MATLAB用拟合出的代码绘图使用Logistic回归评估极端变暖与气候模式之间的相互作用 Logistic回归（LR）可​​用作检查二进制变量及其潜在协变量之间关系的实用方法。 这是一个有关如何使用MATLAB使用LR评估极端变暖和气候模式之间的相互作用的教程。 资料说明 本教程使用了三个主要数据。 1）根据HadISST数据在1950年至2018年期间的海面温度异常（Titchner and Rayner，2014）。 2）1950年至2018年的极端暖化二元指数，其中1表示相应网格中存在极端暖化，否则为0。 3）气候模式指数，包括MEI，AMO，PDO，NPGO和SAM。 型号说明 此处使用的LR的控制方程为： 其中p是极端变暖存在的概率，是SST相对于先前时间步长的变化，MEI，AMO，PDO，NPGO和SAM是相应的气候模式指标。 该等式可以转换为： 当协变量（， MEI ， AMO ， PDO和NPGO ）增加1个单位时，相对于无极端变暖（）的极端变暖概率将增加到。 分步代码 首先，我们需要加载相应的数据。 首先，我们加载SST异常。 由于github不允许太大的数据集，因

作业（共两题） 1.根据三个财务比率估计公司破产概率。（数据见ftp 财务比率与破产预测.sav） Y=0，若两年后破产 Y=1， 若两年后仍有偿付能力 X1=未分配利润/总资产 X2=支付利息税金前的利润/总资产 X3=销售额/总资产 按照习题模式，列出最终计算结果，并做出必要解释。 （Logistic 模型最终表达式 模型检验、拟合优度 Wald 检验 最终分类表、观测与预测分布图 系数相关矩阵）

逻辑回归 logistic regression

一本很好的关于逻辑回归分析的书 Review "...The book is a classic, extremely well written, and it includes a variety of software packages and real examples...." -- The Statistician, Vol. 51, No.2, 2002 "...an excellent book that balances many objectives well.... All statistical practitioners...can benefit from this book...Applied Logistic Regression is an ideal choice." -- Technometrics, February 2002 "...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." -- Statistics in Medicine, No.21, 2002 "...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." -- Short Book Reviews, Vol. 21, No. 2, August 2001 "In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." -- Journal of the American Statistical Association, September 2001 Product Description From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."-Choice "Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."-Contemporary Sociology "An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."-The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic reg