Results 31 to 40 of about 220,289 (265)

Moving averages of ergodic processes

open access: yesMetrika, 1977
A necessary and sufficient condition for the almost everywhere convergence of the “moving” ergodic averages\((\Phi (n))^{ - 1} \mathop \Sigma \limits_{i = n - \Phi (n) + 1}^n x_E (T^i x)\) is given. The result is then generalized to ergodic flows, and finally constrasted with earlier results ofPfaffelhuber andJain.
Junco, A. del, Steele, J.M.
openaire   +2 more sources

New modified exponentially weighted moving average-moving average control chart for process monitoring

open access: yesConnection Science, 2022
The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we proposed the modified exponentially weighted moving average - moving average control chart (MMEM), a new mixed control chart for observing the changes in the process mean. Average run length, standard deviation of run length, and median run
Khanittha Talordphop   +2 more
openaire   +2 more sources

Continuous Time Autoregressive Moving Average Processes Driven by Semi-Levy Process

open access: yesپژوهش‌های ریاضی, 2020
Introduction A flexible and tractable class of linear models is Autoregressive moving average (ARMA) process that are in effect of discrete noises.  The continuous time ARMA (CARMA) processes have wide applications in many data modeling where are more ...
Navideh Modarresi   +2 more
doaj  

Linear Stochastic Models in Discrete and Continuous Time

open access: yesEconometrics, 2020
The econometric data to which autoregressive moving-average models are commonly applied are liable to contain elements from a limited range of frequencies. If the data do not cover the full Nyquist frequency range of [0,π] radians, then severe biases can
D. Stephen G. Pollock
doaj   +1 more source

Modeling process asymmetries with Laplace moving average [PDF]

open access: yesComputational Statistics & Data Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicolas Raillard   +2 more
openaire   +2 more sources

Complete convergence for weighted sums of pairwise independent random variables

open access: yesOpen Mathematics, 2017
In the present paper, we have established the complete convergence for weighted sums of pairwise independent random variables, from which the rate of convergence of moving average processes is deduced.
Ge Li, Liu Sanyang, Miao Yu
doaj   +1 more source

Detection of Mutual Exciting Structure in Stock Price Trend Dynamics

open access: yesEntropy, 2021
We investigated a comprehensive analysis of the mutual exciting mechanism for the dynamic of stock price trends. A multi-dimensional Hawkes-model-based approach was proposed to capture the mutual exciting activities, which take the form of point ...
Shangzhe Li   +4 more
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei   +17 more
wiley   +1 more source

Jeffrey's divergence between autoregressive moving-average processes [PDF]

open access: yes2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Leo Legrand   +2 more
openaire   +1 more source

Sociodemographic Factors Associated With Later Stage at Diagnosis of Pediatric Germ Cell Tumors: A Report From Children's Oncology Group Registries ACCRN07 and APEC14B1

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas   +7 more
wiley   +1 more source

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