Results 81 to 90 of about 421,961 (294)

PERAMALAN NILAI TUKAR PETANI PROVINSI ACEH: DITINJAU DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN HOLT WINTER

Jurnal Lebesgue
This research aimed to compare the performance of the Double Exponential Smoothing and Holt-Winter methods in forecasting the Farmer Exchange Rate (NTP) for the Horticulture Farmer Subsector in Aceh Province.
Zulfa Razi, Mirunnisa Mirunnisa, Maryanti Maryanti, Nurhayati Nurhayati   +3 more
doaj   +1 more source

Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing [PDF]

This paper concerns the forecasting of seasonal intraday time series. An extension of Holt-Winters exponential smoothing has been proposed that smoothes an intraday cycle and an intraweek cycle.
Ralph D. Snyder, James W. Taylor
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Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

Forecasting time series with complex seasonal patterns using exponential smoothing [PDF]

A new innovations state space modeling framework, incorporating Box-Cox transformations, Fourier series with time varying coefficients and ARMA error correction, is introduced for forecasting complex seasonal time series that cannot be handled using ...
Alysha M De Livera, Rob J Hyndman
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Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 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
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Al3+/Ta5+ Co‐Doping Promotes Homogeneous Li+ Transport Enabling High Performance Ni‐Rich Layered Oxide Cathodes

Advanced Functional Materials, EarlyView.
Al3+/Ta5+ co‐doping refines the primary particles of LiNiO2, reduces Li/Ni antisite disorder, and expands the c‐axis lattice parameter, thereby enabling faster and more homogeneous Li+ transport. Such rapid and homogeneous Li+ transport suppresses high‐voltage phase transitions and microcrack formation, ultimately improving the rate capability and long‐
Yanhao Ren, Zezhou Lin, Zhaowen Bai, Wei Wang, Yangqian Zhang, Jihao Zhang, Qingyu Kong, Yisen Xu, Jiaqi Wu, Fengting Ye, Haitao Huang, Yang Ren   +11 more
wiley   +1 more source

Automatic time series forecasting: the forecast package for R. [PDF]

Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R.
Rob J. Hyndman, Yeasmin Khandakar
core   +2 more sources

A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods. [PDF]

We provide a new approach to automatic business forecasting based on an extended range of exponential smoothing methods. Each method in our taxonomy of exponential smoothing methods can be shown to be equivalent to the forecasts obtained from a state ...
Grose, S., Hyndman, R.J., Koehler, A.B., Snyder, R.D.   +3 more
core  

COMPARATION ON SEVERAL SMOOTHING METHODS IN NONPARAMETRIC REGRESSION [PDF]

, 2011
There are three nonparametric regression methods covered in this section. These are Moving Average Filtering-Based Smoothing, Local Regression Smoothing, and Kernel Smoothing Methods.
Isnanto, R.Rizal, Rizal Isnanto, R
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