Results 11 to 20 of about 1,737,261 (319)
Robust Bayesian Inference in Finite Population Sampling under Balanced Loss Function
Communications for Statistical Applications and Methods, 2014 Summary: In this paper we develop Bayes and empirical Bayes estimators of the finite population mean with the assumption of posterior linearity rather than normality of the superpopulation under the balanced loss function. We compare the performance of the optimal Bayes estimator with ones of the classical sample mean and the usual Bayes estimator ...
Kim, Eunyoung, Kim, Dal Ho
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Breakpoint-resolved balanced t(2;12)(q35;q24.31) disrupting HNF1A in multigenerational MODY-3: Diagnostic utility of long-read genome sequencing and therapeutic impact [PDF]
Metabolism OpenBalanced translocations that interrupt HNF1A are seldom documented in MODY-3. We studied a three-generation family with early-onset, non-autoimmune diabetes consistent with MODY-3.
Pamela Rivero-García +9 more
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IoU-Balanced loss functions for single-stage object detection [PDF]
Pattern Recognition Letters, 2022 Single-stage object detectors have been widely applied in computer vision applications due to their high efficiency. However, we find that the loss functions adopted by single-stage object detectors hurt the localization accuracy seriously. Firstly, the standard cross-entropy loss for classification is independent of the localization task and drives ...
Wu, Shengkai +3 more
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On shrinkage estimation for balanced loss functions [PDF]
Journal of Multivariate Analysis, 2020 15 ...
Marchand, Éric, Strawderman, William E.
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International Workshop on Semantic Evaluation, 2023 The Human Value Detection shared task\cite{kiesel:2023} aims to classify whether or not the argument draws on a set of 20 value categories, given a textual argument. This is a difficult task as the discrimination of human values behind arguments is often
Longxuan Ma +3 more
semanticscholar +1 more source
On Minimaxity and Limit of Risks Ratio of James-Stein Estimator Under the Balanced Loss Function
Kragujevac Journal of Mathematics, 2023 The problem of estimating the mean of a multivariate normal distribution by different types of shrinkage estimators is investigated. Under the balanced loss function, we establish the minimaxity of the James-Stein estimator.
Abdenour Hamdaoui +2 more
semanticscholar +1 more source
Analysis of information measures using generalized type-Ⅰ hybrid censored data
AIMS Mathematics, 2023 An entropy measure of uncertainty has a complementary dual function called extropy. In the last six years, this measure of randomness has gotten a lot of attention. It cannot, however, be applied to systems that have survived for some time.
Baria A. Helmy +4 more
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Mathematical Problems in Engineering, 2021 The main contribution of this work is to develop a linear exponential loss function (LINEX) to estimate the scale parameter and reliability function of the inverse Weibull distribution (IWD) based on lower record values.
Fuad S. Al-Duais
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Estimating Two Parameters of Lomax Distribution by Using the Upper Recorded Values under Two Balanced Loss Functions [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 In this paper, two lomax distribution parameters are estimated along with the estimation of the reliability function under two balanced loss functions: the balanced squared error function and balanced linex loss function.
Enas Ghanem Abd alkader, Ray Al-Rassam
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On shrinkage estimators improving the James-Stein estimator under balanced loss function
Pakistan Journal of Statistics and Operation Research, 2021 In this paper, we are interested in estimating a multivariate normal mean under the balanced loss function using the shrinkage estimators deduced from the Maximum Likelihood Estimator (MLE).
Abdenour Hamdaoui +2 more
semanticscholar +1 more source