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    Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9783319355450_dbm

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        Avis sur Frontiers In Statistical Quality Control 11 Format Broché  - Livre Technologie

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        Présentation Frontiers In Statistical Quality Control 11 Format Broché

         - Livre Technologie

        Livre Technologie - 01/10/2016 - Broché - Langue : Anglais

        . .

      • Editeur : Springer International Publishing Ag
      • Langue : Anglais
      • Parution : 01/10/2016
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 416
      • Expédition : 628
      • Dimensions : 23.5 x 15.5 x 2.3
      • ISBN : 9783319355450



      • Résumé :
        Part I - Statistical Process Control: Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest by Ross Sparks.- Some Recent Results on Monitoring the Rate of a Rare Event by William H. Woodall and Anne G. Ryan.- Statistical Perspectives on Big Data by Fadel M. Megahed and L. Allison Jones-Farmer.- Statistical Control of Multiple-stream Processes - a Literature Review by Eugenio K. Epprecht.- Regenerative Likelihood Ratio Control Schemes by Emmanuel Yashchin.- Variance Charts for Time Series - A Comparison Study by Taras Lazariv and Wolfgang Schmid.- On ARL-unbiased control charts by Sven Knoth and Manuel Cabral Morais.- Optimal Cumulative Sum Charting Procedures Based on Kernel Densities by Jessie Y. Su, Fah Fatt Gan, and Xu Tang.- A Simple Approach for Monitoring Process Mean and Variance Simultaneously by Su-Fen Yang and Barry C. Arnold.- Comparison of Phase II Control Charts Based on Variable Selection Methods by Giovanna Capizzi and Guido Masarotto.- The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring by Rainer G?b and Kristina Lurz.- Strategies to Reduce the Probability of a Misleading Signal by Manuel Cabral Morais, Patr?cia Ferreira Ramos and Ant?nio Pacheco.- Characteristics of Economically Designed CUSUM and Control Charts by Erwin Saniga, Darwin Davis, Alireza Faraz, Thomas McWilliams, James Lucas.- SPC of Processes with Predicted Data - Application of the Data Mining Methodology by Olgierd Hryniewicz.- Shewhart's Idea of Predictability and Modern Statistics by Alessandro Di Bucchianico and Edwin R. van den Heuvel.- Part II - Acceptance Sampling: Sampling Inspection by Variables with an Additional Acceptance Criterion byPeter-Th. Wilrich.- Fractional Acceptance Numbers for Lot Quality by K. Govindaraju and G. Jones.- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs With Applications to Photovoltaics by Ansgar Steland.- Part III - Design of Experiments: An Overview of Designing Experiments for Reliability Data by G. Geoffrey Vining, Laura J. Freeman, and Jennifer L.K. Kensler.- Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs by Edgar Hassler, Douglas C. Montgomery, and Rachel T. Silvestrini.- Bayesian Lasso with Effect Heredity Principle by Hidehisa Noguchi, Yoshikazu Ojima, Seiichi Yasui.- Part IV - Related Areas: Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data by Watalu Yamamoto and Kazuki Takeshita.- Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring can Dominate the Proper one Even for Massive Data by Hans - J. Lenz....

        Biographie:

        Part I - Statistical Process Control: Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest byRoss Sparks .- Some Recent Results on Monitoring the Rate of a Rare Event byWilliam H. Woodall and Anne G. Ryan .- Statistical Perspectives on Big Data byFadel M. Megahed and L. Allison Jones-Farmer .- Statistical Control of Multiple-stream Processes - a Literature Review by Eugenio K. Epprecht.- Regenerative Likelihood Ratio Control Schemes byEmmanuel Yashchin .- Variance Charts for Time Series - A Comparison Study byTaras Lazariv and Wolfgang Schmid .- On ARL-unbiased control charts bySven Knoth and Manuel Cabral Morais .- Optimal Cumulative Sum Charting Procedures Based on Kernel Densities byJessie Y. Su, Fah Fatt Gan, and Xu Tang .- A Simple Approach for Monitoring Process Mean and Variance Simultaneously bySu-Fen Yang and Barry C. Arnold .- Comparison of Phase II Control Charts Based on Variable Selection Methods by Giovanna Capizzi and Guido Masarotto .- The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring byRainer G?b and Kristina Lurz .- Strategies to Reduce the Probability of a Misleading Signal byManuel Cabral Morais, Patr?cia Ferreira Ramos and Ant?nio Pacheco .- Characteristics of Economically Designed CUSUM and Control Charts byErwin Saniga, Darwin Davis, Alireza Faraz, Thomas McWilliams, James

