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GENERAL ENGINEERING
Engineering
Math/Statistics
NEW
NEW
OPERATIONS RESEARCH
by P. V. Iyer
PRINCIPLES OF STATISTICS FOR
ENGINEERS AND SCIENTISTS
by William C. Navidi, Colorado School Of Mines
2010 (January 2009) / Hardcover / 608 pages
ISBN: 978-0-07-728931-7
www.mhhe.com/navidi
Principles of Statistics for Engineers and Scientists offers the same
crystal clear presentation of applied statistics as Bill Navidi's Statistics
for Engineers and Scientists text, in a manner especially designed for
the needs of a one-semester course that focuses on applications.
The text features a unique approach accentuated by an engaging
writing style that explains difficult concepts clearly. By presenting
ideas in the context of real-world data featured in plentiful examples,
the book motivates students to understand fundamental concepts
through practical examples found in industry and research.
FEATURES
v ARIS, McGraw-Hill's Online Homework Manager, features
algorithmic problems and gradebook capability. Instructors will have
access to data sets, solutions, lecture PowerPoints, and images
from the text.
v A commitment to accuracy for which Bill Navidi's texts have
become known.
v In line with modern trends, the text contains exercises suitable
for solving with computer software. These examples and exercises
involve interpreting, as well as generating, computer output. The
student edition of MINITAB®, the widely used statistical software
package is available bundled with the text.
v With a focus on applications, the presentation is condensed to
allow for coverage of a greater number of topics in a one-semester
course.
v Topics are organized to allow for flexibility in the order of presentation.
An introduction to descriptive aspects of linear regression
is presented in Chapter 2, which is useful for courses in which there
is not enough time to cover inferential methods. Inferential methods
are presented in Chapter 8.
v Many examples and exercises use data from articles published
in scientific journals. This motivates students by showing them that
the concepts they are learning are actually used by scientists and
engineers.
2008 / Softcover / 288 pages
ISBN: 978-0-07-066902-4
(McGraw-Hill India Title)
FEATURES
v Unique chapters on sequencing problems, replacement models,
project scheduling, artificial variables, and variable techniques.
v
v
v
v
Solved examples from various university question papers
Strong pedagogical features, include
350 Solved examples
350 Review questions
CONTENTS
1. Introduction to OR
2. Linear Programming
3. Simplex Method
4. Artificial Variables
5. Dual Simplex Method
6. Duality
7. Revised Simplex Method
8. Bounded Variable Techniques
9. Integer Programming
10. Sensitivity Analysis
11. Transportation Problem
12. Assignment Problem
13. Decision Theory
14. Theory Of Games
15. Dynamic Programming
16. Sequencing Problems
17. Queueing Theory
18. Inventory Models
19. Replacement Models
20. Project Scheduling (PERT and CPM)
21. Simulation
CONTENTS
1 Sampling and Descriptive Statistics
2 Summarizing Bivariate Data
3 Probability
4 Commonly Used Distributions
5 Point and Interval Estimation for a Single Sample
6 Hypothesis Tests for a Single Sample
7 Inferences for Two Samples
8 Inference in Linear Models
9 Factorial Experiments
10 Statistical Quality Control
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