Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/87365| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 宋傳欽 | zh_TW |
| dc.contributor.advisor | Sung, Chuan-Chin | en_US |
| dc.contributor.author | 洪榮耀 | zh_TW |
| dc.contributor.author | Hung, rung yau | en_US |
| dc.creator | 洪榮耀 | zh_TW |
| dc.creator | Hung, rung yau | en_US |
| dc.date | 1996 | en_US |
| dc.date.accessioned | 2016-04-28T05:29:52Z | - |
| dc.date.available | 2016-04-28T05:29:52Z | - |
| dc.date.issued | 2016-04-28T05:29:52Z | - |
| dc.identifier | B2002002887 | en_US |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/87365 | - |
| dc.description | 碩士 | zh_TW |
| dc.description | 國立政治大學 | zh_TW |
| dc.description | 應用數學系 | zh_TW |
| dc.description | 83751001 | zh_TW |
| dc.description.abstract | 本文首先將推導最適肥料量問題在二次模型參數受限條件時的參數估計及最適肥料量估計的演算法.其次,在一般線性模型下,我們將討論最適謀略估計,參數估計和最佳目標函數估計的評估準則,並且探討如何偵測出對最適謀略估計,參數估計以及最佳目標函數估計有影響力的資料點.同時,我們也將在二次模型下再次考慮前述的問題.最後,我們將引用\"北卡羅來納州試驗資料 \",作實例分析,加以說明. | zh_TW |
| dc.description.tableofcontents | 第一章緒論..........3\r\n1.1前言..........3\r\n1.2本文結構..........4\r\n第二章文獻回顧..........5\r\n2.1基本假設和模型的建立..........5\r\n2.2目標函數的信賴區間..........7\r\n2.3應否使用肥料的評估..........9\r\n2.4參數估計對目標函數的影響..........10\r\n第三章在參數受限條件下，二次模型之參數估計及最適肥料量估計的演算法..........13\r\n3.1前言..........13\r\n3.2參數受限條件下，二次模型的參數估計值和最適肥料量估計值演算法的推導..........13\r\n第四章最適肥料量問題的進一步探討..........16\r\n4.1前言..........16\r\n4.2一般線性模型下，參數估計效力的評估..........16\r\n4.3一般線性模型下，最佳目標函數估計值效力的評估..........18\r\n4.4二次模型下，最適肥料量估計、參數估計及最佳收益函數估計效力的評估..........19\r\n第五章觀測值對最適肥料量問題影響之診斷..........21\r\n5.1前言..........21\r\n5.2一般線性模型下，觀測值對最適謀略估計、參數估計以及最佳目標函數值估計之影響的診斷..........21\r\n5.3二次模型下，觀測值對最適肥料量估計、參數估計以及最佳收益估計影響的診斷..........24\r\n5.4一般線性模型下，觀測值對參數比估計影響之診斷..........25\r\n5.5二次模式下，觀測值對最適肥料量估計及及最佳收益估計影響的診斷..........30\r\n第六章實例分析..........34\r\n6.1資料描述..........34\r\n6.2資料分析..........35\r\n附錄..........42\r\n附圖..........54\r\nB.1：首次參數估計值落於區域(2)時，逐次參數修正演算法之流程圖..........55\r\nB.2：首次參數估計值落於區域(3)時，逐次參數修正演算法之流程圖..........56\r\nB.3：首次參數估計值落於區域(4)時，逐次參數修正演算法之流程圖..........57\r\nB.4：首次參數估計值分別落於區域(5)、(6)、(7)時，逐次參數修正演算法之流程圖..........58\r\nB.5：首次參數估計值分別落於區域(8)、(9)、(10)、(11) ，逐次參數修正演算法之流程圖..........59\r\n參考文獻..........60 | zh_TW |
| dc.source.uri | http://thesis.lib.nccu.edu.tw/record/#B2002002887 | en_US |
| dc.subject | 最適肥料量 | zh_TW |
| dc.subject | 參數受限條件 | zh_TW |
| dc.title | 參數估計在最適肥料量問題上的效應 | zh_TW |
| dc.title | Effect of Parameter Estimation on Fertilizer Optimization | en_US |
| dc.type | thesis | en_US |
| dc.relation.reference | [1 ]Anderson, R. L. and Nelson, 1. A. (1975) A family of models involving intersecting straight lines and concomitant\r\nexperimental designs useful in evaluating response to fertilizer nutrients. Biometrics, 31, 303-318.\r\n[2]Cerrato, M. E. and Blackmer, A. M. (1990) Comparison of\r\nmodels for describing comyield response to nitrogen\r\nfertilization. Agron. J, 82, 138-143.\r\n[3]Dent, J. B. and Blackie, M. J. (1979) Systems Simulation In Agriculture. London: Applied Science.\r\n[4]France, J. and Thomley, J. H. M. (1984) Mathematical Models in Agriculture, pp. 144-150. London: Butterworth.\r\n[5]Heady, E. O. and Dillon, J .L. (1961) Agricultural Production Functions. Ames: Iowa state University press.\r\n[6]Paris, Q. (1992) The return of von Liebig`s \"law of the\r\nminimun\". Agron. J., 84, 1040-1046.\r\n[7]Wallach, D. and Loisel, P. (1994) Effect of Parameter\r\nEstimation on Fertilizer Optimization.Appl. Statist. , 43, No.4, pp. 641-651. | zh_TW |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | open | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | thesis | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
| Appears in Collections: | 學位論文 | |
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| index.html | 115 B | HTML2 | View/Open |
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