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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences - Couverture rigide
Synopsis
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos des auteurs
J.Susan Milton is professor Emeritus of Satatics at Radford University. Dr. Milton recieved the B.S. degree from Western Carolina University, the M.A. degree from the University of North Carolina at Chapel Hill, and the Ph.D degree in Statistics from Virginia Polytechnic Institute and State university. She is a Danforth Associate and is a recipient of the Radford University Foundation Award for Excellence in Teaching. Dr. Milton is the author of Statistical Methods in the Biological and Health Sciences as well as Introduction to statistics, Probability with the Essential Analysis, and a first Course in the Theory of Linear Statistical Models.
Jesse C. arnold is a Professor of Statistics at Virginia Polytechnic Insitute and state University. Dr. arnold received the B.S. Degree from Southeastern state University, and the M.A and Ph. D degrees in statistics from Florida state university. He served as head of Statistics department for ten years, is a fellow of the American Statistical Association, and elected member of the International Statistics Institute. Ha has served as President of the International Biometric Society (Eastern North American Region) and Chairman of the statistical Educational Section of the American Statistical Association.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
Edité par
Mcgraw Hill, 2002
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Ancien ou d'occasion
Couverture rigide
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Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1300grams, ISBN:9780071198592. N° de réf. du vendeur 4128370
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Milton, J: Introduction to Probability and Statistics: Princ
Edité par
McGraw-Hill Education Ltd, 2002
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : New. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical . N° de réf. du vendeur 594340693
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
Edité par
McGraw-Hill Education, 2002
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Neuf
Couverture rigide
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur CM-9780071198592
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed)
Edité par
McGraw-Hill Education - Europe, 2003
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 1232. N° de réf. du vendeur B9780071198592
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 4th edition. 798 pages. 9.65x6.65x1.34 inches. In Stock. N° de réf. du vendeur __0071198598
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Introduction To Probability Statistics
Edité par
Mcgraw-Hill Higher Education, 2003
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Neuware - This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. N° de réf. du vendeur 9780071198592
Quantité disponible : 2 disponible(s)
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed) (Paperback)
Edité par
McGraw-Hill Education - Europe, London, 2002
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Neuf
Paperback
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. - References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. - Some of the more difficult derivations have been moved to an appendix. - Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780071198592
Quantité disponible : 1 disponible(s)
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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed) (Paperback)
Edité par
McGraw-Hill Education - Europe, London, 2002
ISBN 10 : 0071198598
ISBN 13 : 9780071198592
Neuf
Paperback
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. - References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. - Some of the more difficult derivations have been moved to an appendix. - Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780071198592
Quantité disponible : 1 disponible(s)