查询词典 logistic

The paper consists of three parts. First, we give the calculation for every order central moment for the Logistic population, mean vector and covariance matrix of the order statistic of random sample from the Logistic population, and means of several special functions for the order statistic of random sample from the Logistic population. Secondly, we discuss the parameter estimation for the Logistic population. Finally, we solve the question about the goodness-of -fit test for the Logistic population.

研究的主要内容分三部分：第一部分是关于Logistic总体各阶中心矩、样本次序统计量期望向量与协方差阵及若干个特殊的样本次序统计量函数期望的计算问题；第二部分是关于Logistic总体分布参数的估计问题；第三部分是关于Logistic总体的拟合优度检验问题。

Three common mathematic models are always employed to predict the growth of regional or urban population,including exponential function,inverse hyperbolic function,and logistic function.

预测人口增长的数学模型通常采用3种函数，即指数函数、Logistic函数和双曲函数。3种模型的数学根源都在于二阶Bernoulli式微分方程，它们是不同的生长条件下的Logistic方程的特解。

This paper proposes the logistic default probability measure model which is based on the factor analysis , in the light of the problem of missing original data 、multicollinearity and without time consideration in the general Logistic probability of default model.

本文针对一般Logistic 违约率模型中原始数据信息的丢失、多重共线性以及没有考虑时间因素等问题，提出了基于因子分析的logistic违约概率测算模型。

The results indicated:（1）the combination of the Markov and spatial logistic models can improve the predictability of each model individually. In macroscopic scale, the total land use amount can be predicted via Markov chain; in microscopic scale, the multi-class multinomial logistic model can be used to implement the combined calculations of categorical variable and continuous variable, qualitative variable and quantitative variable to improve the precision of spatial regression. Meanwhile, the transition probability of each land use unit will be confirmed and the prediction of land use spatial distribution will also be completed.（2）the application system developed in accordance with the integrated model can effectively simulate and predict the land use evolution in Shenzhen City, and the prediction precision of verification system will suffice for recent land use monitoring and the making of annual land supply planning.

研究结果：（1）空间Logistic和Markov模型集成可提升单一模型的应用能力，宏观上利用Markov Chain进行土地利用规模总量预测，微观上利用多分类Multinomial Logistic模型解决分类变量与连续变量，定性变量和定量变量的联合解算提高空间回归精度，同时可以确定每一个土地利用单元转移概率，实现土地利用空间分布的预测；（2）基于集成模型开发出的应用系统能够有效仿真和预测深圳市土地利用演化，通过验证系统预测精度能够满足近期土地利用预警和年度土地供应计划编制。

objective to explore environment risk factors of metabolic syndrome.methods a cross-sectional population survey with questionnaires investigation,checkup and laboratory measurement for metabolic syndrome was performed among 2026 teachers,and the logistic regression was used to analyze the risk factors of ms.results the education,milk intakes,fish and aquatic products intakes,body exercise and drinking tea were different significantly between male and female individuals.univariate unconditional logistic regression analysis showed that education,body exercises,fish and aquatic products intakes and drinking tea were benefited to the ms,but the age,sucrose intakes were the risk factors to the ms.the multivariate logistic stepwise regression analysis showed that compared with individuals with no drinking milk,or no fish and aquatic product intake,or no drinking tea,or no sucrose intakes,the milk intakes 250-1500 g/week(or=0.731,95%ci:0.542-0.987),the fish and aquatic product intake with 250-1000 g/week(or=0.720,95%ci: 0.541-0.959),or sucrose intakes 250 g/month(or=0.446,95%ci:0.255-0.779),drinking tea forepassed(or=0.635,95%ci:0.458-0.883),and current (or=2.084,95%ci:1.390-3.125) had different levels of risk on ms.conclusion the age and sucrose intakes are risk factors,and the milk intakes,aquatic products and drinking tea benefits for ms.

目的 了解中小学教师代谢综合征发病及其影响因素。方法采用横断面调查方法，随机抽取芜湖市中小学教师2 026名，进行问卷调查、体格检查和实验室检测，并运用logistic回归分析代谢综合征影响因素。结果不同性别的中小学教师在受教育程度、牛奶摄入、水产品摄入和饮茶习惯等方面的差异有统计学意义；其中受教育程度、体育锻炼、水产品摄入和饮茶是保护因素，而年龄、工作紧张程度、糖的摄入可能是代谢综合征的危险因素。logistic逐步回归分析结果提示，牛奶摄入、水产品摄入和饮茶是代谢综合征的保护因素，而年龄和糖摄入是代谢综合征的危险因素，其中牛奶摄入在250～1500 g/周(or=0.731，95% ci=0.542～0.987)，水产品摄入在250～1000 g/周(or=0.720，95% ci=0.541～0.959)以及以前饮茶（or=0.446，95% ci=0.255～0.779和现在正在饮茶(or=0.635，95% ci=0.458～0.883)，对代谢综合征的保护作用明显，而糖摄入250 g/月时代谢综合征的患病的危险是不食用食糖的2倍(or=2.084，95% ci=1.390～3.125)。结论年龄和糖摄入是代谢综合征患病的危险因素，而牛奶、水产品和饮茶是代谢综合征的保护因素。

