Dar, amir ahmad (28 résultats)

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Taschenbuch. Etat : Neu. Reserving and its types | (i) average cost per claim method,(ii) the basic chain ladder method and (iii) Bornhuetter-Fergus | Amir Ahmad Dar (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | Scholars' Press | EAN 9783330652538 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Etat : Neu. Derivatives - Options and Their Applications | Amir Ahmad Dar | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786205522769 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Etat : New. Amir Ahmad Dar, PhD, is an Assistant Professor in the Department of Statistics at Lovely Professional University in India. Dr. Dar has an impressive academic portfolio, having published research papers and book chapters. He has presented.

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Buch. Etat : Neu. Neuware - Offering a wide range of case studies, this new book highlights the practical applications of integrating quality management, data analysis, and multidisciplinary research for solving urgent environmental challenges, improving public health and company operations, and more. By bridging the gap between theory and practice, it emphasizes the transformative power of data and interdisciplinary approaches in addressing complex challenges and driving innovation.This book highlights many methods and applications for data analysis and interdisciplinary research, including various statistical methods, CUSUM (Cumulative Sum) control charts, Poisson distribution models, the Bayesian approach, software programs like Mathematica, machine learning algorithms, big data, and more. The book applies data analysis approaches in addressing complex challenges in many areas, including for environmental problems such as measuring air pollution; in socioeconomic issues like insurance costs and dynamics; in healthcare such as for analyzing epidemiological data (such as from the COVID-19 pandemic); in the agricultural sector, such as to understand and forecast agricultural trends and to enhance agricultural sustainability; and more.…

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reserving is one of the concepts in insurance industry. Reserving helps the insurer to meet the future losses and the liabilities for the insured in case of claim settlements. The most common purpose to calculate a reserve are to determine liabilities to be shown in the insurer's published accounts if separate accounts have to be prepared for the purpose of supervision of solvency, to determine the liabilities to be shown in those accounts to determine the liabilities to be shown in internal management accounts, business plans and budgets to provide an independent opinion on the reasonableness or adequacy of the reserves booked by the insurer. to provide information to management as to how areas of the business are performing, and provide an indication as to the profitability of business currently being written to estimate the claims costs incurred in recent periods as an intermediate step in the rating process. to value the insurer for purchase or sale given that any estimated surplus or deficit in the booked reserves will directly affect the valuation of the company to negotiate a commutation for the buyer or seller 52 pp. Englisch.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dar Amir AhmadAmir Ahmad Dar from pahoo pulwama kashmir. I completed my BSc Actuarial and Financial Mathematics at Islamic university of science and technology awantipora kashmir and MSc in Actuarial science at BSAU. Now i am pursing.…

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reserving is one of the concepts in insurance industry. Reserving helps the insurer to meet the future losses and the liabilities for the insured in case of claim settlements. The most common purpose to calculate a reserve are ¿ to determine liabilities to be shown in the insurer's published accounts ¿ if separate accounts have to be prepared for the purpose of supervision of solvency, to determine the liabilities to be shown in those accounts ¿ to determine the liabilities to be shown in internal management accounts, business plans and budgets ¿ to provide an independent opinion on the reasonableness or adequacy of the reserves booked by the insurer. ¿ to provide information to management as to how areas of the business are performing, and provide an indication as to the profitability of business currently being written ¿ to estimate the claims costs incurred in recent periods as an intermediate step in the rating process. ¿ to value the insurer for purchase or sale given that any estimated surplus or deficit in the booked reserves will directly affect the valuation of the company ¿ to negotiate a commutation for the buyer or sellerVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Derivatives have become hugely important in finance in the last thirty years and this attention is on the part of business school students and practitioners themselves. Derivatives are traded on many exchanges throughout the world. The main derivatives are option, forward, future, and swap. The learning process is usually difficult in any new subject, this book is written in such a way so that the reader will easily understand the concept of derivatives. The book presents the concepts related to derivatives in a simple and accessible manner. The book begins by providing an introduction to the derivatives in Chapter 1. Chapter 2 deals with the Binomial option pricing model and its terminologies. Chapter 3 deals with the Black Scholes model and how to derive the partial differential equation of the Black Scholes model. Chapter 4 deals with the monte carlo simulation with Matlab codes and Chapter 5 deals with the application of the Black Sholes Model to find the probability default. A unique feature of the book is that the examples are solved using both Binomial Model and the Black Scholes model and also practice problems are also given at the end of the book. 188 pp. Englisch.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dar Amir AhmadDr Amir Ahmad Dar, Lecturer, Department of Mathematical Sciences, Islamic University of Science and Technology, India.Dr Qaisar Farroq, Scientist-C. Indian Council of Medical Research (ICMR), India.Dr Shahbaz Afzal, Ass.…

