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 regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets...
The LRA (Logistic Regression Analysis) conducts a quantitative analysis by collecting a lot of samples and the AHP (Analytic Hierarchy Program) makes use o... YJ Lee,GA Park,SJ Kim - 《Journal of the Korean Society of Agricultural Engineers》 被引量: 6发表: 2007年 Application of logistic ...
Menard, S. (2001): Applied Logistic Regression Analysis, Thousand Oaks.Menard, S. (1995). Applied logistic regression analysis. Sage University Paper Series on Quantitative Applications in the Social Sciences. Thousand Oaks, CA: Sage.Menard, S. (1995). Applied logistic regression analysis: Sage ...
Applied logistic regression analysisCiteSeerXcitationsS MenardIncludes bibliographical referencesdoi:10.1080/00401706.1996.10484485NoneTaylor & Francis GroupTechnometrics
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 regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets...
q=Applied+Logistic+Regression%2C+ http://bit.ly/1kp8hFD StatisticalMeta-AnalysiswithApplications,JoachimHartung,GuidoKnapp,BimalK.Sinha,Sep26, 2008,Medical,288pages.Anaccessibleintroductiontoperformingmeta-analysisacrossvarious areasofresearchThepracticeofmeta-analysisallowsresearcherstoobtainfindingsfromvarious...
Applied Logistic Regression Analysis 作者: Menard, Scott 出版社: Sage Pubns副标题: Logistic Regression Analysis出版年: 2001-10页数: 128定价: $ 20.28装帧: PapISBN: 9780761922087豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到
628 11.7 Logistic Regression and Classification 634 Introduction, 634 The Logit Model, 634 Logistic Regression Analysis, 636 Classification, 638 Logistic Regression with Binomial Responses, 640 11.8 Final Comment s 644 Including Qualitative Variables, 644 Classification Trees, 644 Neural Networks, 647 Sele...
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3.2TheMultipleLinearRegressionModel31 3.3TermsandPredictors31 3.4Ordinaryleastsquares32 3.5Theanalysisofvariance32 3.6Predictionsandfittedvalues33 4DrawingConclusions35 4.1Understandingparameterestimates35 4.1.1Rateofchange35 4.1.2Signofestimates35 4.1.3Interpretationdependsonothertermsinthemeanfunction35 ...