The methods of rank sum test, chi-square test, Spearman rank correlation, unconditional logistic regression and polytomous ordinal logistic regression were used to analyze the relation between patients finding and the influencing factors.

用秩和检验、X~2检验、Spearman等级相关、二分类logistic回归和多分类有序logistic回归等统计分析方法探讨各行政村肺结核病人筛查结果与各影响因素的关系并对筛查效果作初步评价。

Results Singlefactor logistic regression analyses showed that there were very significant differences in 11 factors between the 2 groups（all P＜0.01）;multiplefactor conditional logistic regression analyses in the 11 factors showed that the main risk factors of psychoactive drug abuse in middle school students were parents' drug abuse,poor performance record,absent from class,violence,selfconscious loneliness and unharmony family relation,the main protective factor was more exchanges between parents and children.

结果 两组自拟问卷单因素Logistic回归分析发现，11个因素有极显著性差异（P均＜0.01）；将11个有显著意义的因素进行多因素条件Logistic回归分析，结果发现影响中学生精神活性药物滥用行为的主要危险因素为父母有药物滥用、学习成绩差、缺课、暴力行为、自觉孤独、家庭关系不和睦，而多与父母交流则为主要保护因素。

Results: SVM gets better results in the sensitivity,specificity,Youden's index and error count estimate than the Logistic.Conclusion: SVM is worth while to be generalized to the prognosis of the disease.

实际工作中，临床医生们经常使用非条件的Logistic回归来对疾病的预后影响因素进行分析，这是因为Logistic回归模型作为一种概率模型，可用于预测某事件发生的概率，而且Logistic回归不要求在因变量服从正态分布的前提下进行预测。

First make the subjects give either right or wrong responses to the same question with different b value. When estimating the abilities of the subjects with the use of one-parameter or two-parameter Logistic model, it is found that there exists two kinds of unfits.(2) Estimate the abilities of the subjects after introducing c parameter on the basis of the two-parameter model. The first unfit can be rectified. However, the second unfit still exists and the third unfit appears.(3) Then estimate again after introducing y parameter. It is discovered that the second unfit is rectified, but the first unfit still exists and the fourth unfit appears.(4) Form Logistic four-parameter model by introducing c parameter and y parameter at the same time and estimate one more time. This model makes all kinds of unfits, including the first, second, third and fourth unfits, rectified.

1设计这批被试分别做对或做错一道b值不同的试题，用Logistic单、双参数模型对被试进行能力估计时，发现被试能力估计存在着两类失拟现象；(2)在双参数模型基础上增加c参数，对被试进行能力估计，发现c参数能有效纠正第一失拟现象，然而仍然存在第二失拟现象，同时还存在第三失拟现象；(3)在双参数模型基础上增加γ参数，再对被试进行能力估计，发现γ参数能有效纠正第二失拟现象，而仍然存在第一失拟现象，同时还存在第四失拟现象；(4)同时增加c、γ参数形成Logistic四参数模型，再对被试进行能力估计，这时该模型对各类失拟现象，包括第一、第二、第三、第四失拟现象都具有良好拟合能力。

Results Single factor logistic regression showed that the risk factors to myopia were the distance between eyes and book when reading, reading on the bus, hours spend on doing homework every night, exceeding 40 minutes once reading or doing homework, eyestrain and favorite taste. The result of further multiple logistic regression was that distance between eyes and hook when reading, reading on the bus, eyestrain and favorite taste had statistical difference (P.05) to the model.

结果 单因素Logistic回归分析发现，读书时眼睛与书本距离、车上看书、每晚做作业时间、一次看书写作业持续时间超过40min、眼睛酸累和最喜欢咸味是小学生近视发生的危险因素；进一步多因素Logistic回归分析发现，读书时眼睛与书本距离、车上看书、眼睛酸累和最喜欢咸味对模型的作用有统计学意义（P值均＜0.05）。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。