Authoritative guide to using quantitative methods in history; clearly illustrated and accompanied by website material.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Part I. Elementary Statistical Analysis: 1. Introduction 2. Descriptive statistics 3. Correlation 4. Simple linear regression Part II. Samples and Inductive Statistics: 5. Standard errors and confidence intervals 6. Hypothesis testing 7. Non-parametric tests Part III. Multiple Linear Regression: 8. Multiple relationships 9. The classical linear regression model 10. Dummy variables and lagged values Part IV. Further Topics in Regression Analysis: 11. Violating the assumptions of the classical model 12. Non-linear models and functional forms 13. Logit, probit, and tobit models Part V. Specifying and Interpreting Models: Four Case Studies: 14. Case studies 1 and 2: unemployment in Britain and emigration from Ireland 15. Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850-60 Appendix A. The four data sets Appendix B. Index numbers Index.
Part I. Elementary Statistical Analysis: 1. Introduction 2. Descriptive statistics 3. Correlation 4. Simple linear regression Part II. Samples and Inductive Statistics: 5. Standard errors and confidence intervals 6. Hypothesis testing 7. Non-parametric tests Part III. Multiple Linear Regression: 8. Multiple relationships 9. The classical linear regression model 10. Dummy variables and lagged values Part IV. Further Topics in Regression Analysis: 11. Violating the assumptions of the classical model 12. Non-linear models and functional forms 13. Logit, probit, and tobit models Part V. Specifying and Interpreting Models: Four Case Studies: 14. Case studies 1 and 2: unemployment in Britain and emigration from Ireland 15. Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850-60 Appendix A. The four data sets Appendix B. Index numbers Index.
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