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Derivatives have become hugely important in finance in the last thirty years and this attention is on the part of business school students and practitioners themselves. Derivatives are traded on many exchanges throughout the world. The main derivatives are option, forward, future, and swap. The learning process is usually difficult in any new subject, this book is written in such a way so that the reader will easily understand the concept of derivatives. The book presents the concepts related to derivatives in a simple and accessible manner. The book begins by providing an introduction to the derivatives in Chapter 1. Chapter 2 deals with the Binomial option pricing model and its terminologies. Chapter 3 deals with the Black Scholes model and how to derive the partial differential equation of the Black Scholes model. Chapter 4 deals with the monte carlo simulation with Matlab codes and Chapter 5 deals with the application of the Black Sholes Model to find the probability default. A unique feature of the book is that the examples are solved using both Binomial Model and the Black Scholes model and also practice problems are also given at the end of the book.…

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Derivatives have become hugely important in finance in the last thirty years and this attention is on the part of business school students and practitioners themselves. Derivatives are traded on many exchanges throughout the world. The main derivatives are option, forward, future, and swap. The learning process is usually difficult in any new subject, this book is written in such a way so that the reader will easily understand the concept of derivatives. The book presents the concepts related to derivatives in a simple and accessible manner. The book begins by providing an introduction to the derivatives in Chapter 1. Chapter 2 deals with the Binomial option pricing model and its terminologies. Chapter 3 deals with the Black Scholes model and how to derive the partial differential equation of the Black Scholes model. Chapter 4 deals with the monte carlo simulation with Matlab codes and Chapter 5 deals with the application of the Black Sholes Model to find the probability default. A unique feature of the book is that the examples are solved using both Binomial Model and the Black Scholes model and also practice problems are also given at the end of the book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.…

