Results 101 to 110 of about 151,895 (237)
A Comparison of Methods for Forecasting Demand for Slow Moving Car Parts [PDF]
This paper has a focus on non-stationary time series formed from small non-negative integer values which may contain many zeros and may be over-dispersed.
Adrian Beaumont, Ralph D. Snyder
core
MAGTWIST: A compact magnetic rotary actuator, enabling smooth, stepless rotation, and on‐demand locking. Inspired by peristalsis, a soft polymer belt generates a traveling‐wave, enabling 270° rotation when heated. Cooling stiffens the belt, locking it in position and enabling it to withstand high loads.
Simon Frieler +3 more
wiley +1 more source
This study aims to (i) develop predictive models using statistical and fuzzy approaches, and (ii) evaluate their forecasting performance. The data were obtained from www.investing.com for the period 1961 to 2017 and focus on five ASEAN countries ...
Tri Wijayanti Septiarini +3 more
doaj +1 more source
Modeling the number of unemployed in South Sumatra Province using the exponential smoothing methods. [PDF]
Gustriansyah R, Alie J, Suhandi N.
europepmc +1 more source
Exponential Smoothing Model Selection for Forecasting [PDF]
Applications of exponential smoothing to forecast time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to select the method appropriate to
Anne B Koehler +3 more
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Sustainable Catalyst‐Free PLG Networks: Recyclability, Biodegradability, and Functional Performance
A catalyst‐additive free covalent adaptable network is developed from star‐shaped poly(lactide‐co‐glycolide) cross‐linked with pyromellitic dianhydride, enabling internal carboxylic acid‐driven transesterification. The resulting biodegradable network exhibits mechanical robustness (Young's modulus ≈1.6 GPa), complete recyclability, rapid biodegradation
Lars Schwarzer +2 more
wiley +1 more source
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19. [PDF]
Zhao HM +5 more
europepmc +1 more source
Forecasting Australian Macroeconomic variables, evaluating innovations state space approaches [PDF]
Innovations state space time series models that encapsulate the exponential smoothing methodology have been shown to be an accurate forecasting tool. These models for the first time are applied to Australian macroeconomic data.
de Silva, Ashton J
core +1 more source
Exponential Sums Related to Maass Forms [PDF]
We estimate short exponential sums weighted by the Fourier coefficients of a Maass form. This requires working out a certain transformation formula for non-linear exponential sums, which is of independent interest.
Jääsaari, Jesse, Vesalainen, Esa V.
core

