Results 111 to 120 of about 1,663,953 (297)
FORECASTING AIR TRAFFIC VOLUMES USING SMOOTHING TECHNIQUES
Havacılık ve Uzay Teknolojileri Dergisi, 2014 For many years, researchers have been using statistical tools to estimate parameters of macroeconomic models. Forecasting plays a major role in logistic planning and it is an essential analytical tool in countries’ air traffic strategies. In recent years,
Emrah Önder, Sultan Kuzu
doaj
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Multivariate exponential smoothing for forecasting tourist arrivals to Australia and New Zealand [PDF]
In this paper we propose a new set of multivariate stochastic models that capture time varying seasonality within the vector innovations structural time series (VISTS) framework.
Ashton de Silva, George Athanasopoulos
core
Journal of Marine Science and EngineeringDespite the pivotal role of filtering and smoothing techniques in the preprocessing of ship maneuvering data for robust identification, persistent challenges in reconciling noise suppression with dynamic fidelity preservation have limited algorithmic ...
Wancheng Yue, Junsheng Ren
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Heterogeneous Information and Appraisal Smoothing [PDF]
This study examines the heterogeneous appraiser behavior and its implication on the traditional appraisal smoothing theory. We show that the partial adjustment model is consistent with the traditional appraisal smoothing argument only when all the ...
Yingchun Liu, Zhenguo Lin, Ping Cheng
core
On the degrees of freedom of the smoothing parameter
BiometrikaSummary The smoothing parameters in a semiparametric model are estimated based on criteria such as generalized cross-validation or restricted maximum likelihood. As these parameters are estimated in a data-driven manner, they influence the degrees of freedom of a semiparametric model, based on Stein’s lemma.
Säfken, B, Kneib, Thomas, Wood, S N
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Describing the Fed's conduct with Taylor rules: is interest rate smoothing important? [PDF]
In this paper we estimate simple Taylor rules paying particular attention to interest rate smoothing. Following English, Nelson, and Sack (2002), we employ a model in first differences to gain some insights into the presence and significance of the ...
Castelnuovo, Efrem
core
LUM Smoother with Smooth Control for Noisy Image Sequences
EURASIP Journal on Advances in Signal Processing, 2001 This paper focuses on adaptive structure of LUM (lower-upper-middle) smoothers for noisy image sequences. For the balance between noise suppression and signal-detail preservation, the LUM smoothers are widely used in smoothing applications.
Lukàč Rastislav +1 more
doaj +1 more source