Results 21 to 30 of about 2,627,672 (111)

ESTIMASI SELANG KEPERCAYAAN NILAI UJIAN NASIONAL BERBASIS KOMPETENSI BERDASARKAN MODEL REGRESI SEMIPARAMETRIK MULTIRESPON TRUNCATED SPLINE

open access: yesMedia Statistika, 2020
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]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2023
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
doaj   +1 more source

Finite Mixtures of Generalized Linear Regression Models [PDF]

open access: yes, 2007
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

The blood pressure targets in sepsis patients with acute kidney injury: An observational cohort study of multiple ICUs

open access: yesFrontiers in Immunology, 2022
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
doaj   +1 more source

Functional generalized empirical likelihood estimation for conditional moment restrictions [PDF]

open access: yes, 2022
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]

open access: yes, 2010
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

open access: yesAppliedMath
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]

open access: yesE3S Web of Conferences
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

Impact of Generalized Order Statistics and Its Dual on Entropy Estimation for the Exponentiated Generalized Pham Distribution: Theory and Applications

open access: yesEntropy
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
doaj   +1 more source

Stress-Strength Reliability of Two-Parameter Exponential Distribution Based on Progres- sively Type-II Censored Data

open access: yesJournal of Biostatistics and Epidemiology
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

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