|
|
|
|
| LEADER |
02859nam a2200457 u 4500 |
| 001 |
EB001887647 |
| 003 |
EBX01000000000000001051008 |
| 005 |
00000000000000.0 |
| 007 |
tu||||||||||||||||||||| |
| 008 |
191222 r ||| eng |
| 020 |
|
|
|a 9783110250282
|
| 100 |
1 |
|
|a Höpfner, Reinhard
|
| 245 |
0 |
0 |
|a Asymptotic Statistics
|h Elektronische Ressource
|b With a View to Stochastic Processes
|c Reinhard Höpfner
|
| 260 |
|
|
|a Berlin
|b De Gruyter
|c [2014]©2014, 2014
|
| 300 |
|
|
|a 286 p.
|
| 653 |
|
|
|a Mathematical statistics / Asymptotic theory
|
| 653 |
|
|
|a Local Asymptotic
|
| 653 |
|
|
|a Electronic books
|
| 653 |
|
|
|a LAMN.
|
| 653 |
|
|
|a Statistical Model
|
| 653 |
|
|
|a Asymptotic distribution (Probability theory)
|
| 653 |
|
|
|a LAN.
|
| 653 |
|
|
|a Local Asymptotic Quadraticity
|
| 653 |
|
|
|a Statistical Experiment
|
| 653 |
|
|
|a LAQ.
|
| 653 |
|
|
|a General Asymptotic Theory
|
| 653 |
|
|
|a Local Asymptotic Normality
|
| 653 |
|
|
|a MATHEMATICS / Probability & Statistics / General / bisacsh
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b GRUYMPG
|a DeGruyter MPG Collection
|
| 490 |
0 |
|
|a De Gruyter Textbook
|
| 500 |
|
|
|a Mode of access: Internet via World Wide Web
|
| 028 |
5 |
0 |
|a 10.1515/9783110250282
|
| 773 |
0 |
|
|t DGBA Backlist Mathematics English Language 2000-2014
|
| 773 |
0 |
|
|t EBOOK PACKAGE Mathematics, Physics 2014
|
| 773 |
0 |
|
|t DGBA Backlist Complete English Language 2000-2014 PART1
|
| 773 |
0 |
|
|t DGBA Mathematics 2000 - 2014
|
| 773 |
0 |
|
|t EBOOK PACKAGE Complete Package 2014
|
| 856 |
4 |
0 |
|u https://www.degruyter.com/doi/book/10.1515/9783110250282?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 519.6 23
|
| 520 |
|
|
|a This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical independent and identically distributed models and with stochastic processes. The book can be read in different ways, according to possibly different mathematical preferences of the reader. One reader may focus on the statistical theory, and thus on the chapters about Gaussian shift models, mixed normal and quadratic models, and on local asymptotics where the limit model is a Gaussian shift or a mixed normal or a quadratic experiment (LAN, LAMN, LAQ). Another reader may prefer an introduction to stochastic process models where given statistical results apply, and thus concentrate on subsections or chapters on likelihood ratio processes and some diffusion type models where LAN, LAMN or LAQ occurs. Finally, readers might put together both aspects. The book is suitable for graduate students starting to work in statistics of stochastic processes, as well as for researchers interested in a precise introduction to this area
|