Monte Carlo Simulations Using Microsoft Excel
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Monte Carlo Simulations Using Microsoft Excel
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Author : Shinil Cho
language : en
Publisher: Springer Nature
Release Date : 2023-06-15
Monte Carlo Simulations Using Microsoft Excel written by Shinil Cho and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-15 with Science categories.
This book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects.
Introductory Econometrics
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Author : Humberto Barreto
language : en
Publisher: Cambridge University Press
Release Date : 2006
Introductory Econometrics written by Humberto Barreto and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
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.
Practical Monte Carlo Simulation With Excel Part 2 Of 2
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Author : Akram Najjar
language : en
Publisher: Gatekeeper Press
Release Date : 2018-04-18
Practical Monte Carlo Simulation With Excel Part 2 Of 2 written by Akram Najjar and has been published by Gatekeeper Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-18 with Business & Economics categories.
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 Using Monte Carlo Simulation With Microsoft Excel
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Author : Humberto Barreto
language : en
Publisher:
Release Date : 2009-11-01
Introductory Econometrics Using Monte Carlo Simulation With Microsoft Excel written by Humberto Barreto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-01 with categories.
This highly accessible and innovative text and accompanying CD-ROM use Excel (R) workbooks powered by Visual Basic macros to teach the core concepts of econometrics without advanced mathematics. It enables students to run 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 Excel add-ins allow students to draw histograms, to compute P-values and robust standard errors, and to construct their own MonteCarlo and bootstrap simulations. For more readers may visit the web site at www.wabash.edu/econometrics.
Practical Monte Carlo Simulation With Excel Part 1 Of 2
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Author : Akram Najjar
language : en
Publisher: Gatekeeper Press
Release Date : 2018-04-18
Practical Monte Carlo Simulation With Excel Part 1 Of 2 written by Akram Najjar and has been published by Gatekeeper Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-18 with Business & Economics categories.
100 Excel Simulations
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Author : Gerard M. Verschuuren
language : en
Publisher: Tickling Keys, Inc.
Release Date : 2016-11-01
100 Excel Simulations written by Gerard M. Verschuuren and has been published by Tickling Keys, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-01 with Computers categories.
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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Author : Sujaul Chowdhury
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Monte Carlo Methods written by Sujaul Chowdhury and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.
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.
Excel Simulations
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Author : Gerard Verschuuren
language : en
Publisher: Tickling Keys, Inc.
Release Date : 2013-11-01
Excel Simulations written by Gerard Verschuuren and has been published by Tickling Keys, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-01 with Computers categories.
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.
100 Excel Vba Simulations
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Author : Gerard M. Verschuuren
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-18
100 Excel Vba Simulations written by Gerard M. Verschuuren and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-18 with categories.
Covering a variety of Excel simulations by using Visual Basic (VBA), 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.
Insight Xla
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Author : Sam L. Savage
language : en
Publisher: Brooks/Cole
Release Date : 1998
Insight Xla written by Sam L. Savage and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.
A suite of Microsoft Excel add-ins plus the practical tutorials that explain their use in real business decision-making applications. Appropriate for use in management science, quantitative analysis, operations research and operations management courses, these software add-ins--when combined with their accompanying tutorial documentation--offer students practical tools they can master and take with them into the business environment. Savage, who teaches at Stanford University, is a leading innovator in management science education. The tutorials have been developed based on teaching seminars throughout the world. The suite of add-ins allow users to do Monte Carlo Simulations, decision trees, queuing simulations, Markov chanis, optimization and forecasting with Microsoft Excel. The add-ins also contain numerical and graphing capabilities and a student version of WHAT'S BEST.