Results 111 to 120 of about 105,549 (303)

Prediksi Harga Saham PT. Bri, Tbk. Menggunakan Metode Arima (Autoregressive Integrated Moving Average) [PDF]

open access: yes, 2014
PREDIKSI HARGA SAHAM PT. BRI, Tbk. MENGGUNAKAN METODE ARIMA (Autoregressive Integrated Moving Average) Greis S. Lilipaly1) , Djoni Hatidja1) , John S.
Hatidja, D. (Djoni)   +2 more
core  

Electromyography Frequency Spectrum Is a Better Indicator of Sleep Bruxism Severity Related to Temporomandibular Disorder Pain Than Conventional Masticatory Muscle Activation and Bruxism Time Indices—A Pilot Study

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Sleep bruxism (SB) has been reportedly associated with temporomandibular disorder (TMD); however, solid evidence is lacking. Previous studies have primarily used traditional metrics, such as the masticatory muscle activity (MMA) index and bruxism time index (BTI) to investigate the link between SB and TMD.
Minna Pitkänen   +8 more
wiley   +1 more source

PENGARUH VOLUME PERDAGANGAN SAHAM, NILAI TUKAR DAN INDEKS HANG SENG TERHADAP PERGERAKAN INDEK HARGA SAHAM GABUNGAN

open access: yesJurnal Ilmiah Akuntansi dan Bisnis, 2014
ABSTRAK Pada pemodelan TARCH (2,2) dapat dibuktikan bahwa volume perdagangan saham berpengaruh positif dan signifikan terhadap IHSG. Indeks Hang Seng berpengaruh positif dan signifikan terhadap IHSG.
Fikri Mutakif, Andini Nurwulandari
doaj  

Estimation of Change Points for Non‐Linear (Auto‐)Regressive Processes Using Neural Network Functions

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT In this paper, we propose a new test for the detection of a change in a non‐linear (auto‐)regressive time series as well as a corresponding estimator for the unknown time point of the change. To this end, we consider an at‐most‐one‐change model and approximate the unknown (auto‐)regression function by a neural network with one hidden layer. It
Claudia Kirch, Stefanie Schwaar
wiley   +1 more source

Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population

open access: yesInfection and Drug Resistance, 2019
Zhongqi Li,1,2 Zhizhong Wang,3 Huan Song,1 Qiao Liu,1 Biyu He,1 Peiyi Shi,1 Ye Ji,1 Dian Xu,1 Jianming Wang1,21Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People’s Republic of ...
Li Z   +8 more
doaj  

On the Fourier Residual Modification of Arima Models in Modeling Malaria Incidence Rates among Pregnant Women [PDF]

open access: diamond, 2020
Chinonso Micheal Eze   +4 more
openalex   +1 more source

Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT The problem of selecting the smoothing parameter, or bandwidth, for kernel‐based estimators of time‐varying coefficients in linear models with possibly endogenous explanatory variables is considered. We examine automated bandwidth selection by means of cross‐validation, a nonparametric variant of Akaike's information criterion, and bootstrap ...
Charisios Grivas, Zacharias Psaradakis
wiley   +1 more source

A new mixed multiplicative-additive model for seasonal adjusment [PDF]

open access: yes
Usually, seasonal adjustment is based on time series models which decompose an unadjusted series into the sum or the product of four unobservable components (trendcycle, seasonal, working-day and irregular components).
Arz, Stephanus
core  

PERBANDINGAN MODEL ARIMA PADA DATA SPASIAL TRAFIK INTERNET AGREGAT [PDF]

open access: yes, 2011
Pengukuran data spasial trafik internet dilakukan secara agregat selama 46 hari dengan mengambil 4 lokasi pengukuran trafik internet di kampus Universitas Surabaya yaitu Fakultas Bisnis dan Ekonomika, Fakultas Teknik, Perpustakaan dan Kampus Ubaya ...
Budimulyono, Febrianto   +4 more
core  

Online Detection of Forecast Model Inadequacies Using Forecast Errors

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT In many organizations, accurate forecasts are essential for making informed decisions in a variety of applications, from inventory management to staffing optimization. Whatever forecasting model is used, changes in the underlying process can lead to inaccurate forecasts, which will be damaging to decision‐making.
Thomas Grundy   +2 more
wiley   +1 more source

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