標題: Titlebook: Distribution-Free Methods for Statistical Process Monitoring and Control; Markos V. Koutras,Ioannis S. Triantafyllou Book 2020 Springer Na [打印本頁] 作者: squamous-cell 時間: 2025-3-21 18:07
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書目名稱Distribution-Free Methods for Statistical Process Monitoring and Control網(wǎng)絡公開度學科排名
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書目名稱Distribution-Free Methods for Statistical Process Monitoring and Control讀者反饋
書目名稱Distribution-Free Methods for Statistical Process Monitoring and Control讀者反饋學科排名
作者: engrossed 時間: 2025-3-21 21:06
https://doi.org/10.1007/978-1-349-20036-8e present literature review depict the most recent developments on the topic, since it has been chosen to discuss only the advances appeared during the last decade. For each distribution-free control chart, the general setup and several performance characteristics are presented in some detail.作者: 苦笑 時間: 2025-3-22 02:50
https://doi.org/10.1007/978-1-349-20036-8iate case are not equally weighted as the ones that have already been done in the univariate case. In the present work, we firstly review the recent literature of nonparametric control charts, giving emphasis on multivariate schemes, which make use of order statistics, signs or ranks for the computa作者: 酷熱 時間: 2025-3-22 07:39
https://doi.org/10.1007/978-1-349-20036-8e normality assumption for observations. To the best of our knowledge, there is not yet a thorough understanding of what happens to the statistical properties of the . control chart in the presence of observations tied to the monitored population quantile, for example, the median: this is an event o作者: 煉油廠 時間: 2025-3-22 09:58 作者: 與野獸博斗者 時間: 2025-3-22 15:13
Winter: The Destruction of Innocencenmanufacturing quality characteristics is not normal and usually unknown, hence, statistical properties of the most commonly used charts are highly affected. Given these concerns, nonparametric or even distribution-free control charts appear to be ideal candidates for such Phase I applications. Howe作者: 與野獸博斗者 時間: 2025-3-22 17:51
Spring-Summer: The Affirmation of ‘Reason’he location and scale parameters of a univariate continuous process. More precisely, we consider a well-known distribution-free EWMA scheme based on the Lepage statistic, and we propose five new EWMA schemes for the same purpose. One of the five new schemes is based on the maximum of EWMA of two ind作者: sultry 時間: 2025-3-22 23:45 作者: 的闡明 時間: 2025-3-23 02:42
https://doi.org/10.1007/978-94-017-6814-6thus important for our health improvement. In this paper, we suggest a novel and effective new method for disease early detection. By this method, a patient’s risk to the disease is first quantified at each time point by survival data analysis of a training dataset that contains patients’ survival i作者: 淘氣 時間: 2025-3-23 08:02 作者: 憲法沒有 時間: 2025-3-23 09:48 作者: macrophage 時間: 2025-3-23 17:06
https://doi.org/10.1007/978-3-030-25081-2Nonparametric Methods; Statistical Process Control; Run Length; Alarm Rate; Distribution-Free Charts; dis作者: insurgent 時間: 2025-3-23 18:33
978-3-030-25083-6Springer Nature Switzerland AG 2020作者: 無王時期, 時間: 2025-3-23 22:55
Recent Advances on Univariate Distribution-Free Shewhart-Type Control Charts,e present literature review depict the most recent developments on the topic, since it has been chosen to discuss only the advances appeared during the last decade. For each distribution-free control chart, the general setup and several performance characteristics are presented in some detail.作者: Ejaculate 時間: 2025-3-24 04:07 作者: cancellous-bone 時間: 2025-3-24 10:15 作者: DAMN 時間: 2025-3-24 14:06
https://doi.org/10.1007/978-1-349-20036-8al results take into account different shift scenarios for the location parameter, the scale parameter or both. Finally, some concluding remarks are given, as well as some ideas and directions for future work.作者: 乳白光 時間: 2025-3-24 14:54 作者: 放牧 時間: 2025-3-24 20:10
Multivariate Nonparametric Control Charts Based on Ordered Samples, Signs and Ranks,al results take into account different shift scenarios for the location parameter, the scale parameter or both. Finally, some concluding remarks are given, as well as some ideas and directions for future work.作者: ELUDE 時間: 2025-3-25 01:24
