Quantitative Techniques For Managerial Decisions

Quantitative Techniques For Managerial Decisions

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Product Specifications

Publisher PHI Learning All Finance books by PHI Learning
ISBN 9788120345966
Author: R. B. Khanna
Number of Pages 589
Available
Available in all digital devices
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Quantitative Techniques For Managerial Decisions by R. B. Khanna
Book Summary:
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.

Audience of the Book :
This book Useful for Management students.
Table of Contents:

1. Decision Making: A Quantitative Approach

SECTION A Linear Programming

2. Linear Programming: Graphic Method

3. Linear Programming: Simplex Method

SECTION B Stochastic Techniques

4. Probability

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

Bibliography

Answers to Concept Quiz

Answers to Selected Questions

Index