Results 31 to 40 of about 1,300,342 (265)
Inference about the slope in linear regression: an empirical likelihood approach [PDF]
We present a new, efficient maximum empirical likelihood estimator for the slope in linear regression with independent errors and covariates. The estimator does not require estimation of the influence function, in contrast to other approaches, and is ...
Müller, Ursula U. +2 more
core +1 more source
Adjusted empirical likelihood analysis of restricted mean survival time for length-biased data [PDF]
The Restricted Mean Survival Time (RMST) serves as a valuable and extensively utilized metric in clinical trials. However, its application becomes intricate when dealing with data affected by length-biased sampling, rendering traditional inference ...
Zahra Mohammadian, Arezoo Habibi
doaj +1 more source
Empirical likelihood on the full parameter space
We extend the empirical likelihood of Owen [Ann. Statist. 18 (1990) 90-120] by partitioning its domain into the collection of its contours and mapping the contours through a continuous sequence of similarity transformations onto the full parameter space.
Tsao, Min, Wu, Fan
core +1 more source
The receiver operating characteristic (ROC) curve is a valuable statistical tool in medical research. It assesses a biomarker’s ability to distinguish between diseased and healthy individuals.
Siyan Liu +3 more
doaj +1 more source
Regenerative block empirical likelihood for Markov chains
Empirical likelihood is a powerful semi-parametric method increasingly investigated in the literature. However, most authors essentially focus on an i.i.d. setting.
Harari-Kermadec, Hugo
core +2 more sources
A Euclidean likelihood estimator for bivariate tail dependence [PDF]
The spectral measure plays a key role in the statistical modeling of multivariate extremes. Estimation of the spectral measure is a complex issue, given the need to obey a certain moment condition.
de Carvalho, Miguel +3 more
core +2 more sources
Weighted Graph-Based Two-Sample Test via Empirical Likelihood
In network data analysis, one of the important problems is determining if two collections of networks are drawn from the same distribution. This problem can be modeled in the framework of two-sample hypothesis testing.
Xiaofeng Zhao, Mingao Yuan
doaj +1 more source
Empirical and Simulated Adjustments of Composite Likelihood Ratio Statistics [PDF]
Composite likelihood inference has gained much popularity thanks to its computational manageability and its theoretical properties. Unfortunately, performing composite likelihood ratio tests is inconvenient because of their awkward asymptotic ...
Cattelan, Manuela, Sartori, Nicola
core +4 more sources
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Weak Identification Robust Tests for Subvectors Using Implied Probabilities
This paper develops tests for hypotheses concerning subvectors of parameters in models defined by moment conditions. It is well known that conventional tests such as Wald, Likelihood-ratio and Score tests tend to over-reject when the identification is ...
Marine Carrasco, Saraswata Chaudhuri
doaj +1 more source

