Results 41 to 50 of about 376,196 (334)

On Hybrid Censored Inverse Lomax Distribution: Application to the Survival Data

Statistica, 2016
In this paper, we proposed the estimation procedures to estimate the unknown parameters, reliability and hazard functions of Inverse Lomax distribution.
Abhimanyu Singh Yadav, Sanjay Kumar Singh, Umesh Singh   +2 more
doaj   +1 more source

Statistical Analysis of Multi-Relational Network Recovery

Frontiers in Applied Mathematics and Statistics, 2020
In this paper, we develop asymptotic theories for a class of latent variable models for large-scale multi-relational networks. In particular, we establish consistency results and asymptotic error bounds for the (penalized) maximum likelihood estimators ...
Zhi Wang, Xueying Tang, Jingchen Liu
doaj   +1 more source

Estimation of Inverse Weibull Distribution Under Type-I Hybrid Censoring [PDF]

, 2020
The hybrid censoring is a mixture of Type I and Type II censoring schemes. This paper presents the statistical inferences of the Inverse Weibull distribution when the data are Type-I hybrid censored. First we consider the maximum likelihood estimators of
Azizpour, Mina, Kazemi, Mohammad
core   +2 more sources

Feasibility and Preliminary Efficacy of Integrative Neuromuscular Training for Childhood Cancer Survivors: A Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian, Robert U. Newton, Dennis R. Taaffe, Nicholas G. Gottardo, Santosh Valvi, Carolyn J. Peddle‐McIntyre, Jodie Cochrane Wilkie, Daniel A. Galvão   +7 more
wiley   +1 more source

Estimation and Testing in One-Way ANOVA when the Errors are Skew-Normal

Revista Colombiana de Estadística, 2015
We consider one-way analysis of variance (ANOVA) model when the error terms have skew- normal distribution. We obtain the estimators of the model parameters by using the maximum likelihood (ML) and the modified maximum likelihood (MML) methodologies (see,
NURI CELIK, BIRDAL SENOGLU, OLCAY ARSLAN
doaj   +1 more source

New Closed Form Estimators for the Beta Distribution

Mathematics, 2023
In this paper, we detail closed form estimators for beta distribution that are simpler than those proposed by Tamae, Irie and Kubokawa. The proposed estimators are shown to have smaller asymptotic variances and smaller asymptotic covariances compared to ...
Victor Mooto Nawa, Saralees Nadarajah
doaj   +1 more source

The Role of Invasive Procedures in the Treatment of Complicated Gastrointestinal Graft‐Versus‐Host Disease in Pediatric Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Gastrointestinal graft‐versus‐host disease (GI GVHD) following hematopoietic stem cell transplant is typically managed with medical therapy, but surgery and angioembolization may be warranted in selected cases with life‐threatening complications.
Gaia Brunetti, Giorgio Persano, Chiara Grimaldi, Pier Luigi Di Paolo, Carmen Malaspina, Francesco Quagliarella, Valerio Balassone, Anna Chiara Iolanda Contini, Gian Luigi Natali, Rita Alaggio, Ivan Pietro Aloi, Tamara Caldaro, Alessandro Crocoli   +12 more
wiley   +1 more source

Bias-Correction Methods for the Unit Exponential Distribution and Applications

Mathematics
The bias of the maximum likelihood estimator can cause a considerable estimation error if the sample size is small. To reduce the bias of the maximum likelihood estimator under the small sample situation, the maximum likelihood and parametric bootstrap ...
Hua Xin, Yuhlong Lio, Ya-Yen Fan, Tzong-Ru Tsai   +3 more
doaj   +1 more source

An Improvement in Maximum Likelihood Estimation of the Gompertz Distribution Parameters

Journal of Statistical Theory and Applications (JSTA), 2023
In this study, we will look at estimating the parameters of the Gompertz distribution. We know that the maximum likelihood technique is the most often used method in the literature for parameter estimation.
Ali A. Al-Shomrani
doaj   +1 more source

Jackknifing Maximum Likelihood Estimates

The Annals of Statistics, 1978
This paper proves the apparently outstanding conjecture that the maximum likelihood estimate (m.l.e.) "behaves properly" when jackknifed. In particular, under the usual Cramer conditions (1) the jackknifed version of the consistent root of the m.l.
openaire   +3 more sources