Multivariate density estimation for interval-censored data with application to a forest fire modelling problem
Author:
Affiliation:
1. Department of Statistics; University of British Columbia-Okanagan; Kelowna V1V 1V7 BC Canada
2. Department of Statistical Sciences; University of Toronto; Toronto M5S 2J7 ON Canada
Funder
CANSSI (Canadian Statistical Sciences Institute) and NSERC
Publisher
Wiley
Subject
Ecological Modeling,Statistics and Probability
Reference22 articles.
1. A model to predict lightning-caused fire occurrences;Anderson;International Journal of Wildland Fire,2002
2. Local likelihood density estimation for interval censored data;Braun;The Canadian Journal of Statistics,2005
3. A critical evaluation of fire suppression effects in the boreal forest of Ontario;Bridge;Forest Science,2005
4. Effective fire suppression in boreal forests;Cummings;Canadian Journal of Forestry Research,2005
5. Bootstrap Methods and their Application
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1. Survival functions of holdover time of lightning-ignited wildfires;Electric Power Systems Research;2024-06
2. A global database on holdover time of lightning-ignited wildfires;Earth System Science Data;2023-03-16
3. A Mixture Model for Bivariate Interval-Censored Failure Times with Dependent Susceptibility;Statistics in Biosciences;2020-03-07
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