%0 Conference Paper %1 conf/ausai/MakalicS23 %A Makalic, Enes %A Schmidt, Daniel F. %B AI (1) %D 2023 %E Liu, Tongliang %E Webb, Geoffrey I. %E Yue, Lin %E Wang, Dadong %I Springer %K dblp %P 291-303 %T Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data. %U http://dblp.uni-trier.de/db/conf/ausai/ausai2023-1.html#MakalicS23 %V 14471 %@ 978-981-99-8388-9

@inproceedings{conf/ausai/MakalicS23, added-at = {2023-12-10T00:00:00.000+0100}, author = {Makalic, Enes and Schmidt, Daniel F.}, biburl = {https://www.bibsonomy.org/bibtex/28c7c76ff60062bd319250e597ac59c06/dblp}, booktitle = {AI (1)}, crossref = {conf/ausai/2023-1}, editor = {Liu, Tongliang and Webb, Geoffrey I. and Yue, Lin and Wang, Dadong}, ee = {https://doi.org/10.1007/978-981-99-8388-9_24}, interhash = {b201672f46b3933adf508e32162bfaba}, intrahash = {8c7c76ff60062bd319250e597ac59c06}, isbn = {978-981-99-8388-9}, keywords = {dblp}, pages = {291-303}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-10T02:27:46.000+0200}, title = {Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data.}, url = {http://dblp.uni-trier.de/db/conf/ausai/ausai2023-1.html#MakalicS23}, volume = 14471, year = 2023 }