Results 21 to 30 of about 26,575,973 (337)
We present a drift–diffusion model of a perovskite solar cell (PSC) in which carrier transport in the charge transport layers (TLs) is not based on the Boltzmann approximation to the Fermi–Dirac (FD) statistical distribution, in contrast to previously ...
Will Clarke+3 more
doaj +1 more source
Assessment of final body weight and feed conversion ratio in batches of growing pigs with statistical modeling [PDF]
This study was conducted to assess prediction models for production indexes in batches of growing pigs using performance regressors (period of the year and farm size).
Anderson Luís Garla Oliveira+5 more
doaj +1 more source
Comparison and evaluation of statistical error models for scRNA-seq
Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple sources, including biological variation in cellular state as well as technical variation introduced during experimental processing.
S. Choudhary, R. Satija
semanticscholar +1 more source
Fluctuations in Statistical Models [PDF]
Proceedings of 4th International Workshop ``Critical Point and Onset of Deconfinement'', July 9-13, 2007, Darmstadt ...
openaire +3 more sources
A Systematic Comparison of Various Statistical Alignment Models
We present and compare various methods for computing word alignments using statistical or heuristic models. We consider the five alignment models presented in Brown, Della Pietra, Della Pietra, and Mercer (1993), the hidden Markov alignment model ...
F. Och, H. Ney
semanticscholar +1 more source
Paper discusses the similarities and differences in predicting the full flowering of apple tree (cv. 'Bobovec'), pear tree (cv. 'Pastorjevka') and domestic plum tree. The study was conducted at University of Ljubljana.
Klemen BERGANT+2 more
doaj +1 more source
Information Geometrical Characterization of Quantum Statistical Models in Quantum Estimation Theory [PDF]
In this paper, we classify quantum statistical models based on their information geometric properties and the estimation error bound, known as the Holevo bound, into four different classes: classical, quasi-classical, D-invariant, and asymptotically ...
J. Suzuki
semanticscholar +1 more source
An introduction to statistical learning with applications in R
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Fariha Sohil+2 more
semanticscholar +1 more source
Statistical Models for Predicting Threat Detection From Human Behavior
Users must regularly distinguish between secure and insecure cyber platforms in order to preserve their privacy and safety. Mouse tracking is an accessible, high-resolution measure that can be leveraged to understand the dynamics of perception ...
Timothy Kelley+2 more
doaj +1 more source
The adoption of conservation agriculture (CA) techniques by farmers is changing the dynamics of weed communities in cereal fields and so potentially their spatial distribution.
Jordi Izquierdo+6 more
doaj +1 more source