Results 41 to 50 of about 373,692 (326)

Multivariate Estimation of Poisson Parameters

, 2019
This paper is devoted to the multivariate estimation of a vector of Poisson means. A novel loss function that penalises bad estimates of each of the parameters and the sum (or equivalently the mean) of the parameters is introduced.
Hjort, Nils Lid, Stoltenberg, Emil Aas
core   +1 more source

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy, Elizabeth L. Seashore, W. Susan Cheng, Shondra Clay, Jessica A. Casas, Jennifer H. Foster   +5 more
wiley   +1 more source

Criterion‐Related Validity of the Neuropsychological Quick Assessment for Screening Cognitive, Motor, and Behavioral Impairments in Patients With Pediatric Brain Tumors: An Observational Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata, Keita Ueda, Tsukasa Ueno, Katsutsugu Umeda, Kentaro Ueno, Kanade Tanaka, Noyuri Nishida, Rie Yamawaki, Megumi Nukui, Yoshiki Arakawa   +9 more
wiley   +1 more source

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

Breakdown points for maximum likelihood estimators of location-scale mixtures [PDF]

, 2004
ML-estimation based on mixtures of Normal distributions is a widely used tool for cluster analysis. However, a single outlier can make the parameter estimation of at least one of the mixture components break down. Among others, the estimation of mixtures
Hennig, Christian
core   +2 more sources

Alveolar Soft Part Sarcoma in Pediatric and Young Adult Patients: A Report From the Children's Oncology Group Study ARST0332

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Alveolar soft part sarcoma (ASPS) is a rare soft tissue sarcoma occurring most commonly in adolescence and young adulthood. Methods We present the clinical characteristics, treatments, and outcomes of patients with newly diagnosed ASPS enrolled on the Children's Oncology Group study ARST0332.
Jacquelyn N. Crane, Wei Xue, Amira Qumseya, Thomas Scharschmidt, Kathryn R. Tringale, Oscar Lopez Nunez, Jiaqi Hu, Donald A. Barkauskas, Rajkumar Venkatramani, Sheri L. Spunt, Aaron R. Weiss, Noah C. Federman   +11 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

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