BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

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

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

Introduction to Probability and Statistics: Principles and Applications for
Stock photo: cover may vary

Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences Hardback - 2002

by Milton, J. Susan; Arnold, Jesse

Add to wish list
  • Used
  • Good
  • Hardback
Used - Good

Description

McGraw Hill, 2002-09-30. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking
Ask the seller a question Add to wish list
A$237.52
A$5.61 Delivery within USA
Standard delivery: 4 to 14 days
More delivery options
Ships from SGS Trading Inc (New Jersey, United States)

Details

About SGS Trading Inc New Jersey, United States

Specialising in: Reference Books, Textbook
Biblio member since 2009

Textbook and Reference Books Discounted

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from SGS Trading Inc

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

From the publisher

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.
tracking-