log-likelihoodregularizationfloor effectceiling effectExact conditional p -values based on the likelihood-ratio statistic in logistic regression require accurate computation of the supremum of the likelihood function, particularly for outcomes in the sample space that represent completely-separated or quasi-...
A numerical algorithm for searching MLE of K4D by minimizing the negative log-likelihood function with penalty method has been described. The isopluvial ... JS Park,HS Jung - 《Theoretical & Applied Climatology》 被引量: 75发表: 2002年 Establishment of a hydrological monitoring network in a tr...
The free parameters are determined via maximum likelihood estimation using a censoring-based technique; see the Appendix and Refs. [21], [22]. As an approximation, we truncate the y-domain to be 0≤y≤1 and renormalize the resulting PDF on this domain. For the negative PDF N(x,y), we...
proposed an estimator that minimizes the Gaussian negative log-likelihood regularized by theℓ1 norm of the entries (or the off-diagonal entries)of the concentration matrix.The resulting optimization problem is a log-determinant program,which can be solved in polynomial time with interior point ...
The log-normal distribution is important since it does not take negative values which it is appropriate for reproducing machine malfunction times. In turn, the exponential distribution is often used for breakdowns because there is a high degree of uncertainty about failures; thus, the only ...
A messaging server with a future message storage space for future messages, each being a sender created message not yet delivered to a recipient that has an associated sender specif
The problem of complete separation between classes may produce serious difficulties with the successful implementation of logistic regression due to the presence of floor and ceiling effects. To address this problem, the present study proposes two modifications of ordinary log-likelihood. To reveal the ...
Many other elements remain overlooked in the analysis, resulting in unobserved heterogeneity. Therefore, the present study uses a random parameter negative binomial (RPNB) model to minimize the effect of unobserved heterogeneity. It was inferred from the RPNB model that variables like gender, control...
(ii) factors that may cause false-positive and false-negative errors of SARS-CoV-2 RNA in untreated wastewater across the entire wastewater surveillance process, and (iii) strategies that can be used to minimize the likelihood and subsequent impacts of false-positive and false-negative errors on...
(2) No preemption or interruptions of jobs is allowed, i.e., once a job starts, it occupies the machine until its completion. (3) All cited variables and parameters have non-negative integer values. The total tardiness minimization problem 1||∑𝑖𝑇𝑖1||∑iTi is shown to be NP-...