Author: J. Susan Milton
Edition: 4
Binding: Hardcover
ISBN: 007246836X
Publisher: McGraw-Hill Science/Engineering/Math
Edition: 4
Binding: Hardcover
ISBN: 007246836X
Publisher: McGraw-Hill Science/Engineering/Math
Introduction to Probability and Statistics Using R
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. Introduction to Probability and Statistics
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.
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 Download free Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences from rapidshare, mediafire, 4shared
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 Search and find a lot of computer books in many category availabe for free download
he 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
