抽樣不足的 的英文怎麼說

中文拼音 [chōuyàngbùzúde]
抽樣不足的 英文
undersampled
  • 抽 : 動詞1 （把夾在中間的東西拉出; 提取） take out （from in between） 2 （從全部里取出一部分; 騰出） ...
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 不 : 名詞[書面語] （剁物所用的木墩） a block of wood
  • 足 : Ⅰ名詞1 （腳; 腿） foot; leg 2 （姓氏） a surname Ⅱ形容詞（充足; 足夠） sufficient; ample; enough;...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 抽樣 : [統計] sample; sampling; specimen; samples draw
  1. Inaccuracies in survey data attributable to “ the luck of the draw " in creating a probability sample

    在產生概率抽樣時由於抽樣不足而造成的數據偏差
  2. This system is set up on the existing search engine foundations through web services " technology, has solved variety and non - structural web data with xml technology, has formed web multi - level data base, and constructed the system structure in high performance of data warehouse, utilized midas technology to form the high - performance index storehouse structure, has remedied the deficiency of search engines at coverage, accuracy etc, and improved efficiency of information retrieval

    該系統通過webservices技術，建立在現有搜索引擎基礎之上，以xml技術解決了多樣性和非結構性的web數據轉換，形成了web多層次數據庫，利用了web挖掘面向結構化或半結構化數據的智能化數據抽取和知識發現過程，並且構造了數據倉庫的高性能查詢體系結構? hpqs ，利用midas技術形成了高性能索引庫結構，彌補了當前搜索引擎在覆蓋范圍、準確率、復雜查詢語言的使用和結果表現方式等方面的不足，改善了信息檢索的效率。
  3. It process documents not only based on latent semantic analysis, but also based on text multilevel dependency structure. the method first analysis the latent semantic structure of texts, make single value decomposition on text - matrix, reconstruct the semantic matrix ; then a method based on text multilevel dependency structure is adopted, deeply analysis the content of the semantic matrix, abstract the important sentences to generate abstraction and make up the shortage of latent semantic analysis on structure and syntax

    首先通過對文本進行潛在語義分析，對文本矩陣進行相應的奇異值分解，重構語義矩陣;然後採用基於篇章多級依存結構的文摘分析方法，對重構的語義矩陣表示的文本內容進行深入的分析，抽取重要的句子生成文摘，這樣就彌補了潛在語義分析在詞法和句法分析上的不足;同時過濾和去除了語義噪音，縮小了問題的規模。
  4. In chapter 4, we further our research in resampling method, introduces the definition of resampling efficiency and resample efficient region proposed by michaud ( 1998 ). we make an improvement on michaud ’ s method of constructing the resampled efficient region

    針對michaud （ 1998 ）構造再抽樣有效置信區域方法的不足，提出了一種改進方法，使得構造的置信區域更加準確，並有助於指導實踐中的投資組合權重分析。
  5. Based on brorrowing home - abroad current situation and their experiences of finance in sme, it has deeply investigated and studied the current financial situation of sme with many survey methods, such as governmental information reaction, experts " consultation, forums investigation and questionnaire methods etc, and concludes the current situation, main characteristics and facing challenges of heilongjiang province etc. it clearly points out the main problems that have existed in the whole province for a long time. i. e. singularity of financial means, not smoothing of financial channel, lack of small - medium sized financial setup and environmental difficulty of social credit

    該項調查在借鑒國內外中小企業融資現狀和經驗的基礎上，採用政府信息反饋、專家咨詢、抽樣調查、典型調查、座談調查、問卷調查等多種調查方法，對黑龍江省中小企業融資現狀進行了深入的調查與研究，總結出了黑龍江省中小企業融資現狀、主要特點、面臨的形勢；明確指出存在的主要問題，即融資手段單一，融資渠道不暢，中小金融機構不足，社會信用環境差；得出了黑龍江省中小企業融資難的結論。
  6. The method for retaining sampled units in successive sampling survey for changed probability of selection is introduced. for pps sampling design, a model - design unbiased predictor for the total of a variable for the target population is proposed, and the optimum matching ratio for the predictor under the assumption of unchanged population is calculated. for rhc sampling design, the equation that the optimum matching ration satisfies is given

    介紹了連續抽樣中概率發生變化時保留樣本的方法。對于有放回的pps抽樣，在假設的超總體模型之下提出了總體變量總值的模型設計無偏預報量，並計算了總體不變時保留樣本的最優匹配比。對于無放回的rhc抽樣，給出了最優匹配比滿足的方程。
  7. In order to make up the capm model, a test of the conditional capm using the garch - m framework is conducted and existing research is extended by investigating the effect of intervals by conducting tests over different sampling frequencies. not only the garch - m model but also the conditional capm are supported for daily and weekly return intervals while greater support for the model is found in the daily return intervals

    針對capm模型的不足之處，進一步應用garch - m框架下的ccapm模型進行實證研究，並通過日收益率和周收益率數據研究不同的抽樣區間對模型驗證的影響，得出滬市日收益率數據和周收益率數據都支持garch - m模型和ccapm模型，尤以日收益率數據顯著支持的結論。
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