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Can I read Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences on EtoBox?

Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences by Milton, J. Susan (Janet Susan) is a mathematics available to read on EtoBox.

What is Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences about?

<p>Selling over 220,000 copies in its first edition, <i>Schaum's Outline of Probability and Statistics</i> has become a vital resource for the more than 977,000 college students who enroll in related probability and statistics courses each year. Its big-picture, calculus-based approach makes it an especially authoriatative reference for engineering and science majors. Now thoroughly update, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.</p> <p><b>John J. Schiller</b>, is an Associate Professor of Mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.</p> <p><b>Alu Srinivasan</b> is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probabilit

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Milton, J. Susan (Janet Susan)
Publisher
McGraw-Hill Companies
Published
2022
Language
EN
ISBN
9780071242486
Category
mathematics
Subjects
Computer Science, Mathematics, Engineering
Rating
3.69 / 5 (68 ratings)
Updated
2026-03-14

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