Results 91 to 100 of about 22,191,063 (377)
Revstat Statistical Journal, 2014 There is a vast literature on robust estimators, but in some situations it is still not easy to make inferences, such as confidence regions and hypothesis testing. This is mainly due to the following facts.
Conceição Amado +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Use of Wavelet and Bootstrap Methods in Streamflow Prediction
Journal of Mathematics, 2023 Streamflow prediction is vital to control the effects of floods and mitigation. Physical prediction model often provides satisfactory results, but these models require massive computational work and hydrogeomorphological variables to develop a prediction
Adnan Bashir +6 more
doaj +1 more source
Hysteresis in the Random Field Ising Model and Bootstrap Percolation [PDF]
, 2002 We study hysteresis in the random-field Ising model with an asymmetric distribution of quenched fields, in the limit of low disorder in two and three dimensions.
B. K. Chakrabarti +20 more
core +3 more sources
Arthritis Care &Research, EarlyView.Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko +4 more
wiley +1 more source
Bayesian-bootstrap process capability analysis for mixture model
Frontiers in Applied Mathematics and StatisticsThis research contributes valuable insights into the evaluation of process capability indices, Spmk and CPY, through the development of a mixture model of two components: Frechet distributions based on maximum likelihood and the Bayesian estimation ...
Tahira Kanwal +4 more
doaj +1 more source
Critical Ising model in varying dimension by conformal bootstrap
Journal of High Energy Physics, 2019 The single-correlator conformal bootstrap is solved numerically for several values of dimension 4 > d > 2 using the available SDPB and Extremal Functional methods.
Andrea Cappelli +2 more
doaj +1 more source
Jointly Rayleigh lifetime products in the presence of competing risks model
Open Physics, 2022 In this article, we are applying the competing risks model of product from two different lines of production. So, the comparative life test is done under type-II censoring scheme with consideration of only two independent causes of failure.
Badr Souha K., Abu-Zinadah Hanaa
doaj +1 more source
Uncertainty Quantification Under Group Sparsity
, 2017 Quantifying the uncertainty in penalized regression under group sparsity is an important open question. We establish, under a high-dimensional scaling, the asymptotic validity of a modified parametric bootstrap method for the group lasso, assuming a ...
Min, Seunghyun, Zhou, Qing
core +1 more source
Serum Soluble Mediator Signatures of Lupus Nephritis: Histologic Features and Response to Treatment
Arthritis Care &Research, EarlyView.Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histologic features and treatment response.
Andrea Fava +48 more
wiley +1 more source