This book is specially designed for a course in Quantitative Techniques taught to MBA students. It provides the students with a thorough introduction to basic quantitative tools required to perform analytical evaluations and arrive at logical decisions.
The second edition of the book essentially retains the flavour of the first edition. Concepts have been explained in an easy to understand language and emphasis is on practical applications rather than rigorous mathematical treatment. As far as possible, detailed proofs and axioms associated with pure mathematics have been avoided. The text in the second edition has been suitably modified for giving better clarity. Nearly fifty solved examples have been added to various chapters to enable students to understand the nuances of problem solving. Fifty unsolved problems have also been added to give ample scope to the student for practice. The book also includes chapters on transportation models, assignment models and network analysis.
This book Useful for Management students.
1. Decision Making: A Quantitative Approach
SECTION A Linear Programming
2. Linear Programming: Graphic Method
3. Linear Programming: Simplex Method
SECTION B Stochastic Techniques
5. Probability Distributions
6. Decision Theory
7. Theory of Games
SECTION C Mathematics for Managers
8. Matrix Algebra
9. Differential Calculus
10. Regression and Correlation
SECTION D Extensions of Linear Programming
11. Transportation Model
12. Assignment Model
SECTION E Precedence Models
13. Network Models—CPM and PERT
APPENDIX A Standard Normal Probability Distribution
APPENDIX B Values of e–for Computing Poisson Probabilities
Answers to Concept Quiz
Answers to Selected Questions