Results 61 to 70 of about 73,625 (339)

Stochastic Interest Rates and Autoregressive Integrated Moving Average Processes [PDF]

open access: yesASTIN Bulletin, 1989
AbstractA practical method is developed for computing moments of insurance functions when interest rates are assumed to follow an autoregressive integrated moving average process.
openaire   +2 more sources

Forecasting daily patient outflow from a ward having no real-time clinical data

open access: yes, 2016
OBJECTIVE: Our study investigates different models to forecast the total number of next-day discharges from an open ward having no real-time clinical data.
Gopakumar, Shivapratap   +4 more
core   +2 more sources

Transfer Function Analysis: Modelling Residential Building Costs in New Zealand by Including the Influences of House Price and Work Volume [PDF]

open access: yes, 2019
An accurate cost estimate not only plays a key role in project feasibility studies but also in achieving a final successful outcome. Conventionally, estimating cost typically relies on the experience of professionals and cost data from previous projects.
Liu, Zhansheng   +3 more
core   +1 more source

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

open access: yesAdvanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku   +10 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model

open access: yesJournal of Information Systems and Informatics
Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand.
Dwi Hartanti, Hanifah Permatasari
doaj   +1 more source

Clinical and epidemiological rounds. Time series

open access: yesIatreia, 2016
Analysis of time series is a technique that implicates the study of individuals or groups observed in successive moments in time. This type of analysis allows the study of potential causal relationships between different variables that change over time ...
León-Álvarez, Alba Luz   +3 more
doaj   +1 more source

Perbandingan Akurasi Peramalan Wisatawan Mancanegara Di Provinsi Bali Menggunakan Model Autoregressive Integrated Moving Average dan Hybrid Time Series Regression-Autoregressive Integrated Moving Average

open access: yesProsiding Seminar Pendidikan Matematika dan Matematika, 2023
Ancaman resesi ekonomi menyebabkan Indonesia perlu memperkuat cadangan devisa negara yang salah satunya ada pada sektor pariwisata. Perkembangan pariwisata khususnya di Provinsi Bali sangat ditentukan oleh jumlah wisatawan khususnya wisatawan mancanegara.
Safira Nanda Pradhina   +2 more
openaire   +1 more source

Peramalan Jumlah Mahasiswa Baru dengan Model Autoregressive Integrated Moving Average (Arima) [PDF]

open access: yes, 2017
Peramalan jumlah mahasiswa baru merupakan salah satu hal yang dapat dipakai untuk bahan perencanaan proses belajar mengajar, oleh karena itu perlu dilakukan prediksi jumlah mahasiswa baru. Penelitian ini dilakukan di kampus STMIK Pradnya Paramita Malang.
As’ad, M. (Mohamad)   +2 more
core  

Modeling volatility in heat rate variability [PDF]

open access: yes, 2016
Modeling Heart Rate Variability (HRV) data has become important for clinical applications and as a research tool. These data exhibit long memory and time-varying conditional variance (volatility).
Leite, A, Maria Eduarda Silva, Rocha, AP
core   +1 more source

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