Mathematical Statistics: Basic Concepts and Theoretical Tools for Finite Sample Analysis

  • Takanori Sugiyama
Part of the Springer Theses book series (Springer Theses)


In this chapter, we introduce some fundamentals of statistical estimation theory. There are three purposes to this chapter. The first is to set down mathematical preliminaries in order to treat several quantum estimation problems. The second purpose is to explain how to evaluate the estimation errors and the effects of statistical errors on the estimation errors. The third is to explain known results in statistical parameter estimation which have been used in quantum estimation theory or will be used in chapters that follow. In Sect. 3.1, we explain fundamental concepts and technical terms in probability theory and statistical parameter estimation. In Sect. 3.2, we explain some known results in the asymptotic theory. In Sect. 3.3, we explain known results for expected loss and error probability involving finite samples.


Figures of merit in statistical estimation Tools for finite data analysis 


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Copyright information

© Springer Japan 2014

Authors and Affiliations

  1. 1.Department of Physics Graduate School of ScienceThe University of TokyoTokyoJapan

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