,A Nonparametric Control Chart for?Dynamic Disease Risk Monitoring,ngitudinal pattern of the quantified risk is monitored sequentially over time by a nonparametric control chart. A signal will be given by the chart once the cumulative difference between the risk pattern of the patient under monitoring and the risk pattern of a typical person without the disease in concern exceeds a control limit.作者: 印第安人 時間: 2025-3-25 07:21 作者: 失敗主義者 時間: 2025-3-25 11:10 作者: Magnitude 時間: 2025-3-25 13:07
Book 2020arts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the indep作者: 富饒 時間: 2025-3-25 16:46
xperts from around the globe.Describes techniques that can b.This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate作者: FLOUR 時間: 2025-3-25 20:16 作者: 阻撓 時間: 2025-3-26 00:38
https://doi.org/10.1007/978-1-349-20036-8ows that the best strategy simply consists in implementing a Bernoulli trial approach: in practice, ties are reconsidered by . chance as being greater or smaller than the monitored population quantile. We quantitatively show that this approach allows the distribution-free properties of the Shewhart 作者: 角斗士 時間: 2025-3-26 06:05 作者: 制定 時間: 2025-3-26 12:19
Spring-Summer: The Affirmation of ‘Reason’monitoring the scale parameter. Such decomposition of the Cucconi statistic is not unique, and one can split it into three different ways. Therefore, we design three more cEWMA schemes corresponding to the decompositions of the Cucconi statistic. We discuss the implementation steps along with an ill作者: Console 時間: 2025-3-26 14:23
Distribution-Free Methods for Statistical Process Monitoring and Control作者: GIST 時間: 2025-3-26 20:47
Distribution-Free Methods for Statistical Process Monitoring and Control978-3-030-25081-2作者: 填料 時間: 2025-3-26 23:59 作者: 泥沼 時間: 2025-3-27 05:11
The Shewhart Sign Chart with Ties: Performance and Alternatives,ows that the best strategy simply consists in implementing a Bernoulli trial approach: in practice, ties are reconsidered by . chance as being greater or smaller than the monitored population quantile. We quantitatively show that this approach allows the distribution-free properties of the Shewhart 作者: medieval 時間: 2025-3-27 05:44 作者: CRAFT 時間: 2025-3-27 12:15
A Class of Distribution-Free Exponentially Weighted Moving Average Schemes for Joint Monitoring of monitoring the scale parameter. Such decomposition of the Cucconi statistic is not unique, and one can split it into three different ways. Therefore, we design three more cEWMA schemes corresponding to the decompositions of the Cucconi statistic. We discuss the implementation steps along with an ill作者: 運動性 時間: 2025-3-27 15:16
Recent Advances on Univariate Distribution-Free Shewhart-Type Control Charts,e present literature review depict the most recent developments on the topic, since it has been chosen to discuss only the advances appeared during the last decade. For each distribution-free control chart, the general setup and several performance characteristics are presented in some detail.作者: 溝通 時間: 2025-3-27 20:48
Multivariate Nonparametric Control Charts Based on Ordered Samples, Signs and Ranks,iate case are not equally weighted as the ones that have already been done in the univariate case. In the present work, we firstly review the recent literature of nonparametric control charts, giving emphasis on multivariate schemes, which make use of order statistics, signs or ranks for the computa作者: Madrigal 時間: 2025-3-27 22:14
The Shewhart Sign Chart with Ties: Performance and Alternatives,e normality assumption for observations. To the best of our knowledge, there is not yet a thorough understanding of what happens to the statistical properties of the . control chart in the presence of observations tied to the monitored population quantile, for example, the median: this is an event o作者: BUDGE 時間: 2025-3-28 04:04
Statistical Process Monitoring and the Issue of Assumptions in Practice: Normality and IndependenceThese assumptions all play important roles in practice, in the solution that is proposed for the problem at hand. Since the proposal is based on these assumptions, it is important that they are thoroughly investigated and properly validated, so that the results can be depended on. In this paper, we 作者: Grandstand 時間: 2025-3-28 06:49 作者: ENACT 時間: 2025-3-28 11:22 作者: precede 時間: 2025-3-28 15:40 作者: Hemiparesis 時間: 2025-3-28 20:04
,A Nonparametric Control Chart for?Dynamic Disease Risk Monitoring,thus important for our health improvement. In this paper, we suggest a novel and effective new method for disease early detection. By this method, a patient’s risk to the disease is first quantified at each time point by survival data analysis of a training dataset that contains patients’ survival i
