Results 21 to 30 of about 2,627,672 (111)
Confidence interval estimation is important in statistical inference for the parameters of the regression model, but the theory of confidence interval estimation for multi-response semiparametric regression model parameters based on the truncated spline ...
Lilik Hidayati +2 more
doaj +1 more source
The Effects of Global Financial Crises on the Trade Patterns of Iran and its Partners: Pseudo Poisson MLE Method [PDF]
The negative consequences of financial crises require the attention of economic policymakers and decision making centers.Therefore, considering the importance of the subject, the present study has investigated the effects of global financial crises on ...
Seyedeh Marveh Nasersadrabadi +3 more
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Finite Mixtures of Generalized Linear Regression Models [PDF]
Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün +3 more
core +1 more source
BackgroundThe maintenance of blood pressure is pivotal in preventing sepsis with acute kidney injury (AKI). Especially in sepsis patients treated with vasopressors. The optimal the blood pressure has been controversial to maintain renal perfusion.
Lina Zhao +8 more
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Functional generalized empirical likelihood estimation for conditional moment restrictions [PDF]
Important problems in causal inference, economics, and, more generally, robust machine learning can be expressed as conditional moment restrictions, but estimation becomes challenging as it requires solving a continuum of unconditional moment ...
Muandet, Krikamol +3 more
core +1 more source
Nonparametric Estimation of the Link Function Including Variable Selection [PDF]
Nonparametric methods for the estimation of the link function in generalized linear models are able to avoid bias in the regression parameters. But for the estimation of the link typically the full model, which includes all predictors, has been used ...
Petry, Sebastian, Tutz, Gerhard
core +1 more source
The Reliability Inference for Multicomponent Stress–Strength Model under the Burr X Distribution
The reliability of the multicomponent stress–strength system was investigated under the two-parameter Burr X distribution model. Based on the structure of the system, the type II censored sample of strength and random sample of stress were obtained for ...
Yuhlong Lio +3 more
doaj +1 more source
Machine Learning Approaches for Short-Range Wind Power Estimation: A Perspective [PDF]
The evolution of wind energy production, especially in near and offshore farms, has seen significant advancements due to the integration of novel technologies and the reduction in economic costs.
Kazem Al-Samalek Ahmed Saleh Mahdi +5 more
doaj +1 more source
Entropy is a fundamental measure of uncertainty in reliability and lifetime analysis, and the structure of the observed data intrinsically influences its estimation. In many practical applications, inference relies on ordered or record-based samples, for
Zakiah I. Kalantan +6 more
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Introduction: Stress-strength models has achieved considerable attention in recent years due to its applicability in various areas like engineering, quality control, biology, genetics, medicine etc.
Sajad Rostamian
doaj +1 more source

