Three estimators for the poisson regression model with measurement errors [PDF]
, 2004 Alexander Kukush +2 more
openalex +1 more source
Personalized Kirigami Strain Sensors for in vivo Applications
Advanced Intelligent Systems, EarlyView.Rapid prototyping of strain sensors is demonstrated using a laser cutter that both converts carbon‐based material to strain responsible graphene and generates cuts in a kirigami‐style pattern that allows enhanced substrate flexibility. This method is used to generate wearable sensors for monitoring heart rate, limb/finger motion, and abdominal ...
Siheng Sean You +7 more
wiley +1 more source
Identification of Fertility Preference Determinants Using Poisson Regression
مجله اپیدمیولوژی ایران, 2017 Background and Objectives: Changes in ideals and aspirations of childbearing are important factors in fertility behavior. Nowadays, fertility rate reduction below the replacement level and decreased childbearing ideals are the most common fertility ...
A Bagheri +2 more
doaj
Modelling fertility levels in Nigeria using Generalized Poisson regression-based approach
Scientific African, 2020 The rapid increase in total children ever born without a proportionate growth in the Nigerian economy has been a major concern. The total children ever born, being a count data, requires applying an appropriate regression model.
Jecinta U. Ibeji +3 more
doaj
A Poisson regression model approach to predicting tropical cyclogenesis in the Australian/southwest Pacific Ocean region using the SOI and saturated equivalent potential temperature gradient as predictors [PDF]
, 2004 Katrina A. McDonnell, Neil J. Holbrook
openalex +1 more source
Count Data in Medical Research: Poisson Regression and Negative Binomial Regression.
Anesthesia and Analgesia, 2021 P. Schober, T. Vetter
semanticscholar +1 more source
Nanomechanical Systems for Reservoir Computing Applications
Advanced Intelligent Systems, EarlyView.Nanoelectromechanical systems (NEMS) are known for their strong nonlinear response, which can be conducive for reservoir computing. In this work, the authors build an NEMS‐based reservoir and investigate the classification accuracy as a function of drive levels and operation points.
Enise Kartal +7 more
wiley +1 more source
Be wary of using Poisson regression to estimate risk and relative risk
, 2018 Fitting a log binomial model to binary outcome data makes it possible to estimate risk and relative risk for follow-up data, and prevalence and prevalence ratios for cross-sectional data.
C. Zhu +4 more
semanticscholar +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
Advanced Intelligent Systems, EarlyView.AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel +7 more
wiley +1 more source
On the inconsistency of the MLE in certain heteroskedastic regression models [PDF]
This paper studies the possibility of inconsistency of the maximum likelihood estimators for certain heteroskedastic regression models. These include the Poisson regression model and the ARCH models.
Adrián R. Pagan, Hernán Sabau
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