Sufficient Statistics

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


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.


Conditional Distribution Fisher Information Exponential Family Fisher Information Matrix Transition Kernel 


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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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