Results 81 to 90 of about 3,536,755 (285)
In this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses.
Shuanghua Luo, Yuxin Yan, Cheng-yi Zhang
doaj +1 more source
One-Sided Confidence Interval Estimation for Weibull Shape and Scale Parameters
In this paper, we consider the problem of one-sided conditional and unconditional interval estimation for the scale and shape parameters in a two-parameter Weibull model. The statistical inference is based upon the pivots advocated in Bain and Engelhardt,
Smail Mahdi
doaj +1 more source
Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
Panel Cointegration Testing in the Presence of a Time Trend [PDF]
The purpose of this paper is to propose a new likelihood-based panel cointegration test in the presence of a linear time trend in the data generating process. This new test is an extension of the likelihood ratio (LR) test of Saikkonen & Lütkepohl (2000)
Deniz Dilan Karaman Örsal, Bernd Droge
core
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Testing for the Monotone Likelihood Ratio Assumption [PDF]
Monotonicity of the likelihood ratio for conditioned densities is a common technical assumption in economic models. But we have found no empirical tests for its plausibility.
Hennessy, David A., Roosen, Jutta
core
Sieve Likelihood Ratio Statistics and Wilks Phenomenon
Maximum likelihood ratio theory contributes tremendous success to parametric inferences, due to the fundamental theory of Wilks (1938). Yet, there is no general applicable approach for nonparametric inferences based on function estimation. Maximum likelihood ratio test statistics in general may not exist in nonparametric function estimation setting ...
Fan, Jianqing +2 more
openaire +4 more sources
A close examination of double filtering with fold change and t test in microarray analysis
Background Many researchers use the double filtering procedure with fold change and t test to identify differentially expressed genes, in the hope that the double filtering will provide extra confidence in the results.
Cao Jing, Zhang Song
doaj +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression [PDF]
This paper provides a means of accurately simulating explosive autoregressive processes, and uses this method to analyse the distribution of the likelihood ratio test statistic for an explosive second order autoregressive process.
Bent Nielsen, J. James Reade
core

