改进的岭估计在logistic模型中的应用

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1、-哈尔滨工业大学理学硕士学位论文目录摘要...............................................................................................................................IABSTRACT.....................................................................................................................II目录..................

2、..........................................................................................................III第1章绪论................................................................................................................11.1课题研究的背景、目的及意义....................................................

3、.....................11.2国内外研究现状..................................................................................................21.3本文的结构框架..................................................................................................3第2章Logistic回归简介及其参数估计..................................

4、..................................52.1Logistic回归的背景简介....................................................................................52.2Logistic回归的数学模型....................................................................................62.3Logistic回归模型的参数估计方法................................

5、....................................72.3.1回归参数的无约束估计...............................................................................72.3.2回归参数的约束估计...................................................................................82.3.3回归参数的初步试验估计.................................................

6、..........................92.4本章小结...............................................................................................................9第3章Logistic岭回归估计及其渐近分布..............................................................113.1Logistic岭回归估计...............................................

7、............................................11---3.1Logistic岭回归估计的渐近分布......................................................................113.2.1无约束岭估计的渐近分布........................................................................