        Lucas .- SPC of Processes with Predicted Data - Application of the Data Mining Methodology byOlgierd Hryniewicz .- Shewhart's Idea of Predictability and Modern Statistics byAlessandro Di Bucchianico and Edwin R. van den Heuvel .- Part II - Acceptance Sampling: Sampling Inspection by Variables with an Additional Acceptance Criterion byPeter-Th. Wilrich .- Fractional Acceptance Numbers for Lot Quality byK. Govindaraju and G. Jones .- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs With Applications to Photovoltaics byAnsgar Steland Part III - Design of Experiments: An Overview of Designing Experiments for Reliability Data byG. Geoffrey Vining, Laura J. Freeman, and Jennifer L.K. Kensler .- Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs byEdgar Hassler, Douglas C. Montgomery, and Rachel T. Silvestrini .- Bayesian Lasso with Effect Heredity Principle byHidehisa Noguchi, Yoshikazu Ojima, Seiichi Yasui Part IV - Related Areas: Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data byWatalu Yamamoto and Kazuki Takeshita .- Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring can Dominate the Proper one Even for Massive Data byHans - J. Lenz .

        ...

        Sommaire:

        Part I - Statistical Process Control: Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest by Ross Sparks .- Some Recent Results on Monitoring the Rate of a Rare Event by William H. Woodall and Anne G. Ryan .- Statistical Perspectives on Big Data Fadel M. Megahed and L. Allison Jones-Farmer .- Statistical Control of Multiple-stream Processes - a Literature Review by Eugenio K. Epprecht.- Regenerative Likelihood Ratio Control Schemes Emmanuel Yashchin .- Variance Charts for Time Series - A Comparison Study Taras Lazariv and Wolfgang Schmid .- On ARL-unbiased control charts Sven Knoth and Manuel Cabral Morais .- Optimal Cumulative Sum Charting Procedures Based on Kernel Densities Jessie Y. Su, Fah Fatt Gan, and Xu Tang .- A Simple Approach for Monitoring Process Mean and Variance Simultaneously by Su-Fen Yang and Barry C. Arnold .- Comparison of Phase II Control Charts Based on Variable Selection Methods by G iovanna Capizzi and Guido Masarotto .- The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring by Rainer G?b and Kristina Lurz .- Strategies to Reduce the Probability of a Misleading Signal Manuel Cabral Morais, Patr?cia Ferreira Ramos and Ant?nio Pacheco .- Characteristics of Economically Designed CUSUM and Control Charts Erwin Saniga, Darwin Davis, Alireza Faraz, Thomas McWilliams, James

        Lucas .- SPC of Processes with Predicted Data - Application of the Data Mining Methodology Olgierd Hryniewicz .- Shewhart's Idea of Predictability and Modern Statistics Alessandro Di Bucchianico and Edwin R. van den Heuvel .- Part II - Acceptance Sampling: Sampling Inspection by Variables with an Additional Acceptance Criterion Peter-Th. Wilrich .- Fractional Acceptance Numbers for Lot Quality K. Govindaraju and G. Jones .- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs With Applications to Photovoltaics Ansgar Steland Part III - Design of Experiments: An Overview of Designing Experiments for Reliability Data G. Geoffrey Vining, Laura J. Freeman, and Jennifer L.K. Kensler .- Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs Edgar Hassler, Douglas C. Montgomery, and Rachel T. Silvestrini .- Bayesian Lasso with Effect Heredity Principle Hidehisa Noguchi, Yoshikazu Ojima, Seiichi Yasui Part IV - Related Areas: Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data Watalu Yamamoto and Kazuki Takeshita .- Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring can Dominate the Proper one Even for Massive Data Hans - J. Lenz .

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