Weak Convergence of Stochastic Processes : : With Applications to Statistical Limit Theorems / / Vidyadhar S. Mandrekar.
The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literat...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016 |
---|---|
VerfasserIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2016] ©2016 |
Year of Publication: | 2016 |
Language: | English |
Series: | De Gruyter Textbook
|
Online Access: | |
Physical Description: | 1 online resource (VI, 142 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Weak convergence of stochastic processes : : with applications to statistical limit theorems / / Vidyadhar S. Mandrekar.
by: Mandrekar, V.,
Published: (2016.) -
Probability and stochastic processes / / Ionut Florescu, Stevens Institute of Technology, Hoboken, NJ.
by: Florescu, Ionut,
Published: ([2015]) -
Introduction to statistical limit theory / / Alan M. Polansky.
by: Polansky, Alan M.,
Published: (2011.) -
Stationary Stochastic Processes. (MN-8) / / Takeyuki Hida.
by: Hida, Takeyuki,
Published: ([2015]) -
Stochastic geometry and its applications / Sung Nok Chiu ... [et al.].
by: Stoyan, Dietrich.
Published: (2013.)