Practical Monte Carlo Simulation with Excel - Part 1 of 2

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Publisher : Gatekeeper Press
ISBN 13 : 1642371564
Total Pages : 4864 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Practical Monte Carlo Simulation with Excel - Part 1 of 2 by : Akram Najjar

Download or read book Practical Monte Carlo Simulation with Excel - Part 1 of 2 written by Akram Najjar and published by Gatekeeper Press. This book was released on 2018-04-18 with total page 4864 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Monte Carlo Simulation with Excel - Part 2 of 2

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Author :
Publisher : Gatekeeper Press
ISBN 13 : 1642371572
Total Pages : 11326 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Practical Monte Carlo Simulation with Excel - Part 2 of 2 by : Akram Najjar

Download or read book Practical Monte Carlo Simulation with Excel - Part 2 of 2 written by Akram Najjar and published by Gatekeeper Press. This book was released on 2018-04-18 with total page 11326 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a fair number of stand alone applications as well as add on’s to Microsoft Excel in the market to be used to run Monte Carlo Simulation (MCS) models. However, out of the box, Excel has all the functions you need to develop such models. What is needed are robust modeling procedures, techniques and analytic formulations. Initially, I started with one book. This grew out of proportion as more and more applications and models were identified. Some of these had not been modeled with MCS before. I had to break the book into two parts. Part 1 presents the basics of modeling always providing methods and typical models as applications of simulation. Part 1 also spends time on clarifying different ways of analyzing the simulation output using a variety of statistical functions and procedures all found within Excel. The eBook clarifies a variety of Excel facilities needed in different parts of simulation: sensitivity analysis, linear regression and the Analysis Toolpack. Finally, Part 1 presents a few standard modeling techniques that can be used in a variety of models, specifically in Part 2. Part 2 concentrates on applications such as project management, acceptance sampling, sales and budget forecasting, queuing models, reliability engineering and more. Since these operations behave according to specific statistical distributions, time is spent on clarifying a variety of these functions. When one or two are not available in Excel, alternative methods of computation are presented. A special chapter addresses Markov Processes and shows how simulation can be coupled to such an analysis. The uses and applications of statistical distributions in these operations are addressed in depth. Having covered Uniform, Normal and Discrete Distributions in Part 1, Part 2 proceeds to present and give applications for the following distributions: binomial, negative binomial, geometric, hypergeometric, triangular (not commonly used but is the basis as to why betaPERT is preferred), Poisson, exponential, Gamma and Weibull. No programming is required although in one single case, an embedded VBA module is included. It is used to formulate a method that allows the analyst to develop a two level simulation. To get the results of each of the primary runs in the model, the model runs a further “sub-simulation”. No VBA competence is required. The two eBooks come with 21 and 54 step by step models, respectively, and with supporting images. Whenever statistical functions are used, they are fully clarified using a common sense and non-theoretical approach. All the workouts are solved and are available for download from this page.

Introductory Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521843195
Total Pages : 810 pages
Book Rating : 4.8/5 (431 download)

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Book Synopsis Introductory Econometrics by : Humberto Barreto

Download or read book Introductory Econometrics written by Humberto Barreto and published by Cambridge University Press. This book was released on 2006 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.

Excel Simulations

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Publisher : Tickling Keys, Inc.
ISBN 13 : 1615473351
Total Pages : 177 pages
Book Rating : 4.6/5 (154 download)

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Book Synopsis Excel Simulations by : Gerard M. Verschuuren

Download or read book Excel Simulations written by Gerard M. Verschuuren and published by Tickling Keys, Inc.. This book was released on 2013-11-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.

