1 60 2 61 3 62 4 63 5 64 6 65 7 66 8 67 9 68 10 69 11 70 12 71 13 72 14 73 15 74 16 75 17 76 18 77 19 78 20 79 21 80 22 81 23 82 24 83 25 84 26 85 27 86 28 87 29 88 30 89 31 90 32 91 33 92 34 93 35 94 36 95 37 96 38 97 39 98 40 99 41 100 42 101 43 102 44 103 45 104 46 105 47 106 48 107 49 108 50 109 51 110 52 111 53 112 54 113 55 114 56 115 57 116 58 117 59 118 A Multivariate Sign EWMA Control ...

In this paper, one of the most important criterion in public services quality named availability is evaluated by using artificial neural network (ANN). In addition, the availability values are predicted for future periods by using exponential weighted moving average (EWMA) scheme and some time series models (TSM) including autoregressive (AR), moving average (MA) and autoregressive moving avera...

Con el objetivo de analizar posibles relaciones entre las modalidades ratio carga aguda:cronica (tanto por promedios consecutivos, ACWR, como en su ponderacion exponencial dinamica, EWMA), relacion con la lesionabilidad futbol femenino, se realizo un estudio cuasiexperimental sin intervencion ratios obtenidas a partir 212 sesiones entrenamiento y partidos realizados durante una temporada equipo...

Diagnostics and prognostics in rotating machinery is a subject of much on-going research. There are three approaches to diagnostics and prognostics. These include experience-based approaches, data-driven techniques and model-based techniques. Bayesian data-driven techniques are gaining widespread application in diagnostics and prognostics of mechanical and allied systems including slow rotating...

In this paper, we develop a process control approach to detect linear trends in the process mean. A statistic based on the deviation between the target mean and the expected mean of the process is used in the development of the new approach. The statistic is shown to have a Chi-square distribution. The approach is described and its performance is compared with Cumulative Sum (CUSUM), Exponentia...

We analyze the predictive performance of various volatility models for stock returns. To compare their performance, we choose loss functions for which volatility estimation is of paramount importance. We deal with two economic loss functions (an option pricing function and an utility function) and two statistical loss functions (a goodness-of-fit measure for a Value-at-Risk (VaR) calculation an...

This paper presents the estimation methods of packet inter-arrival times. The approach is based on neural network models for predicting the packet inter-arrival times by learning patterns and characteristics of observed traffics. The proposed methods are compared with the familiar exponentially weighted moving average (EWMA) estimator. Evaluation results demonstrate the effectiveness of the pro...

Abstract The Moving Average method is the most common filter in Digital Signal Processing, optimal for reducing unstable value fluctuations due to interference by maintaining accurate readings. Therefore it often used signal coding context of time (Smith, 1999). kind moving average Exponentially Weighted (EWMA) which applied a sequence random variables, calculating weighted applying weight that...