Abstract
Let \(M=\left\{ p({\varvec{x}}, {\varvec{\xi }})\right\} \) be a statistical model specified by parameter \({\varvec{\xi }}\), which is to be estimated.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer Japan
About this chapter
Cite this chapter
Amari, Si. (2016). Asymptotic Theory of Statistical Inference. In: Information Geometry and Its Applications. Applied Mathematical Sciences, vol 194. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55978-8_7
Download citation
DOI: https://doi.org/10.1007/978-4-431-55978-8_7
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55977-1
Online ISBN: 978-4-431-55978-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)