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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences - Couverture rigide

 
9780071198592: Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
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Book by Milton J Susan Arnold Jesse C

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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.

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  • ÉditeurMcGraw Hill Higher Education
  • Date d'édition2002
  • ISBN 10 0071198598
  • ISBN 13 9780071198592
  • ReliureRelié
  • Numéro d'édition4
  • Nombre de pages832
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Autres éditions populaires du même titre

9780072468366: Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences

Edition présentée

ISBN 10 :  007246836X ISBN 13 :  9780072468366
Editeur : McGraw-Hill Higher Education, 2002
Couverture rigide

  • 9780071242486: Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences

    McGraw..., 2002
    Couverture souple

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Description du 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. N° de réf. du vendeur 9780071198592

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Description du 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. N° de réf. du vendeur 9780071198592

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