Quantitative Techniques for Decision Making

Modern management with its dynamic environment is, therefore, adopting some useful techniques as helping tools. These techniques help in reducing large problem into manageable form. It is in this context, that you, the readers, will find this book useful. The Quantitative Techniques thus are required to be integral constituent of the curricula of practically all the universities and professional institutions. The book, therefore, is intended to be useful not only to management students, and business managers, but also for the studies of M.Com., CA, ICWA etc. CONTENTS - Part I - Mathematics at a Glanace 1. Functions, Limits and Continuity 2. Differentiation and Partial Derivatives 3. Integral Calculus 4. Determinants and Matrices 5. Sets Theory 6. Permutations and Combinations Part II - Statistics for Business 7. Statistics and its Utility 8. Measure of Central Tendency and Location 9. Dispersion, Skewness and Kurtosis 10. Simple Regression and Correlation Analysis 11. Time Series Analysis and Forecasting 12. Theory of Probability 13. Theoretical Probability Distribution 14. Sampling Theory and Sampling Distribution 15. Theory of Estimation and Testing of Hypothesis 16. Analysis of Variance(ANOVA) Part III - Operation Research 17. Operations Research For Decision Making 18. Linear Programming − Model Formulation 19. Solution of LP Problems "Graphical Method" 20. Linear Programming "Simplex Method" 21. Goal Programming 22. Integer Programming