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Jingdong book

应用logistic回归分析(第二版)

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Jingdong book

应用logistic回归分析(第二版)

Name: 应用logistic回归分析(第二版)
Brand: Jingdong book
SKU: 3126000021
Price: 18.26 USD
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Editer Recommend

1.《应用logistic回归分析》对logistic回归模型的解释十分全面、翔实。2.本书的讨论应用了新的计算机软件。

Content Description

线性回归模型是一个非常有效且重要的数据分析方法。本书全面解释了logistic回归模型的估计、解释和诊断结果，详细说明了多选项和不排序多分类因变量的问题，并更新了现今应用的计算机软件，深入评论了不同的拟合优度。作者还提出了令人信服的论据去说明R2L的优势，并增加了分组数据、预测效率和风险比等新内容。

Author Description

斯科特·梅纳德（Scott Menard），美国科罗拉多大学行为科学院副研究员。毕业于康奈尔大学社会学系，并于科罗拉多大学获社会学博士学位，主要关注于滥用药物和其他违法行为的追踪式研究。

Catalogue

序
第1章线性回归和应用logistic回归模型
第1节回归假设
第2节非线性关系和变量转换
第3节二分因变量的概率、发生比、优比和logit转换
第4节 logistic回归：导论
第2章评估logistic回归模型的统计概要
第1节 R2，F和误差平方和
第2节拟合优度：GM，R2L和对数似然
第3节预测效率：λp,τ p,Фp和二项检验
第4节举例：评估logistic回归模式的充足性
第5节总结：评估logistic回归模型
第3章解释logistic回归系数
第1节 logistic回归分析的统计显著性
第2节解释非标准化logistic回归系数
第3节实质意义和标准系数
第4节指数化系数或发生比数比
第5节分类预测变量：对比和解释
第6节交互作用
第7节逐步logistic回归
第4章诊断logistic回归的介绍
第1节设定误差
第2节共线性
第3节数值问题：零格数和完全分离
第4节残差分析
第5节过度分散和过度集中
第6节 Logistic回归诊断的规程
第5章多分类logistic回归及其替代方法
第1节多分类名义因变量
第2节多分类或多项式定序因变量
第3节结论
附录：概率
注释
参考文献
译名对照表

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