Paolo Brandimarte's Books

Quantitative Methods

An Introduction for Business Management

By: Paolo Brandimarte

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Quantitative Methods

An Introduction for Business Management

By: Paolo Brandimarte

An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.

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812

Publisher

John Wiley & Sons

Published Date

ISBN 10

111802348X

ISBN 13

9781118023488

Quantitative Methods

An Introduction for Business Management

By: Paolo Brandimarte

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Quantitative Methods

An Introduction for Business Management

By: Paolo Brandimarte

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812

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John Wiley & Sons

Published Date

ISBN 10

111802348X

ISBN 13

9781118023488

Numerical Methods in Finance

A MATLAB-Based Introduction

By: Paolo Brandimarte

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Numerical Methods in Finance

A MATLAB-Based Introduction

By: Paolo Brandimarte

Balanced coverage of the methodology and theory of numerical methods in finance Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications. Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided. The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students-yet still a useful reference for practitioners-Numerical Methods in Finance offers an expert introduction to powerful tools in finance.

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429

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John Wiley & Sons

Published Date

ISBN 10

0471461695

ISBN 13

9780471461692

Handbook in Monte Carlo Simulation

Applications in Financial Engineering, Risk Management, and Economics

By: Paolo Brandimarte

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Handbook in Monte Carlo Simulation

Applications in Financial Engineering, Risk Management, and Economics

By: Paolo Brandimarte

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

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620

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118594517

ISBN 13

9781118594513

Numerical Methods in Finance and Economics

A MATLAB-Based Introduction

By: Paolo Brandimarte

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Numerical Methods in Finance and Economics

A MATLAB-Based Introduction

By: Paolo Brandimarte

A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

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501

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118625579

ISBN 13

9781118625576

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

By: Franco Taroni,Alex Biedermann,Silvia Bozza,Paolo Garbolino,Colin Aitken

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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

By: Franco Taroni,Alex Biedermann,Silvia Bozza,Paolo Garbolino,Colin Aitken

Bayesian Networks “This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.” Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science Second Edition Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader’s own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

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Page Count

472

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118914740

ISBN 13

9781118914748

Data Analysis in Forensic Science

A Bayesian Decision Perspective

By: Franco Taroni,Silvia Bozza,Alex Biedermann,Paolo Garbolino,Colin Aitken

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Data Analysis in Forensic Science

A Bayesian Decision Perspective

By: Franco Taroni,Silvia Bozza,Alex Biedermann,Paolo Garbolino,Colin Aitken

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into two parts: Part One concentrates on the philosophies of statistical inference. Chapter One examines the differences between the frequentist, the likelihood and the Bayesian perspectives, before Chapter Two explores the Bayesian decision-theoretic perspective further, and looks at the benefits it carries. Part Two then introduces the reader to the practical aspects involved: the application, interpretation, summary and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods, essential in the analysis of forensic scientific data is explored. These include the comparison of allele proportions in populations, the comparison of means, the choice of sampling size, and the discrimination of items of evidence of unknown origin into predefined populations. Throughout this practical appraisal there are a wide variety of examples taken from the routine work of forensic scientists. These applications are demonstrated in the ever-more popular R language. The reader is taken through these applied examples in a step-by-step approach, discussing the methods at each stage.

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388

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470665076

ISBN 13

9780470665077

Hydro-Meteorological Hazards, Risks, and Disasters

By: Paolo Paron

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Hydro-Meteorological Hazards, Risks, and Disasters

By: Paolo Paron

Hydro-Meteorological Hazards, Risks, and Disasters, 2e, provides an integrated look at the major disasters that have had, and continue to have, major implications for many of the world's people, such as floods and droughts. This new edition takes a geoscientific approach to the topic, while also covering current thinking about some scientific issues that are socially relevant and can directly affect human lives and assets. This new edition showcases both academic and applied research conducted in developed and developing countries, allowing readers to see the most updated flood and drought modeling research and their applications in the real world, including for humanitarian emergency purposes. Hydro-Meteorological Hazards, Risks, and Disasters, 2e, also contains new insights about how climate change affects hazardous processes. For the first time, information on the many diverse topics relevant to professionals is aggregated into one volume. It is a valuable reference to researchers, graduates, scientists, physical geographers, urban planners, landscape architects, and other people who work on the build environments of the world. - Cutting-edge discussion of natural hazard topics that affect the lives and livelihoods of millions of people worldwide - Includes numerous full-color tables, GIS maps, diagrams, illustrations, and photographs of hazardous process in action - Provides case studies of prominent hydro-meteorological hazards and disasters

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388

Publisher

Elsevier

Published Date

ISBN 10

0128191023

ISBN 13

9780128191026

Handbook in Monte Carlo Simulation

Applications in Financial Engineering, Risk Management, and Economics

By: Paolo Brandimarte

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Handbook in Monte Carlo Simulation

Applications in Financial Engineering, Risk Management, and Economics

By: Paolo Brandimarte

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688

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118593642

ISBN 13

9781118593646

Numerical Methods in Finance

A MATLAB-Based Introduction

By: Paolo Brandimarte

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Numerical Methods in Finance

A MATLAB-Based Introduction

By: Paolo Brandimarte

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429

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John Wiley & Sons

Published Date

ISBN 10

0471461695

ISBN 13

9780471461692

Numerical Methods in Finance and Economics

A MATLAB-Based Introduction

By: Paolo Brandimarte

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Numerical Methods in Finance and Economics

A MATLAB-Based Introduction

By: Paolo Brandimarte

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501

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John Wiley & Sons

Published Date

ISBN 10

1118625579

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9781118625576

From Shortest Paths to Reinforcement Learning

A MATLAB-Based Tutorial on Dynamic Programming

By: Paolo Brandimarte

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From Shortest Paths to Reinforcement Learning

A MATLAB-Based Tutorial on Dynamic Programming

By: Paolo Brandimarte

Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.

