Results 41 to 50 of about 4,545 (215)

A Comparative Study on a Triple-Concept Model of Two Techniques for Monitoring the Mean of Stationary Processes [PDF]

open access: yesInternational Journal of Industrial Engineering and Production Research, 2021
In recent years, it has been proven that integrating statistical process control, maintenance policy, and production can bring more benefits for the entire production systems.
Samrad Jafarian-Namin   +4 more
doaj  

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang   +3 more
wiley   +1 more source

ARMA Modelling for Whispered Speech

open access: yesJournal of Measurement Science and Instrumentation, 2010
The Autoregressive Moving Average(ARMA)model for whispered speech is proposed.Compared with normal speech,whispered speech has no fundamental frequency because of the glottis being semi-opened and turbulent flow being created,and formant shifting exists ...
Xue-li LI, Wei-dong ZHOU
doaj  

Forbs in Viking lands: the effect of disturbing dominant graminoids on recruitment in tundra grasslands

open access: yesOikos, EarlyView.
Grasslands, by definition, are dominated by graminoids. Nevertheless, forbs also make up a substantial part of vascular plant diversity in grasslands and are important resources of mammalian herbivores. However, forb recruitment is constrained by successful dominant graminoids, limiting access to safe sites for germination.
Gerardo Celis   +5 more
wiley   +1 more source

Modelling The Volatility of Frankfurt Stock Exchange (DAX) Returns Using hybrid Models [PDF]

open access: yesFinancial Markets, Institutions and Risks
Recently, the interest of researchers in the use of hybrid models in the process of analyzing model time series with fluctuations and forecasting fluctuations in financial time series has increased significantly. Hybrid ARMA-GARCH models were created for
Hadj Khelifa   +2 more
doaj   +1 more source

Factor ARMA representation of a Markov process [PDF]

open access: yesEconomics Letters, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Darolles, Serge   +2 more
openaire   +5 more sources

Snapshots of Motion: A Novel Structural Intermediate Reveals Conserved Dynamics in Archaeal DNA Ligases

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT We present the first x‐ray crystallographic structural evidence of an archaeal DNA ligase showing the AMP covalent adduct together with further cofactor hydrolysis, capturing a transient intermediary in the first step of the ligation reaction, triggered by the pyrophosphate hydrolysis.
A. X. Quintana‐Armas   +3 more
wiley   +1 more source

Effect of Postweld Heat Treatment on Laser‐Welded Duplex Stainless Steel: Crystallographic Patterns and Fatigue Behavior

open access: yessteel research international, EarlyView.
Laser welding of duplex stainless steel disrupts phase balance, promotes nitride precipitation, and reduces fatigue resistance. Postweld heat treatment restores austenite and dissolves nitrides, but the resulting crystallography and phase morphology still impair fatigue performance.
Aparecida Silva Magalhães   +6 more
wiley   +1 more source

Some Algorithms for the Conditional Mean Vector and Covariance Matrix

open access: yesJournal of Statistical Software, 2006
We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing.
John F. Monahan
doaj  

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen   +7 more
wiley   +1 more source

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