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Hardcover. Etat : new. Hardcover. Offering a wide range of case studies, this new book highlights the practical applications of integrating quality management, data analysis, and multidisciplinary research for solving urgent environmental challenges, improving public health and company operations, and more. By bridging the gap between theory and practice, it emphasizes the transformative power of data and interdisciplinary approaches in addressing complex challenges and driving innovation.This book highlights many methods and applications for data analysis and interdisciplinary research, including various statistical methods, CUSUM (Cumulative Sum) control charts, Poisson distribution models, the Bayesian approach, software programs like Mathematica, machine learning algorithms, big data, and more. The book applies data analysis approaches in addressing complex challenges in many areas, including for environmental problems such as measuring air pollution; in socioeconomic issues like insurance costs and dynamics; in healthcare such as for analyzing epidemiological data (such as from the COVID-19 pandemic); in the agricultural sector, such as to understand and forecast agricultural trends and to enhance agricultural sustainability; and more. Offers methods for data analysis and interdisciplinary research, including statistical methods, CUSUM control charts, Poisson models, Bayesian approach, software programs, ML algorithms, big data, and more for addressing complex challenges in areas including environmental problems, healthcare, agriculture, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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Hardcover. Etat : new. Hardcover. The interplay between mathematics, finance, and technology is becoming increasingly intricate and vital in todays rapidly evolving world. This book explores this complex relationship, offering a thorough examination of advanced theories, models, and applications that are shaping the future across these interconnected fields. The chapters have been curated to reflect the diversity of current research and its practical implications, providing readers with a deeper understanding of both foundational concepts and innovative developments.Divided into three sections, Advances in Statistical Modeling and Financial Machine Learning offers studies in foundations and developments in mathematical and statistical models, mathematical models in finance and emerging technological impacts, and control systems, fuzzy logic, and decision-making in complex environments.The book begins with an exploration of queuing models, a fundamental area of operations research, which, while theoretical, has real-world applications in various industries, including telecommunications, healthcare, and retail, where managing customer flow and service time is essential for operational success. The book looks into the realm of statistical inference, focusing on stress-strength reliability measures, important in the fields of engineering, manufacturing, and quality control, providing valuable insights into risk assessment. A comparative study of exponentiated distributions is presented, highlighting the importance of selecting the appropriate statistical distribution to model data accurately, a decision that can significantly impact the outcomes of research and analysis.The volume also looks at the transformative effects of the Fintech revolution, which is redefining how banking and finance operate, creating new opportunities for innovation while also presenting significant challenges. Chapters explore the impact of Fintech on traditional banking models, mathematical models for option pricing, the growing influence of machine learning in education, using data-driven strategies for stock price prediction.Several novel modeling systems are discussed, such as using exponential weighted moving average control charts, smart decision-making with Pythagorean fuzzy sets in granular uncertainty, generalized uncertainty principles for WignerVille distribution associated with the quaternion linear canonical transform, and fixed points in ordered metric spaces.Offering a holistic view of the advancements in mathematics, finance, and technology, this volume will inspire new ideas and foster a deeper understanding of the intricate relationships that define these fields. By integrating advanced theoretical concepts with their practical applications, it offers a well-rounded understanding of the challenges and opportunities that characterize these fields today. Looks at relationship between statistical modeling and financial machine learning, covering advanced theories, models, and applications. Explores queuing models, statistical inference, exponentiated distributions, the transformative effects of the Fintech revolution, decision-making with Pythagorean fuzzy sets, etc. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Hardcover. Etat : new. Hardcover. The interplay between mathematics, finance, and technology is becoming increasingly intricate and vital in todays rapidly evolving world. This book explores this complex relationship, offering a thorough examination of advanced theories, models, and applications that are shaping the future across these interconnected fields. The chapters have been curated to reflect the diversity of current research and its practical implications, providing readers with a deeper understanding of both foundational concepts and innovative developments.Divided into three sections, Advances in Statistical Modeling and Financial Machine Learning offers studies in foundations and developments in mathematical and statistical models, mathematical models in finance and emerging technological impacts, and control systems, fuzzy logic, and decision-making in complex environments.The book begins with an exploration of queuing models, a fundamental area of operations research, which, while theoretical, has real-world applications in various industries, including telecommunications, healthcare, and retail, where managing customer flow and service time is essential for operational success. The book looks into the realm of statistical inference, focusing on stress-strength reliability measures, important in the fields of engineering, manufacturing, and quality control, providing valuable insights into risk assessment. A comparative study of exponentiated distributions is presented, highlighting the importance of selecting the appropriate statistical distribution to model data accurately, a decision that can significantly impact the outcomes of research and analysis.The volume also looks at the transformative effects of the Fintech revolution, which is redefining how banking and finance operate, creating new opportunities for innovation while also presenting significant challenges. Chapters explore the impact of Fintech on traditional banking models, mathematical models for option pricing, the growing influence of machine learning in education, using data-driven strategies for stock price prediction.Several novel modeling systems are discussed, such as using exponential weighted moving average control charts, smart decision-making with Pythagorean fuzzy sets in granular uncertainty, generalized uncertainty principles for WignerVille distribution associated with the quaternion linear canonical transform, and fixed points in ordered metric spaces.Offering a holistic view of the advancements in mathematics, finance, and technology, this volume will inspire new ideas and foster a deeper understanding of the intricate relationships that define these fields. By integrating advanced theoretical concepts with their practical applications, it offers a well-rounded understanding of the challenges and opportunities that characterize these fields today. Looks at relationship between statistical modeling and financial machine learning, covering advanced theories, models, and applications. Explores queuing models, statistical inference, exponentiated distributions, the transformative effects of the Fintech revolution, decision-making with Pythagorean fuzzy sets, etc. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Buch. Etat : Neu. Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research | Amir Ahmad Dar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Apple Academic Press | EAN 9781779641007 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…