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Inference Framework and Method

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Statistical Analysis with Measurement Error or Misclassification

Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

This chapter sets the stage for the development of the book. The discussion in this chapter concerns the standard context in which mismeasurement is absent. This chapter lays out a broad framework for parametric inferences where estimation is of central interest. §1.1 outlines the inference framework and the objectives. Important issues concerning modeling and inferences are discussed in §1.2. Representative and useful estimation methodology is reviewed in §1.3. Strategies of handling model misspecification are described in §1.4, and the extension to the regression setting is included in §1.5. Brief bibliographic notes are presented in §1.6.

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Authors and Affiliations

  1. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

    Grace Y. Yi

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  1. Grace Y. Yi
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Yi, G.Y. (2017). Inference Framework and Method. In: Statistical Analysis with Measurement Error or Misclassification. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6640-0_1

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