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Sufficient Statistics

  • Mark J. Schervish
Part of the Springer Series in Statistics book series (SSS)

Abstract

We now turn our attention to the broad area of statistics. This will concern the manner in which one learns from data. In this chapter, we will study some of the basic properties of probability models and how data can be used to help us learn about the parameters of those models.

Keywords

Conditional Distribution Fisher Information Exponential Family Fisher Information Matrix Transition Kernel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1995

Authors and Affiliations

  • Mark J. Schervish
    • 1
  1. 1.Department of StatisticsCarnegie Mellon UniversityPittsburghUSA

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