Empirical Process Techniques for Dependent Data
Buch in deiner Nähe kaufen
Beschreibung
Empirical process techniques for independent data have been used for
many years in statistics and probability theory. This work gives an
introduction to a new theory of empirical process techniques ---
treating dependent data --- which has so far been scattered widely in
the statistical and probabilistic literature, and surveys the most
recent developments in various related fields. To date this book is
the only comprehensive treatment of the topic in book literature. It
is an ideal introductory text that will serve as a reference or
resource for classroom use.
Autor*in
Herold Dehling
Themen in »Empirical Process Techniques for Dependent Data«
Excel Gaussian process Likelihood Maxima Probability theory Random variable Rang applications of statistics applied probability ksa mixing point process sets statistics time series analysis
Stimmen zu »Empirical Process Techniques for Dependent Data«
"The book is an outgrowth of the workshop held in November 2000 at the University of Copenhagen. It opens by an extensive tutorial covering the topic from the early roots up to recent developments and is accompanied by a vast bibliography of newly 150 items...
The book is the first comprehensive treatment of this topic, perhaps because only the present-day computers are able to meet the enormous requirements for high speed and large memory necessary for the application of statistical techniques to dependent data. It will be suitable for classroom use as well as for specialists in probability and statistics and for practitioners in the above mentioned branches of dependent data applications." ---APPLICATIONS OF MATHEMATICS
()