Monte Carlo Methods

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Publisher : Springer Nature
ISBN 13 : 303102429X
Total Pages : 123 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Monte Carlo Methods by : Sujaul Chowdhury

Download or read book Monte Carlo Methods written by Sujaul Chowdhury and published by Springer Nature. This book was released on 2022-06-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but wish to know how they work. All treatments have been done as much manually as is practicable. The treatments are deliberately manual to let the readers get the real feel of how Monte Carlo Methods work. Definite integrals of a total of five functions (), namely Sin(), Cos(), e, loge(), and 1/(1+2), have been evaluated using constant, linear, Gaussian, and exponential probability density functions (). It is shown that results agree with known exact values better if () is proportional to (). Deviation from the proportionality results in worse agreement. This book is on Monte Carlo Methods which are numerical methods for Computational Physics. These are parts of a syllabus for undergraduate students of Mathematics and Physics for the course titled "Computational Physics." Need for the book: Besides the three referenced books, this is the only book that teaches how basic Monte Carlo methods work. This book is much more explicit and easier to follow than the three referenced books. The two chapters on the Variational Quantum Monte Carlo method are additional contributions of the book. Pedagogical features: After a thorough acquaintance with background knowledge in Chapter 1, five thoroughly worked out examples on how to carry out Monte Carlo integration is included in Chapter 2. Moreover, the book contains two chapters on the Variational Quantum Monte Carlo method applied to a simple harmonic oscillator and a hydrogen atom. The book is a good read; it is intended to make readers adept at using the method. The book is intended to aid in hands-on learning of the Monte Carlo methods.

Practical Spreadsheet Modeling Using @Risk

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Publisher : CRC Press
ISBN 13 : 0429508700
Total Pages : 222 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Practical Spreadsheet Modeling Using @Risk by : Dale Lehman

Download or read book Practical Spreadsheet Modeling Using @Risk written by Dale Lehman and published by CRC Press. This book was released on 2019-11-11 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on real data and relevant practical decisions in a variety of settings, including health care, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment. All examples involve decision problems where uncertainties make simulation modeling useful to obtain decision insights and explore alternative choices. Good spreadsheet modeling practices are highlighted. The book is suitable for graduate students or advanced undergraduates in business, public policy, health care administration, or any field amenable to simulation modeling of decision problems. The book is also useful for applied practitioners seeking to build or enhance their spreadsheet modeling skills. Features Step-by-step examples of spreadsheet modeling and risk analysis in a variety of fields Description of probabilistic methods, their theoretical foundations, and their practical application in a spreadsheet environment Extensive example models and exercises based on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a free one-year educational software license

Practical Spreadsheet Modeling Using @Risk

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Author :
Publisher : CRC Press
ISBN 13 : 0429509324
Total Pages : 572 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Practical Spreadsheet Modeling Using @Risk by : Dale Lehman

Download or read book Practical Spreadsheet Modeling Using @Risk written by Dale Lehman and published by CRC Press. This book was released on 2019-11-11 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on real data and relevant practical decisions in a variety of settings, including health care, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment. All examples involve decision problems where uncertainties make simulation modeling useful to obtain decision insights and explore alternative choices. Good spreadsheet modeling practices are highlighted. The book is suitable for graduate students or advanced undergraduates in business, public policy, health care administration, or any field amenable to simulation modeling of decision problems. The book is also useful for applied practitioners seeking to build or enhance their spreadsheet modeling skills. Features Step-by-step examples of spreadsheet modeling and risk analysis in a variety of fields Description of probabilistic methods, their theoretical foundations, and their practical application in a spreadsheet environment Extensive example models and exercises based on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a free one-year educational software license

Excel Data Analysis

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Publisher : Springer
ISBN 13 : 3030012794
Total Pages : 358 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Excel Data Analysis by : Hector Guerrero

Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer. This book was released on 2018-12-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.

Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119143012
Total Pages : 392 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences by : David L. Johnson

Download or read book Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences written by David L. Johnson and published by John Wiley & Sons. This book was released on 2017-01-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews and reinforces concepts and techniques typical of a first statistics course with additional techniques useful to the IH/EHS practitioner. Includes both parametric and non-parametric techniques described and illustrated in a worker health and environmental protection practice context Illustrated through numerous examples presented in the context of IH/EHS field practice and research, using the statistical analysis tools available in Excel® wherever possible Emphasizes the application of statistical tools to IH/EHS-type data in order to answer IH/EHS-relevant questions Includes an instructor’s manual that follows in parallel with the textbook, including PowerPoints to help prepare lectures and answers in the text as for the Exercises section of each chapter.

