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Edité par McGraw-Hill, 2003
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Livre
Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Edité par McGraw-Hill Education 2002-11-16, New York |London, 2002
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : Blackwell's, London, Royaume-Uni
Livre
paperback. Etat : New.
Edité par McGraw-Hill Education - Europe, 2003
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Livre
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
Edité par McGraw-Hill Education, 2002
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Livre
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par McGraw-Hill, 2002
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Livre
Hardcover. Etat : Brand New. 4th edition. 798 pages. 9.65x6.65x1.34 inches. In Stock.
Edité par McGraw-Hill Education - Europe, London, 2002
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Livre
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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par McGraw-Hill Education - Europe, London, 2002
ISBN 10 : 0071198598ISBN 13 : 9780071198592
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Livre
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.