%0 Report %1 gebert2016discretetime %A Gebert, Steffen %A Zinner, Thomas %A Lange, Stanislav %A Schwartz, Christian %A Tran-Gia, Phuoc %D 2016 %K Analysis Discrete-Time myown %N 498 %T Discrete-Time Analysis: Deriving the Distribution of the Number of Events in an Arbitrarily Distributed Interval %U https://www3.informatik.uni-wuerzburg.de/TR/tr498.pdf %X For the context of discrete-time analysis, this document describes how to derive the distribution of the number of events in an arbitrarily distributed interval.

@techreport{gebert2016discretetime, abstract = {For the context of discrete-time analysis, this document describes how to derive the distribution of the number of events in an arbitrarily distributed interval.}, added-at = {2016-06-16T08:25:08.000+0200}, author = {Gebert, Steffen and Zinner, Thomas and Lange, Stanislav and Schwartz, Christian and Tran-Gia, Phuoc}, biburl = {https://www.bibsonomy.org/bibtex/2911a4e4bc9c464a77da6695d030c84c0/trcsuniwue}, interhash = {840145bd7349fed59a4a719f888750df}, intrahash = {911a4e4bc9c464a77da6695d030c84c0}, keywords = {Analysis Discrete-Time myown}, month = {Juni}, number = 498, timestamp = {2016-06-16T08:25:08.000+0200}, title = {Discrete-Time Analysis: Deriving the Distribution of the Number of Events in an Arbitrarily Distributed Interval}, url = {https://www3.informatik.uni-wuerzburg.de/TR/tr498.pdf}, year = 2016 }