Using classification and regression trees :: a practical primer /
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Charlotte, N.C. :
Information Age Publishing Inc.,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781641132398 1641132396 |
Internformat
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| 505 | 0 | |a Preface -- Introduction -- Scientific reasoning in the computer age -- Making the case for inductive or data-driven research -- Putting the case in a practical perspective -- Demonstration of CART as an exploratory technique -- Advantages of art -- Notes -- Statistical principles of CART -- Important functions of cart -- Statistical concepts of CART -- Statistical procedures of CART -- Growing the CART tree -- Stopping the cart tree -- Pruning the cart tree -- Notes -- Basic techniques of care -- Statistical techniques of classification trees -- Using costs and priors -- Statistical techniques of regression trees -- Using cost complexity -- Contents -- Using r-squared -- Using surrogates -- Notes -- Issues in cart -- Analysis -- CART versus traditional statistical techniques -- Formulating research questions -- Determining important variables -- Revealing unique variables -- Examining terminal nodes -- Handling missing data -- Determining node size -- Assessing cart performance -- Notes -- Applications of cart -- Operation of CART software programs -- Application 1: Growth in mathematics achievement during middle and high school -- Application 2: Dropping out of advanced mathematics in middle and high school -- Application 3: Science coursework among tenth graders in high school -- Notes -- Advanced techniques of cart -- Extending analytical power of cart -- Concept of hybrid statistical models -- Longitudinal cart analysis -- Multivariate cart analysis -- Multilevel cart analysis -- Cart procedure for meta-analysis -- Concluding statement -- Notes -- References -- A functionally equivalent binary tree -- B common cart software programs -- C spss decision tree syntax -- SPSS decision tree output -- E SPSS decision tree syntax using costs and profits -- F SPSS decision tree syntax using priors -- G SPSS decision tree syntax for drinking and smoking data -- H SPSS decision tree syntax for mental health -- And physical health data -- I SPSS decision tree syntax for cart produce for meta-analysis -- About the author. | |
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| contents | Preface -- Introduction -- Scientific reasoning in the computer age -- Making the case for inductive or data-driven research -- Putting the case in a practical perspective -- Demonstration of CART as an exploratory technique -- Advantages of art -- Notes -- Statistical principles of CART -- Important functions of cart -- Statistical concepts of CART -- Statistical procedures of CART -- Growing the CART tree -- Stopping the cart tree -- Pruning the cart tree -- Notes -- Basic techniques of care -- Statistical techniques of classification trees -- Using costs and priors -- Statistical techniques of regression trees -- Using cost complexity -- Contents -- Using r-squared -- Using surrogates -- Notes -- Issues in cart -- Analysis -- CART versus traditional statistical techniques -- Formulating research questions -- Determining important variables -- Revealing unique variables -- Examining terminal nodes -- Handling missing data -- Determining node size -- Assessing cart performance -- Notes -- Applications of cart -- Operation of CART software programs -- Application 1: Growth in mathematics achievement during middle and high school -- Application 2: Dropping out of advanced mathematics in middle and high school -- Application 3: Science coursework among tenth graders in high school -- Notes -- Advanced techniques of cart -- Extending analytical power of cart -- Concept of hybrid statistical models -- Longitudinal cart analysis -- Multivariate cart analysis -- Multilevel cart analysis -- Cart procedure for meta-analysis -- Concluding statement -- Notes -- References -- A functionally equivalent binary tree -- B common cart software programs -- C spss decision tree syntax -- SPSS decision tree output -- E SPSS decision tree syntax using costs and profits -- F SPSS decision tree syntax using priors -- G SPSS decision tree syntax for drinking and smoking data -- H SPSS decision tree syntax for mental health -- And physical health data -- I SPSS decision tree syntax for cart produce for meta-analysis -- About the author. |
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| spelling | Ma, Xin, 1963- author. http://id.loc.gov/authorities/names/nb2006018372 Using classification and regression trees : a practical primer / Xin Ma, University of Kentucky. 1807 Charlotte, N.C. : Information Age Publishing Inc., [2018] 1 online resource text txt rdacontent computer n rdamedia online resource nc rdacarrier Includes bibliographical references. Preface -- Introduction -- Scientific reasoning in the computer age -- Making the case for inductive or data-driven research -- Putting the case in a practical perspective -- Demonstration of CART as an exploratory technique -- Advantages of art -- Notes -- Statistical principles of CART -- Important functions of cart -- Statistical concepts of CART -- Statistical procedures of CART -- Growing the CART tree -- Stopping the cart tree -- Pruning the cart tree -- Notes -- Basic techniques of care -- Statistical techniques of classification trees -- Using costs and priors -- Statistical techniques of regression trees -- Using cost complexity -- Contents -- Using r-squared -- Using surrogates -- Notes -- Issues in cart -- Analysis -- CART versus traditional statistical techniques -- Formulating research questions -- Determining important variables -- Revealing unique variables -- Examining terminal nodes -- Handling missing data -- Determining node size -- Assessing cart performance -- Notes -- Applications of cart -- Operation of CART software programs -- Application 1: Growth in mathematics achievement during