Results 101 to 110 of about 173,639,131 (247)

Missing covariates in logistic regression, estimation and distribution selection. [PDF]

We derive explicit formulae for estimation in logistic regression models where some of the covariates are missing. Our approach allows for modeling the distribution of the missing covariates either as a multivariate normal or multivariate t-distribution.
Claeskens, Gerda, Consentino, Fabrizio
core  

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

Energies, 2014
Remaining useful life (RUL) prediction is central to the prognostics and health management (PHM) of lithium-ion batteries. This paper proposes a novel RUL prediction method for lithium-ion batteries based on the Wiener process with measurement error ...
Shengjin Tang, Chuanqiang Yu, Xue Wang, Xiaosong Guo, Xiaosheng Si   +4 more
doaj   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

An On-Line Energy Management Strategy for Plug-in Hybrid Electric Vehicles Using an Estimation Distribution Algorithm [PDF]

DOT 69A3551747114Citation: Xuewei Qi, G. Wu, K. Boriboonsomsin and M. J. Barth, "An on-line energy management strategy for plug-in hybrid electric vehicles using an Estimation Distribution Algorithm," 17th International IEEE Conference on Intelligent ...
Wu, Guoyuan, National Center for Sustainable Transportation (NCST), Barth, Matthew J., Qi, Xuewei, Boriboonsomsin, Kanok, University of California, Davis, Institute of Transportation Studies   +5 more
core   +1 more source

A new algorithm for latent state estimation in nonlinear time series models [PDF]

, 2008
We consider the problem of optimal state estimation for a wide class of nonlinear time series models. A modified sigma point filter is proposed, which uses a new procedure for generating sigma points.
Mamon, R, Date, P, Jalen, L
core   +3 more sources

A TIME-OPTIMAL ALGORITHM FOR THE ESTIMATION OF CONTACT DISTRIBUTION FUNCTIONS OF RANDOM SETS

Image Analysis and Stereology, 2011
This paper presents a linear-time and therefore time-optimal algorithm for the estimation of distance distribution functions and contact distribution functions of random sets.
Johannes Mayer
doaj   +1 more source

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu, Jie‐Jie Li, Jing Jing, Jin‐Xi Lin, Xia Meng, Yong Jiang, Yong‐Jun Wang, Hong‐Qiu Gu   +7 more
wiley   +1 more source

A Hybrid Immune-Estimation Distribution Of Algorithm For Mining Thyroid Gland Data

, 2010
In this paper we combine the main concepts of estimation of distribution algorithms (EDAs) and immune algorithms (IAs) to be a hybrid algorithm called immune-estimation of distribution algorithms (IEDA).
Chang, W, Yeh, W, Huang, PC, Wei-Wen Chang, Wei-Chang Yeh, Pei-Chiao Huang   +5 more
core   +1 more source

Bayesian estimation for alpha power Weibull model under adaptive progressive censoring: a comparative study of Metropolis-Hastings and Hamiltonian Monte Carlo methods

Applied Mathematics in Science and Engineering
The alpha power Weibull distribution is a flexible generalization of the classical Weibull distribution that is capable of modeling a wide variety of data behaviors through its ability to accommodate multiple shapes of the hazard rate function.
Mazen Nassar, Refah Alotaibi
doaj   +1 more source