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