Results 71 to 80 of about 4,509 (203)

Review on Information Fusion‐Based Data Mining for Improving Complex Anomaly Detection

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
The performance of information fusion techniques within the framework of various anomaly detection methods applied in sensor data mining. ABSTRACT Anomaly predicated upon multiple distributed hybrid sensors frequently uses hybrid approaches, integrating techniques derived from statistical analysis, probability, data mining, machine learning, deep ...
Sorin‐Claudiu Moldovan, Laszlo Barna Iantovics   +1 more
wiley   +1 more source

An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion [PDF]

The EWMA control chart is used to detect small shifts in a process. It has been shown that, for certain values of the smoothing parameter, the EWMA chart for the mean is robust to non normality.
Maravelakis, Petros, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

PREDIKSI NILAI KURS DOLLAR AMERIKA MENGGUNAKAN EXPONENTIAL SMOOTHING DENGAN KAJIAN GRAFIK MOVING AVERAGE (MA) DAN EXPONENTIALLY WEIGHTED MOVING AVERAGE (EWMA) (Studi Kasus: Kurs Jual dan Kurs Beli Dollar Amerika) [PDF]

, 2015
The exchange rate is an exchange between two different currencies, it will receive the value or price comparisons between two currencies. It is to determine the predictive value of the exchange rate in the next period is done by using Exponential ...
GULTOM, NOVA YANTI
core  

An Exact Formula for the Average Run Length to False Alarm of the Generalized Shiryaev-Roberts Procedure for Change-Point Detection under Exponential Observations

, 2014
We derive analytically an exact closed-form formula for the standard minimax Average Run Length (ARL) to false alarm delivered by the Generalized Shiryaev-Roberts (GSR) change-point detection procedure devised to detect a shift in the baseline mean of a ...
A Novikov, A Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AN Shiryaev, AN Shiryaev, AN Shiryaev, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, B Yakir, ES Page, FF Gan, FF Gan, G Lorden, GV Moustakides, HV Poor, J DeLucia, M Pollak, M Pollak, M Pollak, M Pollak, M Woodroofe, R Kenett, R Kenett, S Knoth, S Vardeman, SW Roberts, SW Roberts, VV Veeravalli, Y Mei, Y Mevorach   +37 more
core   +1 more source

Tensor‐based process control and monitoring for semiconductor manufacturing with unstable disturbances

Naval Research Logistics (NRL), Volume 72, Issue 3, Page 356-371, April 2025.
Abstract With the development and popularity of sensors installed in manufacturing systems, complex data are collected during manufacturing processes, which brings challenges for traditional process control methods. This paper proposes a novel process control and monitoring method for the complex structure of high‐dimensional image‐based overlay errors
Yanrong Li, Juan Du, Fugee Tsung, Wei Jiang   +3 more
wiley   +1 more source

Hybrid exponentially weighted moving average control chart for mean by using different ranked set sampling schemes

Kuwait Journal of Science, 2020
In this paper different schemes of ranked set sampling (RSS) are used to design a new hybrid exponentially weighted moving average (HEWMA) control chart having more sensitivity to small and moderate shifts.The  suggested control chart  dominates ...
Muhammad Noor ul amin, Navara Shabbir, Nasrullah Khan, Afshan Riaz   +3 more
doaj  

EWMA Chart and Measurement Error [PDF]

Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control ...
Maravelakis, Petros, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri, David Banks, William S. Cleveland, Nicholas I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, Emanuela Raffinetti, Roger W. Hoerl, Dennis K. J. Lin, Ron S. Kenett, Wai Keung Li, Philip L. H. Yu, Jean‐Michel Poggi, Marco S. Reis, Gilbert Saporta, Piercesare Secchi, Rituparna Sen, Ansgar Steland, Zhanpan Zhang   +18 more
wiley   +1 more source

A Nonparametric Multivariate Control Chart Based on Data Depth [PDF]

For the design of most multivariate control charts, it is assumed that the observations follow a multivariate normal distribution. In practice, this assumption is rarely satisfied.
Hering, Franz, Messaoud, Amor, Weihs, Claus   +2 more
core  

Statistical methods for cricket team selection : a thesis presented in partial fulfilment of the requirement of the degree of Master of Applied Statistics at Massey University [PDF]

, 1999
Cricket generates a large amount of data for both batsmen and bowlers. Methods for using this data to select a cricket team are examined. Utilising the assumption that an individual's natural ability is expressed via performance outputs, this thesis ...
Bracewell, Paul J
core