probit analysis

probit analysis的基本解释

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概率单位分析

与probit analysis相关的网络例句 [注：此内容来源于网络，仅供参考]

There are two mainly methods for analysis of the survey questionnaire. One is the descriptive statistic analysis, the other is the probit model and the econometric analysis of the probit model.

主要采用了两种方法对调查问卷进行分析，一是描述性统计分析，二是 probit 模型和 order probit 模型的计量分析。

Unlike the existing literature which uses only the sample of workers in studying, the incidence of overeducation, this thesis further takes into account the role of non-workers and compares the results estimated by both the Probit Model and Probit Model with Sample Selection.

另外有别於过去在讨论个人发生超额教育机率议题的文献，其皆只采用有工作者样本，在此本文兹将无工作者样本纳入考量，并利用考虑与未考虑样本选择 Probit模型相互比较。

Besides, by using above-mentioned methods to attest the accuracy of factors, the correct percentage of each model are closely, that are 78.19% of logistic regression analysis, 78.06% of discriminate analysis and 78.45% of probit regression analysis.

另本研究所建构之覆核模型，其总正确率分别为：Logistic回归分析为78.19%，鉴别分析为78.06%，Probit回归分析为78.45%，三者之间差异极小，但以Probit回归分析所获之预测能力较佳。

与probit analysis相关的网络解释 [注：此内容来源于网络，仅供参考]

probit analysis：概率分析

概率分析(Probit Analysis) 什么是概率分析 概率分析又称风险分析,是通过研究各种不确定性因素发生不同变动幅度的概率分布及其对项目经济效益指标的影响,对项目可行性和风险性以及方案优劣作出判断的一种不确定性分析法.

probit analysis：概率单位分析

probability proportionate sampling 概率比例抽样 | probit analysis 概率单位分析 | process 过程

probit analysis：概率元分析

probit 概率值 | probit analysis 概率元分析 | probit range 概率值范围

probit analysis：机率单位分析

机率单位 probit | 机率单位分析 probit analysis | 机率单位回归 probit regression

Probit analysis probit：分析

pretest 前测 | Probit analysis probit 分析 | Problem formulation 问题形成