Optimal Decision Making in Operations Research and Statistics
eBook - PDF

Optimal Decision Making in Operations Research and Statistics

Methodologies and Applications

  1. 428 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Optimal Decision Making in Operations Research and Statistics

Methodologies and Applications

About this book

The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision­making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions.

The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.

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Yes, you can access Optimal Decision Making in Operations Research and Statistics by Irfan Ali, Leopoldo Eduardo Cárdenas-Barrón, Aquil Ahmed, Ali Akbar Shaikh, Irfan Ali,Leopoldo Eduardo Cárdenas-Barrón,Aquil Ahmed,Ali Akbar Shaikh in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2021
eBook ISBN
9781000404722
Edition
1
Topic
Business
Subtopic
Operations
Index
Business

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Copyright Page
  4. Preface
  5. Contents
  6. 1. A New Version of the Generalized Rayleigh Distribution with Copula, Properties, Applications and Different Methods of Estimation
  7. 2. Expanding the Burr X Model: Properties, Copula, Real Data Modeling and Different Methods of Estimation
  8. 3. Transmuted Burr Type X Model with Applications to Life Time Data
  9. 4. Monitoring Patients Blood Level through Enhanced Control Chart
  10. 5. Goodness of Fit in Parametric and Non-parametric Econometric Models
  11. 6. Stochastic Models for Cancer Progression and its Optimal Programming for Control with Chemotherapy
  12. 7. A New Unrelated Question Model with Two Questions Per Card
  13. 8. Hybrid of Simple Model and a New Unrelated Question Model for Two Sensitive Characteristics
  14. 9. Hybrid of Crossed Model and a New Unrelated Question Model for Two Sensitive Characteristics
  15. 10. Modified Regression Type Estimator by Ingeniously Utilizing Probabilities for more Efficient Results in Randomized Response Sampling
  16. 11. Ratio and Regression Type Estimators for a New Measure of Coefficient of Dispersion Relative to the Empirical Mode
  17. 12. Class of Exponential Ratio Type Estimator for Population Mean in Adaptive Cluster Sampling
  18. 13. An Inventory Model for Substitutable Deteriorating Products under Fuzzy and Cloud Fuzzy Demand Rate
  19. 14. Co-ordinated Selling Price and Replenishment Policies for Duopoly Retailers under Quadratic Demand and Deteriorating Nature of Items
  20. 15. Quadratic Programming Approach for the Optimal Multi-objective Transportation Problem
  21. 16. Analyzing Multi-Objective Fixed-Charge Solid Transportation Problem under Rough and Fuzzy-Rough Environments
  22. 17. Overall Shale Gas Water Management: A Neutrosophic Optimization Approach
  23. 18. Memory Effect on an EOQ Model with Price Dependant Demand and Deterioration
  24. 19. Optimality Conditions of an Unconstrained Imprecise Optimization Problem via Interval Order Relation
  25. 20. Power Comparison of Different Goodness of Fit Tests for Beta Generalized Weibull Distribution
  26. 21. On the Transmuted Modified Lindley Distribution: Theory and Applications to Lifetime Data
  27. 22. Adjusted Bias and Risk for Estimating Treatment Effect after Selection with an Application in Idiopathic Osteoporosis
  28. 23. Validity Judgement of an EOQ Model using Phi-coefficient
  29. 24. Uncertain Chance-Constrained Multi-Objective Geometric Programming Problem
  30. 25. Optimal Decision Making for the Prediction of Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients
  31. Index