biased estimator 中文意思是什麼
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In order to get this, some useful explorations on how to analysis and solve the problem of the ill - conditioning have been made and several biased estimators have been put forward. in fact, analyzing the essence, overcoming the effect of ill - conditioning and obtaining more accurate and stable parameters estimator is an new task in gps surveying data processing, which have been determined as an important studying field in contemporary surveying error theory and engineering data processing by the international association of geodesy ( iag )
事實上，分析測量平差系統病態性的實質、克服或減弱測量平差系統病態性的影響、採用有偏估計等方法提高參數估計和平差成果的精度，是當前gps等重大測量工程數據處理中所面臨的一個重要課題，它已被國際大地測量協會（ iag ）確立為現代測量誤差理論及數據處理研究中的一項重要內容。 -
A new biased estimator so - called ridge type - generalized inverse ( rg1 ) estimator is constructed after summing - up the historical and present condition of biased estimation theory in surveying data processing. the prosperities of rg1 estimator are studied especially by pitman ' s criteria. the other biased estimator so - called partial root root ( prr ) estimator is generated
通過對有偏估計理論在測量數據處理中的應用歷史和現狀進行總結和分析，構造了未知參數的一種新的有偏估計方法? ?嶺型廣義逆估計，對其性質特別是在pitman準則下的若干性質進行了討論；接下來構造了另一種新的有偏估計方法? ?部分根方估計，該估計的最大特點在於它是一種部分壓縮估計。 -
In order to reduce the deficiencies of ridge estimator, stein shrunken estimator and principal component estimator, two new biased estimators, so - called combining ridge and shrunken estimator, and, combining ridge and principal component estimator, are constructed respectively. their good properties in the mean squared error and the numerical value stability are investigated, the determination of biased parameter of the estimators are discussed, and some important conclusions are obtained, respectively. theory analysis and the computational results demonstrate that the two estimators potential estimator in surveying adjustment
本文針對嶺估計、 stein均勻壓縮估計和主成分估計存在的缺陷，構造了兩種新的有偏估計：嶺?壓縮組合估計和嶺?主成分組合估計，討論了兩種新估計在均方誤差意義下和數值穩定性方面的優良性質，討論了有偏估計中偏參數的選取問題，通過理論分析和算例分析說明這是兩種很有潛力的有偏估計。 -
The comparisons between the two most important biased estimators, ordinary ridge estimator and principal components estimator, and ls estimator are conducted by using the criterion of mean squared error ; and the conditions to show the superiority of each of these two estimators over the ls estimator have been obtained. then, the tests have been suggested to verify whether or not these conditions hold in given situations by using the statistical method
在均方誤差準則下對目前應用最廣泛的兩種有偏估計? ?嶺估計和主成分估計與ls估計進行了比較研究，得到了嶺估計、主成分估計優于ls估計的條件；然後運用統計方法對這些條件的成立進行了檢驗，從假設檢驗的角度解決了有偏估計與ls估計之間的選擇問題。 -
Is it possible for an estimator to be biased in finite sample but consistent in large sample
一個估計量是否有可能在有限樣本中是有偏的但又具有一致性？
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