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

By: Contributor(s): Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2002.Description: 1 online resource (xxi, 547 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 051107798X
  • 9780511077982
  • 0511119771
  • 9780511119774
  • 051107641X
  • 9780511076411
  • 9781139164832
  • 113916483X
  • 9786610162826
  • 6610162824
  • 1107131294
  • 9781107131293
  • 1280162821
  • 9781280162824
  • 0511204914
  • 9780511204913
  • 0511561393
  • 9780511561399
Subject(s): Genre/Form: Additional physical formats: Print version:: Making history count.DDC classification:
  • 907.2 22
LOC classification:
  • D16.17 .F45 2002eb
Other classification:
  • 15.03
  • MR 2100
  • NB 2800
  • NB 5600
  • ND 9400
  • 8
Online resources:
Contents:
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.
Summary: 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 electronically in downloadable and manipulatable form.
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Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

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.

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 electronically in downloadable and manipulatable form.

Print version record.

English.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

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