Making history count : a primer in quantitative methods for historians /
This authoritative guide to quantitative methods is designed to be used as the basic text for taught graduate courses, and upper-level students working on their own. Illustrated with tables, graphs and diagrams, it introduces key topics, and supported by five specific historical data-sets, available...
| Основен автор: | Feinstein, C. H. |
|---|---|
| Други автори: | Thomas, Mark, 1954- |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Cambridge ; New York :
Cambridge University Press,
2002.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=125069 |
| Подобни документи: |
Print version::
Making history count. |
Съдържание:
- PART I. Elementary statistical analysis:
- Introduction
- Descriptive statistics
- Correlation
- Simple linear regression
- PART II. Samples and inductive statistics:
- Standard errors and confidence intervals
- Hypothesis testing
- Non-parametric tests
- PART III. Multiple linear regression:
- Multiple relationships
- Classical linear regression model
- Dummy variables and lagged values
- PART IV. Further topics in regression analysis:
- Violating the assumptions of the classical model
- Non-linear models and functional forms
- Logit, probit, and tobit models
- PART V. Specifying and interpreting models: four case studies:
- Case studies 1 and 2: unemployment in Britain and emigration from Ireland
- Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850-60
- Appendix A.
- Four data sets
- Appendix B.
- Index numbers.