Articles liés à Optimal Mixture Experiments
Synopsis
The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Scheffé's quadratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model. Robust mixture designs and mixture designs in blocks have been also reviewed. Moreover, some applications of mixture designs in areas like agriculture, pharmaceutics and food and beverages have been presented. Familiarity with the basic concepts of design and analysis of experiments, along with the concept of optimality criteria are desirable prerequisites for a clear understanding of the book. It is likely to be helpful to both theoreticians and practitioners working in the area of mixture experiments.
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À propos de l?auteur
Professor Bikas Kumar Sinha is a retired professor of statistics of Indian Statistical Institute, Calcutta, India. He has travelled extensively within India and abroad for collaborative research and with teaching assignments. He has served as a 'UN Expert on Mission' and also as a consultant for USEPA. He is a 'Summer at Census' visitor at the US Census Bureau. He has more than 130 research publications in areas like linear models and optimal designs, survey sampling theory and statistical methodologies. He is the co-author of two research monographs published under Springer-Verlag Lecture Notes in Statistics Series (1989, 2002).
Professor Nripes Kumar Mandal is a senior faculty in the Department of Statistics, University of Calcutta, India. He has been working in the area of design of experiments since 1977. He has visited several universities/institutes in India and abroad for teaching/collaborative research and as a resource person/invited speaker/keynote speaker at Workshops/Conferences/Symposia. He has more than 60 research articles published in peer-reviewed journals. He is the co-author of a research monograph published under Springer-Verlag Lecture Notes in Statistics Series (2002).
Professor Manisha Pal teaches at the Department of Statistics, University of Calcutta, India. She has undertaken teaching and collaborative research assignments in Indian and foreign universities. She has been a resource person/invited speaker at Workshops/ Conferences/Symposia held in India and abroad. She has more than 85 published research articles in the areas of inventory control, reliability inference, skewed distributions, mixture experiments and data analysis.
Professor Premadhis Das is a senior faculty in the Department of Statistics, University of Kalyani, India. He has been working in the area of design of experiments for more than 30 years, and has visited many universities for teaching/ collaborativeresearch and as a resource person/invited speaker at Workshops/ Conferences/ Symposia. He has research publications in many national and international journals of repute.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Optimal Mixture Experiments.
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New Delhi, Springer., 2014
ISBN 10 : 8132217853
ISBN 13 : 9788132217855
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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209 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes in Statistics 1028. Sprache: Englisch. N° de réf. du vendeur 11233DB
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OPTIMAL MIXTURE EXPERIMENTS
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Optimal Mixture Experiments (Lecture Notes in Statistics, 1028)
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Optimal Mixture Experiments
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Springer India, 2014
ISBN 10 : 8132217853
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes optimality consideration for estimating both linear and non-linear functions of parameters of some mixture modelsIncludes multi-response mixture models and also random coefficient mixture models, which are totally new considerations in mi. N° de réf. du vendeur 5803199
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Optimal Mixture Experiments
Edité par
Springer India Jun 2014, 2014
ISBN 10 : 8132217853
ISBN 13 : 9788132217855
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Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Scheffé's quadratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model. Robust mixture designs and mixture designs in blocks have been also reviewed. Moreover, some applications of mixture designs in areas like agriculture, pharmaceutics and food and beverages have been presented. Familiarity with the basic concepts of design and analysis of experiments, along with the concept of optimality criteria are desirable prerequisites for a clear understanding of the book. It is likely to be helpful to both theoreticians and practitioners working in the area of mixture experiments. 232 pp. Englisch. N° de réf. du vendeur 9788132217855
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Optimal Mixture Experiments
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Springer India, Springer India, 2014
ISBN 10 : 8132217853
ISBN 13 : 9788132217855
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Scheffé's quadratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model. Robust mixture designs and mixture designs in blocks have been also reviewed. Moreover, some applications of mixture designs in areas like agriculture, pharmaceutics and food and beverages have been presented. Familiarity with the basic concepts of design and analysis of experiments, along with the concept of optimality criteria are desirable prerequisites for a clear understanding of the book. It is likely to be helpful to both theoreticians and practitioners working in the area of mixture experiments. N° de réf. du vendeur 9788132217855
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Optimal Mixture Experiments (Lecture Notes in Statistics, 1028)
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Optimal Mixture Experiments
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Springer India, Springer India Jun 2014, 2014
ISBN 10 : 8132217853
ISBN 13 : 9788132217855
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Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -¿The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Scheffé¿s quadratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model. Robust mixture designs and mixture designs in blocks have been also reviewed. Moreover, some applications of mixture designs in areas like agriculture, pharmaceutics and food and beverages have been presented. Familiarity with the basic concepts of design and analysis of experiments, along with the concept of optimality criteria are desirable prerequisites for a clear understanding of the book. It is likely to be helpful to both theoreticians and practitioners working in the area of mixture experiments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch. N° de réf. du vendeur 9788132217855
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Optimal Mixture Experiments
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Springer (India) Private Limited, 2014
ISBN 10 : 8132217853
ISBN 13 : 9788132217855
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 232. N° de réf. du vendeur 2697542592
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Optimal Mixture Experiments
Edité par
Springer (India) Private Limited, 2014
ISBN 10 : 8132217853
ISBN 13 : 9788132217855
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. pp. 232 2 Illus. N° de réf. du vendeur 94887455
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