Financial Modeling with Crystal Ball and Excel

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Publisher : John Wiley & Sons
ISBN 13 : 1118161130
Total Pages : 449 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Financial Modeling with Crystal Ball and Excel by : John Charnes

Download or read book Financial Modeling with Crystal Ball and Excel written by John Charnes and published by John Wiley & Sons. This book was released on 2011-08-04 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Modeling with Crystal Ball(r) and Excel(r) "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines." -Mark Odermann, Senior Financial Analyst, Microsoft "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster." -James Franklin, CEO, Decisioneering, Inc. "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty." -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst." -Brian Watt, Chief Operating Officer, GECC, Inc. "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts." -Paul Dietz, Manager, Quantitative Analysis, Westar Energy "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices." -Bruce Wallace, Nortel

Data Science for Business and Decision Making

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Publisher : Academic Press
ISBN 13 : 0128112174
Total Pages : 1240 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Science for Business and Decision Making by : Luiz Paulo Fávero

Download or read book Data Science for Business and Decision Making written by Luiz Paulo Fávero and published by Academic Press. This book was released on 2019-04-11 with total page 1240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

How to Measure Anything in Cybersecurity Risk

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Publisher : John Wiley & Sons
ISBN 13 : 1119085292
Total Pages : 304 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis How to Measure Anything in Cybersecurity Risk by : Douglas W. Hubbard

Download or read book How to Measure Anything in Cybersecurity Risk written by Douglas W. Hubbard and published by John Wiley & Sons. This book was released on 2016-07-25 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A ground shaking exposé on the failure of popular cyber risk management methods How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current "risk management" practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world's eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field's premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks, and provides alternate techniques that can help improve your current situation. You'll also learn which approaches are too risky to save, and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist, and advises when to change tracks entirely. Discover the shortcomings of cybersecurity's "best practices" Learn which risk management approaches actually create risk Improve your current practices with practical alterations Learn which methods are beyond saving, and worse than doing nothing Insightful and enlightening, this book will inspire a closer examination of your company's own risk management practices in the context of cybersecurity. The end goal is airtight data protection, so finding cracks in the vault is a positive thing—as long as you get there before the bad guys do. How to Measure Anything in Cybersecurity Risk is your guide to more robust protection through better quantitative processes, approaches, and techniques.

Managing Project Risks for Competitive Advantage in Changing Business Environments

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Publisher : IGI Global
ISBN 13 : 1522503366
Total Pages : 348 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Managing Project Risks for Competitive Advantage in Changing Business Environments by : Bodea, Constanta-Nicoleta

Download or read book Managing Project Risks for Competitive Advantage in Changing Business Environments written by Bodea, Constanta-Nicoleta and published by IGI Global. This book was released on 2016-05-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk management is a vital concern in any organization. In order to succeed in the competitive modern business environment, the decision-making process must be effectively governed and managed. Managing Project Risks for Competitive Advantage in Changing Business Environments presents critical discussions on effective risk management in projects and methods to ensure overall success in project outcomes. Highlighting theoretical foundations, innovative practices, and real-world applications, this book is a pivotal reference source for managers, practitioners, upper-level students, and other professionals interested in how to properly adopt project risk management systems and tools.

Monte Carlo Methods in Finance

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Publisher : John Wiley & Sons
ISBN 13 : 047149741X
Total Pages : 245 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Monte Carlo Methods in Finance by : Peter Jäckel

Download or read book Monte Carlo Methods in Finance written by Peter Jäckel and published by John Wiley & Sons. This book was released on 2002-04-03 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: An invaluable resource for quantitative analysts who need to run models that assist in option pricing and risk management. This concise, practical hands on guide to Monte Carlo simulation introduces standard and advanced methods to the increasing complexity of derivatives portfolios. Ranging from pricing more complex derivatives, such as American and Asian options, to measuring Value at Risk, or modelling complex market dynamics, simulation is the only method general enough to capture the complexity and Monte Carlo simulation is the best pricing and risk management method available. The book is packed with numerous examples using real world data and is supplied with a CD to aid in the use of the examples.

