Results 71 to 80 of about 3,652,623 (306)
Maintaining symmetry of simulated likelihood functions [PDF]
This paper suggests solutions to two different types of simulation errors related to Quasi-Monte Carlo integration. Likelihood functions which depend on standard deviations of mixed parameters are symmetric in nature.
Laura Mørch Andersen
core
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
ldr: An R Software Package for Likelihood-Based Su?cient Dimension Reduction
In regression settings, a su?cient dimension reduction (SDR) method seeks the core information in a p-vector predictor that completely captures its relationship with a response.
Kofi Placid Adragni, Andrew M. Raim
doaj +1 more source
Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring
In this paper, the evidential estimation method for the parameters of the mixed exponential distribution is considered when a sample is obtained from Type-II progressively censored data.
Kuang Zhou, Yimin Shi
doaj +1 more source
Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]
In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
core
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
The statistical analysis of circular, multivariate circular, and spherical data is very important in different areas, such as paleomagnetism, astronomy and biology.
Juan José Fernández-Durán +1 more
doaj +1 more source
Empirical Likelihood for Nonsmooth Functionals
Empirical likelihood is an attractive inferential framework that respects natural parameter boundaries, but existing approaches typically require smoothness of the functional and miscalibrate substantially when these assumptions are violated. For the optimal-value functional central to policy evaluation, smoothness holds only when the optimum is unique
openaire +2 more sources
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
Preprint.
Paul-Gauthier Noé +4 more
openaire +2 more sources

