Chandra Shekhar - Böcker

This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research.The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.

This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research.The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.

Corruption continues despite abundant government legislation, public protests, and an overwhelming consensus that it threatens modern liberal institutions, hard-earned global prosperity, human rights, and justice. While we understand corruption better than the ancients, the puzzle of why it remains a timeless societal vice remains unsolved. This book addresses that puzzle by challenging assumptions about individual behavior and bureaucratic design. It analyzes corruption in three of India's major state bureaucracies. The book argues that corruption is organized into grand and petty forms, rather than being uniform. Several markets for grand and petty corruption exist within bureaucracies, linked to and driven by the market for grand corruption in bureaucratic transfers controlled by politicians. The nature, strength, and stability of these linkages explain the persistence of corruption and why top-down approaches fail. The book offers an original account of corruption's 'sticky' nature and proposes an agenda for reform.

Corruption continues despite abundant government legislation, public protests, and an overwhelming consensus that it threatens modern liberal institutions, hard-earned global prosperity, human rights, and justice. While we understand corruption better than the ancients, the puzzle of why it remains a timeless societal vice remains unsolved. This book addresses that puzzle by challenging assumptions about individual behavior and bureaucratic design. It analyzes corruption in three of India's major state bureaucracies. The book argues that corruption is organized into grand and petty forms, rather than being uniform. Several markets for grand and petty corruption exist within bureaucracies, linked to and driven by the market for grand corruption in bureaucratic transfers controlled by politicians. The nature, strength, and stability of these linkages explain the persistence of corruption and why top-down approaches fail. The book offers an original account of corruption's 'sticky' nature and proposes an agenda for reform.

In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.This book·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems.·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities.·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity.This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.

The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects:Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithmsDiscusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory controlHighlights single and multi-objective optimization problems using pentagonal fuzzy numbersIllustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costsShowcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithmThe text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.

In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.This book·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems.·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities.·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity.This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.

The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects:Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithmsDiscusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory controlHighlights single and multi-objective optimization problems using pentagonal fuzzy numbersIllustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costsShowcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithmThe text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.

In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions. The compilation uncovers estimators for population proportion, product of two population means, and more, supported by empirical and simulation studies. Additionally, it scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This book· Traverses diverse fields for insights into real-world challenges.· Delves into the intricacies of the Lomax distribution under a Type II censoring scheme.· Uncovers estimators supported by empirical and simulation studies.· Scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This compilation promises a holistic exploration of advanced statistical and optimization methods, offering readers valuable insights into their pragmatic applications across a spectrum of real-world issues.

In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions. The compilation uncovers estimators for population proportion, product of two population means, and more, supported by empirical and simulation studies. Additionally, it scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This book· Traverses diverse fields for insights into real-world challenges.· Delves into the intricacies of the Lomax distribution under a Type II censoring scheme.· Uncovers estimators supported by empirical and simulation studies.· Scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This compilation promises a holistic exploration of advanced statistical and optimization methods, offering readers valuable insights into their pragmatic applications across a spectrum of real-world issues.

This book covers cutting-edge research that includes operations research and decision sciences. It examines finite queueing systems with unreliable service provisioning and feedback strategies. Retrial queueing systems with customer feedback and individual abandonments are dynamically investigated. The book presents fuzzy logic approaches for multi-objective transportation problems. Multi-objective programming methodologies effectively deal with problems associated with catastrophe management. Healthcare decision-making under uncertain contexts deserves special attention. Inventory models combine trade credit financing with credit-linked demand functions. Financial risk analysis, business estimation, and bilevel portfolio optimization strategies are thoroughly investigated.Features:Delves into practical approaches to operational research concerns, offering frameworks that address real-world scenarios.Introduces new techniques and strategies for problem-solving, involving the development of physical scenarios, effective algorithms, and straightforward implementation.Discusses topics such as inventory control models, RMS optimization, fuzzy optimization with unique membership functions, and traffic simulation for telecommunication networks.Covers mathematical perspectives, such as variable costs, perishable and non-perishable products for consumers, fuzzy decision variables, and constraint qualifications.Presents an in-depth analysis of the latest developments shaping the field of operations research.It is primarily written for graduate students and academic researchers in operations research, industrial engineering, systems engineering, production engineering, manufacturing engineering, mathematics, and quality control.