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216

Publisher

Springer Nature

Published Date

ISBN 10

3030618676

ISBN 13

9783030618674

Advanced Models for Manufacturing Systems Management

By: A Villa

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Advanced Models for Manufacturing Systems Management

By: A Villa

This book presents the mathematical models applicable to manufacturing systems management, covering problems from production to real time control. It explores manufacturing systems from the viewpoints of both physical structure and performance measures. Two broad classes of mathematical models are covered in detail: Generative models, which yield a set of decision variables optimizing a performance measure, based on mathematical optimization Evaluative models, which evaluate some performance measures as a function of some predefined decision strategy. Within this class Petri Nets and Queueing Networks are discussed. Advanced Models for Manufacturing Systems Management describes dynamic systems modeling by state equations, a unifying framework for a wide variety of models. The text/reference stresses model building, but it examines model solving as well. Computational techniques are illustrated, such as linear programming, branch and bound methods, and dynamic programming. Particular emphasis is given to the development of heuristic methods from mathematical models. The book provides readers with valuable tools for management and design. The use of descriptive models within an optimization algorithm is considered. Numerous examples illustrate theoretical concepts throughout text. Appendices are given at the end of the book in order to recall fundamentals, such as linear programming and graph theory. Appendices also appear within each chapter. In this way, readers can follow the main reading path without getting involved with details; these appendices can be read at a later time. This textual structure makes this book particularly well suited for self-study. Advanced Models for Manufacturing Systems Management is beneficial reading for both students and practitioners.

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Page Count

426

Publisher

CRC Press

Published Date

ISBN 10

0849383323

ISBN 13

9780849383328

Introduction to Distribution Logistics

By: Paolo Brandimarte,Giulio Zotteri

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Introduction to Distribution Logistics

By: Paolo Brandimarte,Giulio Zotteri

unique introduction to distribution logistics that focuses on both quantitative modeling and practical business issues Introduction to Distribution Logistics presents a complete and balanced treatment of distribution logistics by covering both applications and the required theoretical background, therefore extending its reach to practitioners and students in a range of disciplines such as management, engineering, mathematics, and statistics. The authors emphasize the variety and complexity of issues and sub-problems surrounding distribution logistics as well as the limitations and scope of applicability of the proposed quantitative tools. Throughout the book, readers are provided with the quantitative approaches needed to handle real-life management problems, and areas of study include: Supply chain management Network design and transportation Demand forecasting Inventory control in single- and multi-echelon systems Incentives in the supply chain Vehicle routing Complete with extensive appendices on probability and statistics as well as mathematical programming, Introduction to Distribution Logistics is a valuable text for distribution logistics courses at both the advanced undergraduate and beginning graduate levels in a variety of disciplines, and prior knowledge of production planning is not assumed. The book also serves as a useful reference for practitioners in the fields of applied mathematics and statistics, manufacturing engineering, business management, and operations research. The book's related Web site includes additional sections and numerical illustrations.

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Page Count

608

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470170042

ISBN 13

9780470170045

Modeling Manufacturing Systems

From Aggregate Planning to Real-Time Control

By: Paolo Brandimarte,Agostino Villa

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Modeling Manufacturing Systems

From Aggregate Planning to Real-Time Control

By: Paolo Brandimarte,Agostino Villa

Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.

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Page Count

236

Publisher

Springer Science & Business Media

Published Date

ISBN 10

354065500X

ISBN 13

9783540655008

Book's by Paolo Brandimarte

Quantitative Methods

Quantitative Methods

Quantitative Methods

Quantitative Methods

Numerical Methods in Finance

Numerical Methods in Finance

Handbook in Monte Carlo Simulation

Handbook in Monte Carlo Simulation

Numerical Methods in Finance and Economics

Numerical Methods in Finance and Economics

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Data Analysis in Forensic Science

Data Analysis in Forensic Science

Hydro-Meteorological Hazards, Risks, and Disasters

Hydro-Meteorological Hazards, Risks, and Disasters

Handbook in Monte Carlo Simulation

Handbook in Monte Carlo Simulation

Numerical Methods in Finance

Numerical Methods in Finance

Numerical Methods in Finance and Economics

Numerical Methods in Finance and Economics

From Shortest Paths to Reinforcement Learning

From Shortest Paths to Reinforcement Learning

Advanced Models for Manufacturing Systems Management

Advanced Models for Manufacturing Systems Management

Introduction to Distribution Logistics

Introduction to Distribution Logistics

Modeling Manufacturing Systems

Modeling Manufacturing Systems

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