中英
1
approximating normal distribution中文是什么意思
- 中文翻譯
- 造句
- 近似正態(tài)分布
- approximate vt. 1.使接近。 2.接近；走近。 3.近似，約計(jì)。 ...
- normal distribution 【統(tǒng)計(jì)學(xué)】正態(tài)分布。
- approximately normal distribution 近似正態(tài)分布
- asymptotically normal distribution 漸近正態(tài)分布
- bivariate normal distribution 二元正態(tài)布; 二元正態(tài)分布; 雙變量正態(tài)分布; 雙變數(shù)正態(tài)分布
- bivariate normal target distribution 二維規(guī)范目標(biāo)分布
- circular normal distribution 圓的正態(tài)分布; 圓正態(tài)分布; 正態(tài)分布圓
- compound normal distribution 復(fù)合正態(tài)分布
- contaminated normal distribution 污染正態(tài)分布
- cumulative normal distribution 累積正態(tài)分布
- curve of normal distribution 常態(tài)分布曲線; 常態(tài)分配曲線
- degenerate normal distribution 退化正態(tài)分布
- discrete logarithm normal distribution 離散對(duì)數(shù)正態(tài)分布
- discrete normal distribution 離散正態(tài)分布
- distribution of normal modes 簡正方式分布
- distribution of normal vibration 簡正振動(dòng)分布
- hyper normal distribution 超正態(tài)分布
- law of normal distribution 正規(guī)分布定律
- log normal distribution 對(duì)數(shù)常態(tài)分布; 對(duì)數(shù)正態(tài)分布; 結(jié)數(shù)正態(tài)分布
- logarithmic normal distribution 對(duì)數(shù)常態(tài)分配; 對(duì)數(shù)正態(tài)分布
- logarithmically normal distribution 常態(tài)對(duì)數(shù)分配
- matrix normal distribution 矩常分配; 矩陣常態(tài)分配
- mixed normal distribution 混合正態(tài)分布
- modified normal distribution 修正的正態(tài)分布
- monistic normal distribution 一元正態(tài)分布
- In first chapter , we define the first stage estimators for 0 and g by using kernel weight function , least square and two stage estimation under the additivity of the model , and then the paper proves that is the consistency and the approximate normal distribution , and is the consistency and the uniform consistency
第一章首先綜合核函數(shù)法，最小二乘法，基于模型的可加性，利用二階段估計(jì)的方法求出， g的第一階段估計(jì)量，然后證明了的強(qiáng)相合性與漸近正態(tài)性， g _ n ~ *的強(qiáng)相合性和一致強(qiáng)相合性。 - In second chapter , we obtain the second stage estimators for 0 and g with the first stage estimators by using generated least square th at is used in ev model . the second stage estimators are better than the first stage ones concerning variance , and meantime the paper proves that is the consistencey and the approximate normal distribution and gn is the consistency and the uniform consistency
第二章首先在第一階段估計(jì)的基礎(chǔ)上，針對(duì)ev模型利用廣義最小二乘法求出， g的第二階段估計(jì)，這樣從誤差方差的角度來考慮，第二階段估計(jì)結(jié)果比第一階段估計(jì)結(jié)果改進(jìn)了一步。
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