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    Showing items 551-575 of 655. (27 Page(s) Totally)
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    DateTitleAuthors
    1999-09 多重插補在民意調查中之應用及抽樣誤差之估計 李泰明; 鄭宇庭; 謝邦昌; Lee, Tai-Ming; Cheng, Yu-Ting; Shia, Ben-Chang
    1999-09 Correcting bias due to misclassification in the estimation of logistic regression models Hsueh,Huey-Miin; Cheng, K. F.; 薛慧敏
    1999-06 從美國經驗探討抽樣在普查之新角色 余清祥; 胡玉蕙
    1999-04 貝氏多階段比例推估在民意調查中預測得票率之應用--以1998年臺北市市長選舉為例 謝邦昌; 梁德馨; 楊雅惠; 鄭宇庭
    1999-04 Testing the Nonrandomness of Choromosomal Breakpoints Using Highest Observed Breakages 侯家鼎; 江振東; 戴政; Hou, Chia-Ding; Chiang, Jengtung; John Jen Tai
    1999-03 田口參數設計的應用--紙飛機實驗 楊素芬; 廖郁婷; 張淑惠; 李玉玲; 戴瑞偁
    1999-03 臺灣地區死亡率現況的實證研究 余清祥; 連宏銘
    1999-03 Bayesian sequential tests for comparing the number of Species in Two Populations : A Simulation Study 余清祥; Clayton M
    1999 Comparing the number of species in two populations: group sampling case Yue, Jack C.; Clayton M; 余清祥
    1999 Monte Carlo Minimization for one step ahead sequential control Chen,Li-Shya; Seymour Geisser; Charles J. Geyer
    1999 Economic control of two-grade products Yang, S; LiuT; 楊素芬
    1998-12 模糊迴歸參數估計及在景氣對策信號之分析應用 吳柏林; 曾能芳; Wu, Berlin; Cheng, Nen-Fon
    1998-12 Optimal process control for multiple dependent subprocesses 楊素芬
    1998-10 臺灣地區國民醫療保健調查抽樣方法之探討 謝邦昌; 梁德馨; 鄭宇庭; 謝鑫能
    1998-08 臺灣對日輸出烏龍茶之時間數列預測模式 蘇志雄; 陳國任; 鄭宇庭; 江志民; 謝邦昌
    1998-06 組可分處理設計當觀測值漏失時之穩健性之探討 丁兆平; Ting, Chao-ping
    1998-06 組可分處理設計當觀測值漏失時之穩健性之探討 丁兆平
    1998-03 婚姻能延長壽命嗎﹖--臺灣與美國的實證資料研究 余清祥
    1998 Economic statistical design of S control charts using Taguchi loss function 楊素芬
    1998 Goodness of fit tests with misclassified data Hsueh,Huey-Miin; Cheng, K. F.; Chieh, T. H.; 薛慧敏
    1997-10 婚姻與死亡率--臺灣與美國的實證研究 余清祥
    1997-10 On the Assessment of Similarity of Drug Dissolution Profiles—A Simulation Study Ju, Huey Lin
    1997-09 生產線上製程管制政策--應用更新方程式理論 蘇聖珠; 楊素芬
    1997-06 改善阻抗值與通電性之個案研究 楊素芬; 張文哲; 賴佳琳; 洪榮耀
    1997-06 The development and application of X and R control charts for small production runs 楊素芬

    Showing items 551-575 of 655. (27 Page(s) Totally)
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