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    <title>DSpace community: 統計研究所</title>
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      <title>115年統計研究所-數理統計-入學考試題</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/109396</link>
      <description>title: 115年統計研究所-數理統計-入學考試題 abstract: 國立中央大學圖書館-National Central University (Taiwan) Institutional Repository-考古題-理學院-統計研究所-115年數理統計試題
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      <pubDate>Thu, 14 May 2026 08:04:55 GMT</pubDate>
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      <title>115年統計研究所-基礎數學-入學考試題</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/109392</link>
      <description>title: 115年統計研究所-基礎數學-入學考試題 abstract: 國立中央大學圖書館-National Central University (Taiwan) Institutional Repository-考古題-理學院-統計研究所-115年基礎數學試題
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      <pubDate>Thu, 14 May 2026 07:59:40 GMT</pubDate>
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      <title>Universal surrogate likelihood functions for nonnegative continuous data</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/105931</link>
      <description>title: Universal surrogate likelihood functions for nonnegative continuous data abstract: 摘要： In independent and identically distributed situations, we show that one can properly correct the Poisson and the negative binomial likelihood functions to become asymptotically identical to the profile likelihood function for the mean parameter of nonnegative continuous distributions under mild conditions. We present theoretical justifications and use data analyses to demonstrate the merit of our new robust likelihood method.
其他題名： Metrika
出版者： Berlin/Heidelberg: Springer Berlin Heidelberg
出版日期： 2015-08-01
出處： Metrika, 2015-08, Vol.78 (6), p.635-646
資源來源： Springer Nature - Complete Springer Journals
版權： Springer-Verlag Berlin Heidelberg 2014
識別號： ISSN: 0026-1335
識別號： EISSN: 1435-926X
識別號： DOI: 10.1007/s00184-014-0519-3
&lt;br&gt;</description>
      <pubDate>Thu, 23 Apr 2026 05:01:20 GMT</pubDate>
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      <title>Two-stage signal restoration based on a modified median filter</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/105926</link>
      <description>title: Two-stage signal restoration based on a modified median filter abstract: 摘要： Median filter is a robust technique for signal restoration when outliers occurred within observations. Moreover, smoothing splines is also an alternative method for recovering the underlying signals. Interestingly, we found that neither median filter nor smoothing splines dominates each other. To obtain a more robust signal estimate, a two-stage procedure for signal denoising is considered, in which the smoothing spline method is applied again to capture possible information within the differences of median filter and smoothing spline estimates. Then, according to an approximate estimator of -risk, a modified median filter method is proposed to estimate the underlying signals. Various comparisons are made via simulation studies to illustrate the superiority of the proposed method.
出版者： Abingdon: Taylor &amp; Francis
出版日期： 2016-01-02
出處： Journal of statistical computation and simulation, 2016-01, Vol.86 (1), p.122-134
版權： 2015 Taylor &amp; Francis 2015
版權： Copyright Taylor &amp; Francis Ltd. 2016
識別號： ISSN: 0094-9655
識別號： EISSN: 1563-5163
識別號： DOI: 10.1080/00949655.2014.996152
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      <pubDate>Thu, 23 Apr 2026 05:01:10 GMT</pubDate>
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