Appealing both to students on introductory courses for quantitative methods and relevance of quantitative methods of analysis to managers' decision-making. Part I Deals With Statistical Techniques For Decision Making. Part Ii Studies Various Operations Research Techniques For Managerial dancindonna.info Book. Quantitative Methods for Business and Management Business Statistics for contemporary Decision Making by Ken Black Load more similar PDF files.
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Get this from a library! Quantitative techniques for decision making. [Anand Sharma]. QUANTITATIVE TECHNIQUES FOR DECISION MAKING - Kindle edition by M. P. Khanna, R. B. Gupta. Download it once and read it on your Kindle device, PC. Download quantitative techniques for decision making ebook. Page 2. An Introduction to Management Science: Quantitative Approaches to Decision Making.
This item is presently Out of Stock. Quantitative Techniques For Decision Making Book Description This uptodate text, now in its Second Edition, gives an indepth and incisive analysis of the various mathematical techniques required for managers in their decision making process. The authors, with many years of teaching experience, endeavour to demystify the subject so as to bring it within the grasp of an average student. The book provides a clear understanding of the practical utility of mathematical modelling and techniques such as linear programming, integer programming, goal programming, dynamic programming, game theory, queuing theory, simulation theory, and Markov analysis. These concepts are explained in such a fashion that even a student with high school mathematics background can understand them.
Sampling Distributions. Other Confidence lntervals.
Tests on a Sample Mean. Quality Control and Quality Management. Control Charts for Attribute Variables. The Need for Forecasting. Timeseries Models. Useful online resources. Financial Decision Making.
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Decision making -- Mathematical models. Selling Price: You will save: Khanna Number of Pages Available.
Snapshot About the book. New to This Edition: New solved and unsolved problems.
Preface to the First Edition. Decision Making: A Quantitative Approach. Linear Programming: Graphic Method. Simplex Method. Transportation Model. Assignment Model.
Integer Programming. Goal Programming. Dynamic Programming. Probability Distributions.