Results 71 to 80 of about 153,046 (296)
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
core
Advanced Functional Materials, EarlyView.Gold bipyramids can act as efficient plasmonic nanoheaters, but they often reshape during laser heating. This study shows that oxygen nanobubbles drive oxidative etching and that surface ligands control stability. CTAB‐ and citrate‐coated particles blunt and lose optical performance, whereas polystyrene sulfonate preserves shape and heating by ...
Irene López‐Sicilia +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Interphase chemistry governs the stability of multivalent metal batteries. We summarize state‐of‐the‐art developments in calcium and magnesium metal batteries by focusing on the correlation among electrolytes, interphase layers, and the electrochemical performance of corresponding metal anodes.
Huijun Lin +4 more
wiley +1 more source
Exponential Smoothing: A Prediction Error Decomposition Principle [PDF]
In the exponential smoothing approach to forecasting, restrictions are often imposed on the smoothing parameters which ensure that certain components are exponentially weighted averages.
Ralph D. Snyder
core
Generalized additive modelling with implicit variable selection by likelihood based boosting [PDF]
, 2004 The use of generalized additive models in statistical data analysis suffers from the restriction to few explanatory variables and the problems of selection of smoothing parameters.
Binder, Harald, Tutz, Gerhard
core +2 more sources
Advanced Functional Materials, EarlyView.Terminal domains of recombinant collagen‐like silk regulate hierarchical self‐assembly across molecular and material scales. We show that terminal domains of collagen‐like silk enhance triple‐helix stability and drive liquid–liquid phase separation, enabling reversible formation of fibers and self‐healing films.
Mengjie Shen +5 more
wiley +1 more source
RAINFALL FORECASTING WITH AN INTERMITTENT APPROACH USING HYBRID EXPONENTIAL SMOOTHING NEURAL NETWORK
BarekengRainfall forecasting is crucial in agriculture, water resource management, urban planning, and disaster preparation. Traditional approaches fail to capture complicated and intermittent rainfall patterns.
Regita Putri Permata +2 more
doaj +1 more source
Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand [PDF]
Exponential smoothing is often used to forecast lead-time demand for inventory control. In this paper, formulae are provided for calculating means and variances of lead-time demand for a wide variety of exponential smoothing methods. A feature of many of
Anne B. Koehler +3 more
core
Прогнозирование финансовых данных на основании экспоненциального сглаживания [PDF]
, 2014 The article begins with the formulation for predictive learning called exponential smoothing forecasting. The exponential smoothing is commonly applied to financial markets such as stock or bond, foreign exchange, insurance, credit, primary and secondary
Kuzhda, Tetyana Ivanivna +2 more
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Advanced Functional Materials, EarlyView.We report phosphine‐oxide interlayers for wide‐bandgap perovskite solar cells, in which tuned P = O Lewis basicity enables selective passivation of buried NiOx/perovskite interfaces and introduces interfacial dipoles that strengthen the built‐in field.
JeeHee Hong +6 more
wiley +1 more source