non-probability sample 中文意思是什麼

non-probability sample 解釋
非概率抽樣
  • non : adv 〈拉丁語〉非，不是 （＝not）。 non assumpsit 【法律】被告否認契約的答辯。 non compos mentis ...
  • probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
  • sample : n 1 樣品，貨樣。2 標本；榜樣，實例。3 【統計】典型取樣，抽檢查。4 【電訊】信號瞬時值。5 【冶金】 ...
  1. Comparing with non - bnyain methods, it ' s prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare

    與非貝葉揚方法相比，貝葉斯方法的特出特點是其學習機制可以綜合先驗信息和后驗信息，既可避免只使用先驗信息可能帶來的主觀偏見，和缺乏樣本信息時的大量盲目搜索與計算，也可避免只使用樣本信息帶來的噪音的影響只要合理地確定先驗，就可以進行有效的學習。因此，適用於具有概率統計特徵的數據採掘和機器學習（或發現）問題，尤其是樣本難得的問題
  2. Because of decrement in pesticide use, from 1999 - 2001, the poisoning probability caused by pesticides use for farmers who plant bt cottonseeds is respectively 17 %, 22 % and 4 % lower than those who plant non - bt cottonseeds, with an average number of 11 % in this three years. meanwhile, bt cotton planting farmers in yellow river watershed and changjiang river shed saved 48. 4 yuan and 107. 8 yuan per time in pesticide and wage losing cost, with the average of 68 in sample areas

    中岡農業和學院博卜學泣論文中英義摘芙山于農戶大幅度減少了衣藥投入， 1999 2001年調查的種植bt抗蟲棉的農戶發生農藥中毒的概率分別要比種植非bt棉的農戶低17見2肌和4 「三年總平均要低11以同時按照樣本所在棉區計算的bt棉種植農戶相應節約的農藥和誤工費用分別為黃河流域棉區48
  3. Kde is a non - parametric method which is capable of extracting the population ' s probability density function ( pdf ) based on data sample only without any a prior knowledge about the statistic properties of the data regime. in this thesis, it is conducted the implementation of the kde for monitoring the performance of batch production processes

    用核函數法概率密度估計對間歇生產過程進行實時狀態監測的主要優點是它屬于非參數法概率密度估計的一種，不需要數據總體的任何先驗知識或是假設而直接基於實測數據樣本求出總體的概率分佈密度函數，擺脫了對不可靠的先驗知識的依賴。
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