由于数据集不是对称的，我们可以清楚地排除正态分布模型不是一个合适的选择。
As the dataset is not in a symmetrical shape, we can clearly rule out that a normal distribution model would not be a suitable choice.
革螨种多度分布用对数正态分布模型拟合。
A lognormal distribution model was used to fit the mite species abundance.
结果表明，种多度关系符合对数正态分布模型。
The results show that the curve of the moth species-abundance was in accordance with the log-normal hypothesis.
同时从统计分析中可知，对数正态分布模型更适合于弯沉指标。
In the statistical analyses, the result shows that the lognormal distribution model is more suitable for the index of deflection.
由于混合正态分布模型是非正则的，它的参数估计及其检验都存在很多困难。
Since mixture normal distribution is the non-mixed , the estimation and test have many difficulties .
并提出了洪水洪量的对数正态分布模型来表征年最大洪量分布中历时的尺度影响。
And a scaling lognormal model of flood volume is introduced to represent the affection of temporal scale of duration in annual maximum flood volume distributions.
通过对生成结果的分析比较，初步论证了文中所推导的显式三参数对数正态分布模型的有效性。
By analyzing and comparing the calculated results, the effectiveness about the model of the 3-parameter lognormal distribution is demonstrated.
用震级上限的单边正态分布模型代替固定的震级上限模型，分析了这种改进对地震危险性分析结果的影响及其工程意义。
We use unilateral normal distribution of upper magnitude limit instead of fixed one and analyze the results of seismic hazard analysis of this change and engineer meaning of it.
由于威布尔分布或对数正态分布常用来分析寿命分布问题，故优先考虑这两种模型。
Weibull distribution or lognormal distribution is often used to analyze lifetime problem, so the two models are preferentially considered in tis paper.
我们研究股票市场价格时，通常认为股票价格模型服从布朗运动，即对数收益率是正态分布的。
When we study stock market, we usually think that the model of stock price obeys Brownian movement, which log-return characterize normal distribution.
大多数的会计统计模型是以财务比率的正态分布为假设前提。
The most of accounting empirical statistical models is based on normal distribution assumption of financial ratios.
双正态模型假定正常组与异常组均服从正态分布。
Binormal models are assumed that normal or abnormal group is normal distribution respectively.
在传统的金融风险度量模型中，基本都是基于正态分布，然后运用方差一协方差法来求解资产组合的风险价值。
In the traditional financial risk measurement model, the basic method is based on normal distribution, and then the variance-covariance method used to solve the portfolio value at risk.
这样，知道模型的渗透率对数正态分布概率50%处渗透率和变异系数，就可以建立起确切的渗透率平面模型。
Thus, when the permeability of 50% probability and the coefficient of variation for lognormal distribution are known, one can establish a definite numerical model of permeability plane distribution.
基于正态分布和向量范数理论的方法，提出用于判断货币识别传感器的有效性和精确性分析方法，并建立了货币识别的性质模型。
Based on the theories of normal distribution and vector norm, a novel method for evaluating the effectiveness and precision of the sensor used in currency recognition is proposed.
针对正态分布的风险值及停止损失保费问题，并给出了一般情形下封闭式集合风险模型的风险值及停止损失保费的计算方法。
Aiming at the risk value of normal distribution and the formula of stop-loss premiums, analytical expressions for risk value and stop-loss premiums of sums of independent random variables are given.
实证分析结果表明：其一，我国上市公司财务比率不服从正态分布，因而不适宜使用多元线性判别分析方法建立财务危机预测模型；
The results are as the following: firstly, financial ratios aren't identical to the normal distribution, so it's not suitable to conduct the early-warning model by Linear Multiple Discrimant Analysis.
该模型以发电厂商的期望收益最大为目标，采用零和二人混合对策描述竞价问题，并假设市场电价符合正态分布。
The aim of the model is maximizing its expected income. It describes the bidding problem with zero-sum and two-person mixed strategy and proposes the market price according to normal distribution.
线性回归模型的误差项不服从正态分布或存在多个离群点时，可以将残差秩次的某些函数作为权重引入估计模型来减少离群点的不良影响。
When multiple outliers occur in linear regression model or the distribution of residuals is not normal, we can use residuals rank as weight function to get some resist estimator.
近几年研究发现，互联网运作的数学模型，由原先正态分布的随机模型转变为幂次分布的无尺度模型。
Recent years' research discovered that Internet has developed to be a power distribution scale - free model from original normal distribution random model.
客流模拟模型以对数正态分布为基础，根据列车旅客发送量来模拟旅客到达车站的时间分布。
Based on the logarithm normal school and the Numbers of passengers carried by train, the passenger flow simulation model simulates the distribution of the passengers' arrival time.
结论：对于问卷项目的应答为连续性正态分布的数据，在拟合重复调查的情形下，可以采用两水平方差成份模型评价问卷项目应答的信度。
Conclusion:In the condition of unrepeated measurement, the variability between interviewers can be estimated by fitting two level variance component model for normally distributed data.
产量保险模型，并借助多元正态分布函数得到其显示表达式。
Moreover, this paper get the expression by multivariable normal distribution.
在因子范围服从对数正态分布下，应用线性回归技术和极大似然法建立了模型参数的测定方法。
Parameters of the model are measured by a linear regression technique and a maximum likelihood method.
引用无穷小概念，结合0 - 1律讨论了该模型的分布收敛于退化正态分布的条件。
The condition of this model converge to degenerate normal distribution is discussed by citing the idea of infinitesimal, combining with the law of 0-1.
分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度，对参数估计误差服从渐近正态分布的一些条件进行了讨论。
The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.
该模型采用ARMA模型描述实测流量的先验分布，采用AR模型模拟预报残差的似然函数，并假定先验分布和似然函数均服从正态分布。
The ARMA model was used to describe the prior distribution of observed discharge and the ar model was adopted to simulate the likelihood function of forecasting error.
其次，在误差服从正态分布的条件下，阐述了线性回归模型框架中均值漂移模型与异常点检验的等价性。
Secondly, we show the equivalence theorems between mean shift model and outlier detection model based on the condition that errors in regression model are normally distributed.
实证分析结果表明：EGARCH模型比较适合对我国股票市场波动性作长期预测，若假设收益序列服从t分布，由此改进的EGARCH-T模型会得到比正态分布下更好的拟合与预测效果。
The results show that EGARCH is the best model for forecasting long-term volatility. Furthermore, using EGARCH with the Student t-distribution gives better results than with a normal distribution.
实证分析结果表明：EGARCH模型比较适合对我国股票市场波动性作长期预测，若假设收益序列服从t分布，由此改进的EGARCH-T模型会得到比正态分布下更好的拟合与预测效果。
The results show that EGARCH is the best model for forecasting long-term volatility. Furthermore, using EGARCH with the Student t-distribution gives better results than with a normal distribution.
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