DC 欄位 |
值 |
語言 |
DC.contributor | 統計研究所 | zh_TW |
DC.creator | 林宜德 | zh_TW |
DC.creator | Yi-Te Lin | en_US |
dc.date.accessioned | 2008-6-12T07:39:07Z | |
dc.date.available | 2008-6-12T07:39:07Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=952205002 | |
dc.contributor.department | 統計研究所 | zh_TW |
DC.description | 國立中央大學 | zh_TW |
DC.description | National Central University | en_US |
dc.description.abstract | 在本篇論文中,我們將探討 Kennedy 在 1988 年所提出的一隨機搜尋過程,可用來生成近似的 beta 變量。我們的目標是確認最佳的參數設定,使得 Kennedy 的演算法可以達到最快的生成速度。為了評估所提演算法之效能,我們也探討一些文獻中常用的 beta 演算法,並以下列準則來作比較:(i) 形狀參數的適用區域;(ii) 計算時間;(iii) 適合度;以及 (iv) 演算法所需的隨機變數。最後透過這些比較,我們提供兩個方針來選擇最適合的生成 beta 變量之方法。 | zh_TW |
dc.description.abstract | In this paper, we study a stochastic search procedure proposed by Kennedy (1988) that asymptotically generates a beta variate. The goal is to identify the optimal parameter setting so that Kennedy’’s algorithm can achieve the fastest speed of generation. For comparative purposes, we also review some well-known beta algorithms and evaluate their performance in terms of the following
criteria: (i) validity of choice of shape parameters, (ii) computer time, (iii) goodness-of-fit, and (iv) amount of random number generation required. Based on the empirical study, we present two guidelines for choosing the best suited beta algorithm. | en_US |
DC.subject | 適合度 | zh_TW |
DC.subject | 電腦生成 | zh_TW |
DC.subject | 計算時間 | zh_TW |
DC.subject | 形狀參數 | zh_TW |
DC.subject | 演算法 | zh_TW |
DC.subject | 隨機變數 | zh_TW |
DC.subject | beta 變量 | zh_TW |
DC.subject | beta variates | en_US |
DC.subject | random numbers | en_US |
DC.subject | computer generation | en_US |
DC.subject | goodness-of-fit | en_US |
DC.subject | computer time | en_US |
DC.subject | shape parameters | en_US |
DC.subject | algorithm | en_US |
DC.title | 貝他演算法的表現評估 | zh_TW |
dc.language.iso | zh-TW | zh-TW |
DC.title | Performance Evaluation for Beta Algorithms | en_US |
DC.type | 博碩士論文 | zh_TW |
DC.type | thesis | en_US |
DC.publisher | National Central University | en_US |