Deena Katz's Complete Guide to Practice Management

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Publisher : John Wiley & Sons
ISBN 13 : 1576603083
Total Pages : 374 pages
Book Rating : 4.5/5 (766 download)

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Book Synopsis Deena Katz's Complete Guide to Practice Management by : Deena B. Katz

Download or read book Deena Katz's Complete Guide to Practice Management written by Deena B. Katz and published by John Wiley & Sons. This book was released on 2009-01-06 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deena B. Katz, CFP, a preeminent authority on practice management and an internationally recognized financial adviser, presents a comprehensive guide to running a professional financial planning practice. To create this book, Katz updated, revised, and combined her two acclaimed books Deena Katz on Practice Management (1999) and Deena Katz's Tools and Templates for Your Practice (2001). In this newly expanded volume, she presents the essentials on how to help a practice thrive side by side with the tools and templates needed for the everyday operation of your firm. This new volume offers guidance on practice-management issues: setting up an office systems and technology administration and staffing marketing growing as the market changes hanging on to clients for the long term succession planning when the time comes This comprehensive resource provides sample forms, worksheets, templates, letters, brochures, and collateral materials developed and refined by top wealth managers and planners. From keeping the business running well by designing dynamic collateral material, to considering plans for retirement, Deena B. Katz guides advisers through every challenge a financial planning business will face.

Cyber-Risk Informatics

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Publisher : John Wiley & Sons
ISBN 13 : 1119087538
Total Pages : 560 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Cyber-Risk Informatics by : Mehmet Sahinoglu

Download or read book Cyber-Risk Informatics written by Mehmet Sahinoglu and published by John Wiley & Sons. This book was released on 2016-05-02 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity vulnerabilities and threats. This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity threats. The author builds from a common understanding based on previous class-tested works to introduce the reader to the current and newly innovative approaches to address the maliciously-by-human-created (rather than by-chance-occurring) vulnerability and threat, and related cost-effective management to mitigate such risk. This book is purely statistical data-oriented (not deterministic) and employs computationally intensive techniques, such as Monte Carlo and Discrete Event Simulation. The enriched JAVA ready-to-go applications and solutions to exercises provided by the author at the book’s specifically preserved website will enable readers to utilize the course related problems. • Enables the reader to use the book's website's applications to implement and see results, and use them making ‘budgetary’ sense • Utilizes a data analytical approach and provides clear entry points for readers of varying skill sets and backgrounds • Developed out of necessity from real in-class experience while teaching advanced undergraduate and graduate courses by the author Cyber-Risk Informatics is a resource for undergraduate students, graduate students, and practitioners in the field of Risk Assessment and Management regarding Security and Reliability Modeling. Mehmet Sahinoglu, a Professor (1990) Emeritus (2000), is the founder of the Informatics Institute (2009) and its SACS-accredited (2010) and NSA-certified (2013) flagship Cybersystems and Information Security (CSIS) graduate program (the first such full degree in-class program in Southeastern USA) at AUM, Auburn University’s metropolitan campus in Montgomery, Alabama. He is a fellow member of the SDPS Society, a senior member of the IEEE, and an elected member of ISI. Sahinoglu is the recipient of Microsoft's Trustworthy Computing Curriculum (TCC) award and the author of Trustworthy Computing (Wiley, 2007).

Applications of Statistics and Probability in Civil Engineering

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Publisher : CRC Press
ISBN 13 : 0203144791
Total Pages : 938 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Applications of Statistics and Probability in Civil Engineering by : Michael Faber

Download or read book Applications of Statistics and Probability in Civil Engineering written by Michael Faber and published by CRC Press. This book was released on 2011-07-15 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A