Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences; J. Susan Milton, Jesse Arnold; 2002

Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences Upplaga 4

av J. Susan Milton, Jesse Arnold
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.
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.
Upplaga: 4e upplagan
Utgiven: 2002
ISBN: 9780071242486
Förlag: McGraw Hill Higher Education
Format: Häftad
Språk: Engelska
Sidor: 832 st
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.
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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Om Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (2002)

I november 2002 släpptes boken Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences skriven av J. Susan Milton, Jesse Arnold. Det är den 4e upplagan av kursboken. Den är skriven på engelska och består av 832 sidor djupgående information om övrigt. Förlaget bakom boken är McGraw Hill Higher Education.

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