Results 211 to 220 of about 30,909 (252)

The sonic energy of background music impacts cognitive performances: a behavioral and physiological investigation. [PDF]

Cogn Res Princ Implic
Gigliotti MF, Lauret D, Delevoye-Turrell YN.   +2 more
europepmc   +1 more source

Coral records exaggerate past decadal tropical climate variability

Dolman A, McPartland M, Felis T, Laepple T.   +3 more
europepmc   +1 more source

Foraging as an ethological framework for neuroscience.

Trends Neurosci
Grima LL, Haberkern H, Mohanta R, Morimoto MM, Rajagopalan AE, Scholey EV.   +5 more
europepmc   +1 more source

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Max-Chart for Autocorrelated Processes

Economic Quality Control, 2007
Summary: Statistical process control procedures are usually implemented under the assumption that the observations from a process are independent over time. However, this assumption is often violated. Therefore, we propose a single Shewhart-type control chart for autocorrelated processes by fitting a time series model into the process and monitoring ...
Thaga, K., Kgosi, P. M., Gabaitiri, L.
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Two Extremal Autocorrelated Arrival Processes

Probability in the Engineering and Informational Sciences, 1997
Extremal arrival processes, in the sense of increasing convex order of waiting time of queueing systems, are investigated. Two types of extremal processes are proposed: one in the class of processes that have identical marginal distributions and the other in the class of bounded stochastic processes that have the same mean and covariance structure. The
Toyoizumi, Hiroshi, Shanthikumar, J. George, Wolff, Ronald W.   +2 more
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Statistical process control on autocorrelated process

2013 10th International Conference on Service Systems and Service Management, 2013
Statistical process control techniques have found widespread application in industry for process improvement and for estimating process parameters or determining capability. Unfortunately, the assumption of uncorrelated or independent observations is not even approximately satisfied in some manufacturing processes.
Dja-Shin Wang, Ya-Wen Yu, Sheng-Hong Wang, Bor-Wen Cheng   +3 more
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Multivariate Quality Control Chart for Autocorrelated Processes

Journal of Applied Statistics, 2004
Traditional multivariate statistical process control (SPC) techniques are based on the assumption that the successive observation vectors are independent. In recent years, due to automation of measurement and data collection systems, a process can be sampled at higher rates, which ultimately leads to autocorrelation.
A A, Kalgonda, S R, Kulkarni
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Partial autocorrelation function for spatial processes

Statistics & Probability Letters, 1994
This paper deals with statistics of second-order stationary two- dimensional random fields. For data observed on a rectangular lattice, several authors suggested suitable two-dimensional ARMA models to apply time series methods. For a class of such ARMA-models a partial autocorrelation function (PACF) is defined and the estimation of this PACF is ...
Etchison, Tonya, Pantula, Sastry G., Brownie, Cavell   +2 more
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PHYLOGENETIC AUTOCORRELATION UNDER DISTINCT EVOLUTIONARY PROCESSES

Evolution, 2001
I show how phylogenetic correlograms track distinct microevolutionary processes and can be used as empirical descriptors of the relationship between interspecific covariance (V(B)) and time since divergence (t). Data were simulated under models of gradual and speciational change, using increasing levels of stabilizing selection in a stochastic Ornstein-
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Multivariate statistical process control for autocorrelated processes

International Journal of Production Research, 1996
Multivariate statistical process control is often used in chemical and process industries where autocorrelation is most prevalent. We present a realistic model that generates autocorrelation and crosscorrelation and provides a useful approach to characterizing process data.
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