Preface 1. Introduction 2. Nonparametric models 3. Priors for neural networks 4. Building a model 5. Conclusions Appendix A Glossary Bibliography Index.
前言1。介绍2。非参数模型神经网络的先验算法构建模型结论附录A术语表参考书目索引。
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Preface Part I. Preliminaries: 1. Introduction 2. Mixture space 3. Models for a mixture setting Part II. Design: 4. Designs for simplex-shaped regions 5. Designs for non-simplex-shaped regions 6. Design evaluation 7. Blocking mixture experiments Appendix 7A Part III. Analysis: 8. Building models in a mixture setting 9. Model evaluation 10. Model revision 11. Effects 12. Optimization Part IV. Special Topics: 13. Including process variables 14. Collinearity Bibliography Index.
{"title":"Experimental design for formulation","authors":"Wendell F. Smith","doi":"10.1137/1.9780898718393","DOIUrl":"https://doi.org/10.1137/1.9780898718393","url":null,"abstract":"Preface Part I. Preliminaries: 1. Introduction 2. Mixture space 3. Models for a mixture setting Part II. Design: 4. Designs for simplex-shaped regions 5. Designs for non-simplex-shaped regions 6. Design evaluation 7. Blocking mixture experiments Appendix 7A Part III. Analysis: 8. Building models in a mixture setting 9. Model evaluation 10. Model revision 11. Effects 12. Optimization Part IV. Special Topics: 13. Including process variables 14. Collinearity Bibliography Index.","PeriodicalId":118426,"journal":{"name":"ASA-SIAM series on statistics and applied probability","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115303410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anthology of Statistics in Sports","authors":"J. Albert, Jay M. Bennett, J. Cochran","doi":"10.1137/1.9780898718386","DOIUrl":"https://doi.org/10.1137/1.9780898718386","url":null,"abstract":"","PeriodicalId":118426,"journal":{"name":"ASA-SIAM series on statistics and applied probability","volume":"24 19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables. Specifically devoted to the T2 methodology, Multivariate Statistical Process Control with Industrial Applications is the only book available that concisely and thoroughly presents such topics as how to construct a historical data set; how to check the necessary assumptions used with this procedure; how to chart the T2 statistic; how to interpret its signals; how to use the chart in the presence of autocorrelated data; and how to apply the procedure to batch processes. The book comes with a CD-ROM containing a 90-day demonstration version of the QualStat multivariate SPC software specifically designed for the application of T2 control procedures. The CD-ROM is compatible with Windows 95, Windows 98, Windows Me Millennium Edition, and Windows NT operating systems.
{"title":"Multivariate statistical process control with industrial applications","authors":"R. L. Mason, John C. Young","doi":"10.1137/1.9780898718461","DOIUrl":"https://doi.org/10.1137/1.9780898718461","url":null,"abstract":"This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables. Specifically devoted to the T2 methodology, Multivariate Statistical Process Control with Industrial Applications is the only book available that concisely and thoroughly presents such topics as how to construct a historical data set; how to check the necessary assumptions used with this procedure; how to chart the T2 statistic; how to interpret its signals; how to use the chart in the presence of autocorrelated data; and how to apply the procedure to batch processes. The book comes with a CD-ROM containing a 90-day demonstration version of the QualStat multivariate SPC software specifically designed for the application of T2 control procedures. The CD-ROM is compatible with Windows 95, Windows 98, Windows Me Millennium Edition, and Windows NT operating systems.","PeriodicalId":118426,"journal":{"name":"ASA-SIAM series on statistics and applied probability","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126729735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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