not involving an estimation of the parameters of a statistic
English Journal
Nonparametric identification and maximum likelihood estimation for hidden Markov models.
Alexandrovich G1, Holzmann H1, Leister A1.
Biometrika.Biometrika.2016 Jun;103(2):423-434. Epub 2016 Mar 28.
Nonparametric identification and maximum likelihood estimation for finite-state hidden Markov models are investigated. We obtain identification of the parameters as well as the order of the Markov chain if the transition probability matrices have full-rank and are ergodic, and if the state-dependent
Emergency radiology.Emerg Radiol.2016 May 11. [Epub ahead of print]
The aim of this study is to determine the magnitude of change in spleen volume on CT in subjects sustaining blunt abdominal trauma without hemorrhage relative to patients without disease and how the spleen volumes are distributed. Sixty-seven subjects with blunt abdominal trauma and 101 control subj
Mark-specific additive hazards regression with continuous marks.
Han D1, Sun L2, Sun Y3, Qi L4.
Lifetime data analysis.Lifetime Data Anal.2016 May 11. [Epub ahead of print]
For survival data, mark variables are only observed at uncensored failure times, and it is of interest to investigate whether there is any relationship between the failure time and the mark variable. The additive hazards model, focusing on hazard differences rather than hazard ratios, has been widel
Definition of nonparametrically in the Definitions.net dictionary. Meaning of nonparametrically. What does nonparametrically mean? Information and translations of nonparametrically in the most comprehensive dictionary definitions ...
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