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  3. From Finite Sample to Asymptotic Methods in Statistics
  • Cited by 18
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2012
      October 2009
      ISBN:
      9780511806957
      9780521877220
      DOI:
      https://doi.org/10.1017/CBO9780511806957
      Dimensions:
      (253 x 215 mm)
      Weight & Pages:
      0.85kg, 398 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Statistics for Life Sciences, Medicine and Health, General Statistics and Probability, Statistical Theory and Methods, Statistics and Probability
      Series:
      Cambridge Series in Statistical and Probabilistic Mathematics (29)
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    Subjects:
    Statistics for Life Sciences, Medicine and Health, General Statistics and Probability, Statistical Theory and Methods, Statistics and Probability
    Series:
    Cambridge Series in Statistical and Probabilistic Mathematics (29)
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    Book description

    Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers.

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