Results 91 to 100 of about 12,339 (203)
Battery state-of-health (SoH) estimation is central to transportation electrification because it conditions safety limits, warranty accounting, power capability management, and long-horizon fleet optimization.
Kumbirayi Nyachionjeka +1 more
doaj +1 more source
Some Properties of a Recently Introduced Approach to Ordinal Regression
The statistical properties of a novel approach to ordinal regression which was only recently introduced in the literature are discussed. It is shown that for ordinal explanatory variables the approach is equivalent to isotonic regression, with some ...
Florian Frommlet
doaj +1 more source
Isotonic regression for metallic microstructure data: estimation and testing under order restrictions. [PDF]
Vittorietti M +4 more
europepmc +1 more source
Dose Optimization Design for Randomized Phase II Trials With Toxicity and Efficacy Endpoints
ABSTRACT Several study designs for identifying optimal biological dose (OBD) have been proposed for phase I, II, and I/II clinical trials, considering toxicity and efficacy of anticancer drugs, especially molecular‐targeted therapies and immune checkpoint inhibitors.
Ryuta Tabata +2 more
wiley +1 more source
The rapid development of lithium-ion (Li-ion) batteries has raised requirements for cycle life prediction to ensure safety and reliability. However, the intricate and nonlinear behavior of the battery degradation process poses significant challenges in ...
Muhammad Arslan Khan +2 more
doaj +1 more source
The median effective concentration of ropivacaine for ultrasound-guided anterior iliopsoas muscle space block in the elderly undergoing hip surgery: a dose-finding study [PDF]
Background In order to improve perioperative pain and reduce the adverse outcome of severe pain in elderly hip fractures, anterior iliopsoas muscle space block (AIMSB) can be used clinically to reduce pain.
Peng Ma +5 more
doaj +2 more sources
Patient‐level validation in ECG abnormality classification demonstrates that detailed evaluation (including monotonic decline patterns, learning convergence, and precision‐recall calibration across partitions) is vital for clinical deployment. Aggregate accuracy metrics alone mask critical generalization instabilities, highlighting the need for process‐
Sungjoon Hong +5 more
wiley +1 more source
Bayesian Inference for Multivariate Monotone Densities
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
Abstract BACKGROUND Plant‐based proteins, such as hazelnut protein isolates (HPIs), often exhibit limited solubility and functionality, as well as allergenic potential, thereby limiting their applicability in food products. This investigation sought to improve the techno‐functional characteristics of HPI and mitigate its allergenicity via high‐pressure
Ilyas Atalar +5 more
wiley +1 more source
Published at http://dx.doi.org/10.1214/074921707000000355 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
Mammen, Enno, Yu, Kyusang
openaire +4 more sources

