"The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision-making 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 optimizations 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"--
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. 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.
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision-making 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 optimisations 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.
| Preface |
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iii | |
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1 A New Version of the Generalized Rayleigh Distribution with Copula, Properties, Applications and Different Methods of Estimation |
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1 | (20) |
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2 Expanding the Burr X Model: Properties, Copula, Real Data Modeling and Different Methods of Estimation |
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21 | (22) |
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3 Transmuted Burr Type X Model with Applications to Life Time Data |
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43 | (16) |
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4 Monitoring Patients Blood Level through Enhanced Control Chart |
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59 | (9) |
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5 Goodness of Fit in Parametric and Non-parametric Econometric Models |
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68 | (23) |
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6 Stochastic Models for Cancer Progression and its Optimal Programming for Control with Chemotherapy |
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91 | (26) |
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7 A New Unrelated Question Model with Two Questions Per Card |
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117 | (10) |
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8 Hybrid of Simple Model and a New Unrelated Question Model for Two Sensitive Characteristics |
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127 | (38) |
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9 Hybrid of Crossed Model and a New Unrelated Question Model for Two Sensitive Characteristics |
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165 | (41) |
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10 Modified Regression Type Estimator by Ingeniously Utilizing Probabilities for more Efficient Results in Randomized Response Sampling |
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206 | (18) |
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11 Ratio and Regression Type Estimators for a New Measure of Coefficient of Dispersion Relative to the Empirical Mode |
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224 | (48) |
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12 Class of Exponential Ratio Type Estimator for Population Mean in Adaptive Cluster Sampling |
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272 | (8) |
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Akingbade Toluwalase Janet |
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13 An Inventory Model for Substitutable Deteriorating Products under Fuzzy and Cloud Fuzzy Demand Rate |
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280 | (11) |
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14 Co-ordinated Selling Price and Replenishment Policies for Duopoly Retailers under Quadratic Demand and Deteriorating Nature of Items |
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291 | (11) |
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15 Quadratic Programming Approach for the Optimal Multi-objective Transportation Problem |
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302 | (6) |
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16 Analyzing Multi-Objective Fixed-Charge Solid Transportation Problem under Rough and Fuzzy-Rough Environments |
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308 | (13) |
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17 Overall Shale Gas Water Management: A Neutrosophic Optimization Approach |
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321 | (13) |
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18 Memory Effect on an EOQ Model with Price Dependant Demand and Deterioration |
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334 | (10) |
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19 Optimality Conditions of an Unconstrained Imprecise Optimization Problem via Interval Order Relation |
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344 | (8) |
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20 Power Comparison of Different Goodness of Fit Tests for Beta Generalized Weibull Distribution |
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352 | (9) |
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21 On the Transmuted Modified Lindley Distribution: Theory and Applications to Lifetime Data |
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361 | (9) |
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22 Adjusted Bias and Risk for Estimating Treatment Effect after Selection with an Application in Idiopathic Osteoporosis |
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370 | (8) |
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23 Validity Judgement of an EOQ Model using Phi-coefficient |
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378 | (10) |
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24 Uncertain Chance-Constrained Multi-Objective Geometric Programming Problem |
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388 | (18) |
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25 Optimal Decision Making for the Prediction of Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients |
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406 | (19) |
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| Index |
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425 | |
Irfan Ali received his B.Sc., M.Sc., M.Phil., and Ph.D. degrees from Aligarh Muslim University, Aligarh. He is currently working as an Assistant Professor with the Department of Statistics and Operations Research, A.M.U., Aligarh. His research interests include applied statistics and optimization. He has published more than 80 research articles in reputed journals and serves as a reviewer for several journals. He has delivered invited lectures in several universities and Institutions. He was awarded with Post Graduate Merit Scholarship during his M.Sc. (statistics) and the UGC-BSR Scholarship during his Ph.D. (statistics).
Leopoldo Eduardo Cardenas-Barron is a researcher of the research group in Optimization and Data Science. He is a member of the Mexican Research National System since 2015. Earlier, in 1996, had joined the Industrial and Systems Engineering Department at Tecnológico de Monterrey, where he was appointed to Assistant Professor in 1997, Associate Professor in 2001, and Professor in 2007.
Aquil Ahmed obtained his Ph.D. from the University of Roorkee (Presently 1.1.T., Roorkee). He is the Founder Head, Department of Statistics and Former Dean, Faculty of Material Science, University of Kashmir, Srinagar. He served the University of Kashmir, Srinagar for more than 26 years before joining the Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh in 2014. He has also served at the Asian Institute of Technology, Bangkok, Thailand and Qassim University, K.S.A. He is currently working as the Chairman, Department of Statistics and Operations Research, A.M.U., Aligarh.
Ali Akbar Shaikh is Assistant Professor in Mathematics at The University of Burdwan, Burdwan, West Bengal, India. He was a postdoctoral fellow at School of Engineering and Sciences of Tecnológico de Monterrey, Mexico. He was awarded SNI of level 1 (out of 0-3) by National System of Researchers of Mexico, the government of Mexico in the year 2017.
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