Results 111 to 120 of about 116,790,732 (312)

Detecting Shocks in The Economic Development Dynamics of Selected Countries

Folia Oeconomica Stetinensia, 2014
The paper examines the development of the Polish economy as well as the economies of selected countries in the period from 2001 to 2012. For that purpose, models based on the GDP growth in particular countries were built.
Janiga-Ćmiel Anna
doaj   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation [PDF]

We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: mvdraws for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an egen ...
Lorenzo Cappellari, Stephen P. Jenkins
core  

Statistical Analysis of the Three-Dimensional Data of Software Metrics RFC, CBO, and WMC that are not Normally Distributed

Proceedings of the International Conference on Applied Innovations in IT
Empirical data of RFC (response for a class), CBO (coupling between object classes), and WMC (weighted methods per class) software metrics, that can be used for estimation of software quality, deviate from normality.
Sergiy Prykhodko, Lidiia Makarova, Andrii Pukhalevych   +2 more
doaj   +1 more source

Water Quality Estimation Through Machine Learning Multivariate Analysis

The paper has been accepted at Italian Workshop on Neural Networks (WIRN ...
Cardia, Marco, Chessa, Stefano, Micheli, Alessio, Giuliana Luminare, Antonella, Gambineri, Francesca   +4 more
openaire   +3 more sources

Upscaling Pulsed Laser Fragmentation in Liquids by Advanced Free‐Flow Setups

Advanced Materials Technologies, EarlyView.
Advanced flow setups providing thin colloid films are introduced to upscale pulsed laser fragmentation in liquids for sustainable nanoparticle synthesis. Their potential is demonstrated by yielding remarkably small ZnO nanoparticles of <7 nm. Numerical simulations complement the study, revealing that the superior performance can be attributed to ...
Jan Lino Kricke, Zongwen Fu, Sebastian Burgmann, Uwe Janoske, Carlos Doñate‐Buendía, Bilal Gökce   +5 more
wiley   +1 more source

Multivariate analysis in Genstat

, 1978
Genstat is a general statistical language for data analysis. The facilities for multivariate and cluster analysis within the language are described as well as the many vector and matrix operations which can be used to form multivariate analysis programs.
Banfield, C. F.
core   +1 more source

Applied Multivariate Research, v.13 no.1 (complete version)

, 2009
The first issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.Multivariate models for three dimensional data / James W ...

core   +1 more source

MODIFICATION OF THE DECOMPOSITION METHOD OF CONSTRUCTING MULTIVARIATE POLYNOMIAL REGRESSION WHICH IS LINEAR WITH RESPECT TO UNKNOWN COEFFICIENTS

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
The authors created a universal method of constructing multivariate polynomial regression given by a redundant representation. The method is synthetic, it organically combines a decomposition method and the modified group method of data handling.
Alexander Pavlov, Maxim Holovchenko, Valeriia Drozd   +2 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source