绝对偏差

用最小绝对偏差方法（LAD）估计极值分布参数的探讨

Regressive parameter-estimating with least absolute deviation in extreme value distribution

所以，评估库存预测的错误性也是很有必要的。其可用标准偏差或平均绝对偏差（MAD）来表示。

Consequently , it is also necessary to estimate the forecast error , which may be represented by the standard deviation or the Mean Absolute Deviation ( MAD ) .

324个实验点浸取率的计算值与测定值平均绝对偏差在0.01-0.028之间，表明模型良好地描述了TPS浸取行为。用浸出模型计算了操作条件对模型参数和浸出率的影响。

The dynamic data of leaching rate calculated by the model was identical with the 324 values determined by experiments .

在MonteCarlo模拟中，两种OddsRatio估计相对的绝对偏差，相对的置信区间长度都显示出了改进OddsRatio估计的优势。

In a Monte Carlo simulations the absolute biases of the two odds ratio estimators and the length of their respective confidence intervals again demonstrate the improvement attained by the proposed approach .

主要利用Rudolf介绍的一种线性跟踪误差&平均绝对偏差，来研究带比例交易费用的指数跟踪重平衡的时机问题。

The rebalance timing of index tracking with proportional transaction costs is studied . We make use of linear tracking error ( MAD ) first introduced by Markus Rudolf .

并在田间与中子仪测定结果进行了对比，结果表明，平均绝对偏差为0.17%，平均相对偏差为8.58%，说明TDR自制探头可以在黄土高原地区推广应用。

The result showed average absolute error is 0.17 % and average relative error is 8.58 % . It is concluded that self-made TDR probe can be used in the other area of Loess Plateau .

SteO2与SaO2比较，相对与绝对偏差分别是1.7%和1.2%。

Results Correlation coefficient was 0.9514 with SteO_2 to SaO_2.Compared with SaO_2 , the relative deviation of SteO_2 was 1.7 % and the absolute deviation of SteO_2 was 1.2 % .

本文对常见的一些方法进行了比较研究，阐述了绝对偏差法和序贯淘汰水平法（SEL）与其它评价方法和优化方法相比的优势所在和不足之处。

The paper compares and studies some common methods , explains what the advantages and shortcoming are in SEL and absolute-bias approach compares with the other estimating method and optimizing method .

临界温度的绝对偏差平均值为5.131K，相对偏差平均值为1.394%。

The average absolute deviation of critical temperature is 5.131K . The average relative deviation is 1.394 % .

我们先采用自权重最小绝对偏差（SLAD）作为惩罚方法中的损失函数，结合自适应Lasso来建模，并证明了由此得到的估计具有模型选择的相合性和渐近正态性。

First we use self-weighted least absolute deviation ( SLAD ) as the loss function , and show that the penalized SLAD identifies the true model consistently and the resulting estimator is asymptotically normal .

基于基金经理投资决策的实际情况，在Clarke等对平均绝对偏差组合优化研究的基础上，给出了4种线性跟踪误差最小化模型，并建立了相应的线性规划模型。

Stemming from the actual situations faced by the fund managers when making investment decisions , this paper sets up four kinds of linear tracking error models based on Clarke 's work on mean absolute deviations , and puts forward the linear program models accordingly .

均值绝对偏差资产组合选择模型的算法

A Computing Method for Solving Mean-absolute Deviation Portfolio Selection Model

最小化加权绝对偏差的并行多机调度问题

Minimizing Weighted Absolute Lateness for Parallel Machine Schedule Problem

偏差分析法中的横道图法简单明了，能够准确表达出费用的绝对偏差。

In warp analysis , horizontal line method is simple and can exactly expression cost difference .

为度量投资组合的风险，将绝对偏差扩展到模糊情形。

In this model we extend absolute deviation to a fuzzy case to measure the risk of portfolio .

限制性卖空的均值-半绝对偏差投资组合模型及其旋转算法研究

Optimization of the Mean Semi-absolute Deviation Portfolio Selection Model with the Restricted Short Selling Based on the Pivoting Algorithm

该算法的预测值与实验数据相比，其平均绝对偏差为14.9%。

The mean absolute deviation of the calculation results by this method from the experiment data was 14.9 % .

而在预测准确度方面，新建模型的预测绝对偏差分别为15%和5%，预测精度较高。

At the aspect of prediction veracity , the absolute predict warp were 15 % and 5 % respectively .

所获得的计算值Y1与实验值比较，平均绝对偏差△均小于0.0039。

Comparing the calculated data with the experimental data of y_1 , the average absolute deviations were less than 0.0039 .

本法的m（o（？）均值绝对偏差资产组合选择模型的算法

The mean and standard deviation of the m_ ( o (?) A Computing Method for Solving Mean - absolute Deviation Portfolio Selection Model

绝对偏差分别是0.81mg/dl、-0.46mg/dl、1.69mg/dl；总不精密度分别是1.724%、0.903%、0.952%。

Bias are 0.81 mg / dl , - 0.46mg / dl , 1.69mg / dl , imprecision are 1.724 % , 0.903 % , 0.952 % .

对多种物质的文献值计算比较，以上方程的总的平均绝对偏差分别为0.43%、0.87%和O.35%。

The calculated values have been checked by recommend data in references , the average absolute deviations are 0.43 % , 0.87 % and 0.35 % respectively .

返回一组数据点到其均值的绝对偏差的平均值。参数可以是数字或名称，数组或包含数字的引用

Returns the average of the absolute deviations of data points from their mean . Arguments can be numbers or names , arrays , or references that contain numbers

利用神经网络的自适应学习特性和在处理非线性问题时能够满足最小绝对偏差准则的性质，给出了该算法的神经网络实现方法。

The adaptive learning of neural network can fulfill the minimum absolute deviation criteria , so this dissertation puts forward the algorithm that can be implemented by the neural network .

方法标准偏差小于2%，与柱色谱法所得结果之间的绝对偏差小于3%，具有良好的精密度和准确度。

The method shows good accuracy and precision as the standardized error is less than 2 % , while the absolute error to the column chromatograph result is less than 3 % .

实验表明，这种方法的优点是低内存需求，具有较小的平均绝对偏差值，并且显示出了比传统推荐算法更好的推荐质量。

Experimental results show that this method is of low memory requirements and lower mean absolute error ( MAE ) value , and provides better recommendation quality compared with traditional collaborative filtering algorithms .

结果表明：对低压极性体系，汽相组成的绝对偏差和常用的活度系数模型相当，而压力的绝对偏差则略好于上述模型。

When applied to low-pressure polar systems , the new model had the same accuracy for the vapor composition and better result for the bubble point pressure as compared with the common activity-coefficient models .

经检验，该通用方程的计算值与25种常用流体工质的推荐值的平均绝对偏差为0.5%，算术平均偏差为－0.04%。

This equation was checked against by standard data of 25 working fluids : the equation agrees with the available data with average deviation of - 0.04 % and average absolute deviation of 0.5 % .

航道交通流分析中统计时间单位的选定当我们计算极差，四分点离差和平均绝对偏差时，答案的计量单位与数据单位量相同的。

Measurement for Inland Waterway Traffic Analysis Earlier , when we calculated the range , the interquartile deviation , and average absolute deviation , the answers were expressed in the same units as the data itself .

采用非线性回归拟合两个干形方程中的参数，将预测平均偏差、预测均方误差、绝对偏差、决定系数等作为评判的准则。

Nonlinear least squares regression is used when estimated parameters of both functions . The mean error , mean square error and mean absolute different of prediction , as well as determination coefficient are chosen as the criteria for evaluation .