It takes the average reader 6 hours and 27 minutes to read Empirical Process Techniques for Dependent Data by Herold Dehling
Assuming a reading speed of 250 words per minute. Learn more
Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence structure in data sets from many different subject areas such as finance, insurance, and telecommunications has led to new developments concerning the empirical distribution function and the empirical process for dependent, mostly stationary sequences. This work gives an introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and surveys the most recent developments in various related fields. Key features: A thorough and comprehensive introduction to the existing theory of empirical process techniques for dependent data * Accessible surveys by leading experts of the most recent developments in various related fields * Examines empirical process techniques for dependent data, useful for studying parametric and non-parametric statistical procedures * Comprehensive bibliographies * An overview of applications in various fields related to empirical processes: e.g., spectral analysis of time-series, the bootstrap for stationary sequences, extreme value theory, and the empirical process for mixing dependent observations, including the case of strong dependence. 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 in the areas of statistics, time-series analysis, extreme value theory, point process theory, and applied probability theory. Contributors: P. Ango Nze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling,
Empirical Process Techniques for Dependent Data by Herold Dehling is 383 pages long, and a total of 96,899 words.
This makes it 129% the length of the average book. It also has 118% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 49 minutes to read Empirical Process Techniques for Dependent Data aloud.
Empirical Process Techniques for Dependent Data is suitable for students ages 12 and up.
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