Making history count : a primer in quantitative methods for historians / Charles H. Feinstein and Mark Thomas.

Includes bibliographical references (pages 529-538) and indexes.

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.