531/Volume-53-Issue-2-June-2011.html">
    <title>Volume 53 Issue 2 (June 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2224531/Volume-53-Issue-2-June-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/anzs.2011.53.issue-2/asset/cover.gif?v=1&s=41375efa019d6bc3514fb94696a58a7ee10a360d' border='0' hspace='5' vspace='5' /></td><td valign='top'>131-269</td></table>]]></content:encoded>
    <dc:date>2011-06-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2249041/Volume-10-Issue-4-JulyAugust-2011.html">
    <title>Volume 10 Issue 4 (July/August 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2249041/Volume-10-Issue-4-JulyAugust-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1002/pst.v10.4/asset/cover.gif?v=1&s=1026a95d5f5313c40b5c1537f5f1ad574e2a8e05' border='0' hspace='5' vspace='5' /></td><td valign='top'>289-392</td></table>]]></content:encoded>
    <dc:date>2011-07-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/2258611/DEA-models-for-twostage-processes-Game-approach-and___.html">
    <title>DEA models for two‐stage processes: Game approach and...</title>
    <link>http://www.statisticsviews.com/details/journalArticle/2258611/DEA-models-for-twostage-processes-Game-approach-and___.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). This tool has
            been utilized by a number of authors to examine two‐stage processes, where all the outputs from the first stage are the only
            inputs to the second stage. The current article examines and extends these models using game theory concepts. The resulting
            models are linear, and imply an efficiency...</td></table>]]></content:encoded>
    <dc:date>2008-08-25T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2244141/Volume-27-Issue-7-November-2011.html">
    <title>Volume 27 Issue 7 (November 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2244141/Volume-27-Issue-7-November-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1002/qre.v27.7/asset/cover.gif?v=1&s=88d0073583eb4f731e25fe6ff418128aa7d0e54e' border='0' hspace='5' vspace='5' /></td><td valign='top'>855-977</td></table>]]></content:encoded>
    <dc:date>2011-11-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2230671/Volume-80-Issue-1-April-2012.html">
    <title>Volume 80 Issue 1 (April 2012)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2230671/Volume-80-Issue-1-April-2012.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/insr.2012.80.issue-1/asset/cover.gif?v=1&s=4124668ab8565c20396daf3b2e43653fc0e78536' border='0' hspace='5' vspace='5' /></td><td valign='top'>1-204</td></table>]]></content:encoded>
    <dc:date>2012-04-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2293511/Volume-30-Issue-3-March-2010.html">
    <title>Volume 30 Issue 3 (March 2010)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2293511/Volume-30-Issue-3-March-2010.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1111/risk.2010.30.issue-3/asset/cover.gif?v=1&s=c05f0bede545c1c88a0467f7828807a0fd9f12c5' border='0' hspace='5' vspace='5' /></td><td valign='top'>325-525</td></table>]]></content:encoded>
    <dc:date>2010-03-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/2244031/Comparison-of-multivariate-statistical-methods-for-dynamic___.html">
    <title>Comparison of multivariate statistical methods for dynamic...</title>
    <link>http://www.statisticsviews.com/details/journalArticle/2244031/Comparison-of-multivariate-statistical-methods-for-dynamic___.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         In this paper two multivariate statistical methodologies are compared in order to estimate a multi‐input multi‐output transfer
            function model in an industrial polymerization process. In these contexts, process variables are usually autocorrelated 
            (i.e. there is time‐dependence between observations), posing some problems to classical linear regression models. The two
            methodologies to be compared are both related to the...</td></table>]]></content:encoded>
    <dc:date>2010-04-06T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/2279331/Testing-for-generalized-linear-mixed-models-with-cluster___.html">
    <title>Testing for generalized linear mixed models with cluster...</title>
    <link>http://www.statisticsviews.com/details/journalArticle/2279331/Testing-for-generalized-linear-mixed-models-with-cluster___.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         Generalized linear mixed models (GLMMs) are often used for analyzing cluster correlated data, including longitudinal data
            and repeated measurements. Full unrestricted maximum likelihood (ML) approaches for inference on both fixed‐and random‐effects
            parameters in GLMMs have been extensively studied in the literature. However, parameter orderings or constraints may occur
            naturally in practice, and in such cases, the...</td></table>]]></content:encoded>
    <dc:date>2012-04-02T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalIssue/2249251/Volume-10-Issue-3-MayJune-2011.html">
    <title>Volume 10 Issue 3 (May/June 2011)</title>
    <link>http://www.statisticsviews.com/details/journalIssue/2249251/Volume-10-Issue-3-MayJune-2011.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.onlinelibrary.wiley.com/store/10.1002/pst.v10.3/asset/cover.gif?v=1&s=19d6c213f18bb619dc56b6ff6fd623dedae99faa' border='0' hspace='5' vspace='5' /></td><td valign='top'>191-288</td></table>]]></content:encoded>
    <dc:date>2011-05-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/2279691/Optimal-estimating-functions-in-incomplete-data-and-length___.html">
    <title>Optimal estimating functions in incomplete data and length...</title>
    <link>http://www.statisticsviews.com/details/journalArticle/2279691/Optimal-estimating-functions-in-incomplete-data-and-length___.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         It is well known that the score function is the optimal estimating function among all regular unbiased estimating functions
            (Godambe, 1960). In the presence of incomplete data such as missing data or length biased sampling data, Horvitz and Thompson's
            (1952) method is an effective way of eliminating the possible bias induced by using complete data only. In this article, we
            show that the inverse weighted Horvitz and Thompson...</td></table>]]></content:encoded>
    <dc:date>2011-07-27T00:00:00Z</dc:date>
  </item>
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