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  3. Maximum Likelihood for Social Science
  • Cited by 46
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    • Publisher:
      Cambridge University Press
      Publication date:
      November 2018
      November 2018
      ISBN:
      9781316888544
      9781107185821
      9781316636824
      DOI:
      https://doi.org/10.1017/9781316888544
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.59kg, 322 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.47kg, 324 Pages
      • Subjects:
      Research Methods in Politics, Politics: General Interest, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Politics and International Relations, Research Methods In Politics, Sociology
      Series:
      Analytical Methods for Social Research
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    Subjects:
    Research Methods in Politics, Politics: General Interest, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Politics and International Relations, Research Methods In Politics, Sociology
    Series:
    Analytical Methods for Social Research
    Information

    Book description

    This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

    Reviews

    '… offer[s] an excellent text with the goal to introduce social scientists to the maximum likelihood principle in a practical way.'

    M. Oromaner Source: Choice

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