middle and high school -- Application 2: Dropping out of advanced mathematics in middle and high school -- Application 3: Science coursework among tenth graders in high school -- Notes -- Advanced techniques of cart -- Extending analytical power of cart -- Concept of hybrid statistical models -- Longitudinal cart analysis -- Multivariate cart analysis -- Multilevel cart analysis -- Cart procedure for meta-analysis -- Concluding statement -- Notes -- References -- A functionally equivalent binary tree -- B common cart software programs -- C spss decision tree syntax -- SPSS decision tree output -- E SPSS decision tree syntax using costs and profits -- F SPSS decision tree syntax using priors -- G SPSS decision tree syntax for drinking and smoking data -- H SPSS decision tree syntax for mental health -- And physical health data -- I SPSS decision tree syntax for cart produce for meta-analysis -- About the author. Print version record and CIP data provided by publisher; resource not viewed. Education Research Statistical methods. Discriminant analysis. http://id.loc.gov/authorities/subjects/sh85038374 Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Analyse discriminante. Analyse de régression. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Discriminant analysis. cct Education Research Statistical methods fast Discriminant analysis fast Regression analysis fast Trees (Graph theory) fast has work: Using classification and regression trees (Text) https://id.oclc.org/worldcat/entity/E39PCFq646dpk4dy8gXTjcDtYX https://id.oclc.org/worldcat/ontology/hasWork Print version: Ma, Xin, 1963- Using classification and regression trees. Charlotte, N.C. : Information Age Publishing Inc., [2018] 9781641132374 (DLC) 2018010345 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1733305 Volltext |
| spellingShingle | Ma, Xin, 1963- Using classification and regression trees : a practical primer / Preface -- Introduction -- Scientific reasoning in the computer age -- Making the case for inductive or data-driven research -- Putting the case in a practical perspective -- Demonstration of CART as an exploratory technique -- Advantages of art -- Notes -- Statistical principles of CART -- Important functions of cart -- Statistical concepts of CART -- Statistical procedures of CART -- Growing the CART tree -- Stopping the cart tree -- Pruning the cart tree -- Notes -- Basic techniques of care -- Statistical techniques of classification trees -- Using costs and priors -- Statistical techniques of regression trees -- Using cost complexity -- Contents -- Using r-squared -- Using surrogates -- Notes -- Issues in cart -- Analysis -- CART versus traditional statistical techniques -- Formulating research questions -- Determining important variables -- Revealing unique variables -- Examining terminal nodes -- Handling missing data -- Determining node size -- Assessing cart performance -- Notes -- Applications of cart -- Operation of CART software programs -- Application 1: Growth in mathematics achievement during middle and high school -- Application 2: Dropping out of advanced mathematics in middle and high school -- Application 3: Science coursework among tenth graders in high school -- Notes -- Advanced techniques of cart -- Extending analytical power of cart -- Concept of hybrid statistical models -- Longitudinal cart analysis -- Multivariate cart analysis -- Multilevel cart analysis -- Cart procedure for meta-analysis -- Concluding statement -- Notes -- References -- A functionally equivalent binary tree -- B common cart software programs -- C spss decision tree syntax -- SPSS decision tree output -- E SPSS decision tree syntax using costs and profits -- F SPSS decision tree syntax using priors -- G SPSS decision tree syntax for drinking and smoking data -- H SPSS decision tree syntax for mental health -- And physical health data -- I SPSS decision tree syntax for cart produce for meta-analysis -- About the author. Education Research Statistical methods. Discriminant analysis. http://id.loc.gov/authorities/subjects/sh85038374 Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Analyse discriminante. Analyse de régression. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Discriminant analysis. cct Education Research Statistical methods fast Discriminant analysis fast Regression analysis fast Trees (Graph theory) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85038374 http://id.loc.gov/authorities/subjects/sh85112392 |
| title | Using classification and regression trees : a practical primer / |
| title_auth | Using classification and regression trees : a practical primer / |
| title_exact_search | Using classification and regression trees : a practical primer / |
| title_full | Using classification and regression trees : a practical primer / Xin Ma, University of Kentucky. |
| title_fullStr | Using classification and regression trees : a practical primer / Xin Ma, University of Kentucky. |
| title_full_unstemmed | Using classification and regression trees : a practical primer / Xin Ma, University of Kentucky. |
| title_short | Using classification and regression trees : |
| title_sort | using classification and regression trees a practical primer |
| title_sub | a practical primer / |
| topic | Education Research Statistical methods. Discriminant analysis. http://id.loc.gov/authorities/subjects/sh85038374 Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Analyse discriminante. Analyse de régression. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Discriminant analysis. cct Education Research Statistical methods fast Discriminant analysis fast Regression analysis fast Trees (Graph theory) fast |
| topic_facet | Education Research Statistical methods. Discriminant analysis. Regression analysis. Analyse discriminante. Analyse de régression. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Education Research Statistical methods Discriminant analysis Regression analysis Trees (Graph theory) |
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