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TY  - BOOK
ID  - 29426374
TI  - Asymptotic statistics
PY  - 1998
SN  - 0521496039 0521784506 1107263727 0511802250 9780521784504 9780511802256 9780521496032
PB  - Cambridge: Cambridge university press,
DB  - UniCat
KW  - 519.224
KW  - Mathematical statistics
KW  - -519.214
KW  - Mathematics
KW  - Statistical inference
KW  - Statistics, Mathematical
KW  - 519.214 Limit theorems
KW  - Limit theorems
KW  - 519.224 Distribution theory. Asymptotic theory. Characterization and structure theory
KW  - Distribution theory. Asymptotic theory. Characterization and structure theory
KW  - Asymptotic theory
KW  - Statistical methods
KW  - Statistics
KW  - Probabilities
KW  - Sampling (Statistics)
KW  - Asymptotic theory.
KW  - Statistique mathématique
KW  - Théorie asymptotique
KW  - Mathematical Sciences
KW  - Probability
KW  - stochastische processen
KW  - wiskundige statistiek
KW  - -Mathematics
KW  - Asymptotic expansions
KW  - -519.224
KW  - Mathematical statistics - Asymptotic theory
KW  - Statistique
KW  - -519.224 Distribution theory. Asymptotic theory. Characterization and structure theory
KW  - -Asymptotic theory
UR  - https://www.unicat.be/uniCat?func=search&query=sysid:29426374
AB  - This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics.
ER  -