Estimating age-specific hazards from wildlife telemetry data

Keyphrases

• Age-specific 100%
• Telemetry Data 100%
• Wildlife Telemetry 100%
• Neonate 66%
• Left-truncated 66%
• Minnesota 33%
• Simulation Study 33%
• Modeling Approach 33%
• Odocoileus Virginianus 33%
• White-tailed Deer 33%
• Model Fitting 33%
• Maximum Likelihood 33%
• Aged Persons 33%
• Observation Process 33%
• Penalized Likelihood 33%
• Time Since Death 33%
• Emigration 33%
• Right Censoring 33%
• Interval Censoring 33%
• Siler 33%
• Left-censored 33%
• Risk Model 33%
• Telemetry Study 33%
• Radio-collar 33%
• Likelihood Estimates 33%

Mathematics

• Simulation Study 100%
• Model Fit 100%
• Modeling Approach 100%
• time interval τ 100%
• Competing Risk Model 100%
• Observation Process 100%
• Maximum Likelihood 100%

Earth and Planetary Sciences

• Neonate 100%
• Minnesota 50%
• Regional Geography 50%