博碩士論文 952205002 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator林宜德zh_TW
DC.creatorYi-Te Linen_US
dc.date.accessioned2008-6-12T07:39:07Z
dc.date.available2008-6-12T07:39:07Z
dc.date.issued2008
dc.identifier.urihttp://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.descriptionNational Central Universityen_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.abstractIn 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.subjectbeta 變量zh_TW
DC.subjectbeta variatesen_US
DC.subjectrandom numbersen_US
DC.subjectcomputer generationen_US
DC.subjectgoodness-of-fiten_US
DC.subjectcomputer timeen_US
DC.subjectshape parametersen_US
DC.subjectalgorithmen_US
DC.title貝他演算法的表現評估zh_TW
dc.language.isozh-TWzh-TW
DC.titlePerformance Evaluation for Beta Algorithmsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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