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Management Science The Art Of Modeling With Spreadsheets 2nd Ed W Cd
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Download or read book Management Science written by Powell and published by Wiley. This book was released on 2013-10-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its fourth edition, Powell and Baker’s Management Science: The Art of Modeling with Spreadsheets, 4th Edition provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. In this book, the authors cover spreadsheet engineering, management science, and the modeling craft. Management Science, 4th Edition provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. The authors cover spreadsheet engineering, management science, and the modeling craft. The text is designed to improve modeling efficiency and modeling effectiveness by focusing on the most important tasks and tools.
Book Synopsis Business Analytics by : Stephen G. Powell
Download or read book Business Analytics written by Stephen G. Powell and published by Wiley Global Education. This book was released on 2016-11-16 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its fifth edition, Powell and Baker’s Business Analytics: The Art of Modeling with Spreadsheets provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. In this book, the authors cover spreadsheet engineering, management science, and the modeling craft. The briefness & accessibility of this title offers opportunities to integrate other materials –such as cases -into the course. It can be used in any number of courses or departments where modeling is a key skill.
Book Synopsis Optimization Modeling with Spreadsheets by : Kenneth R. Baker
Download or read book Optimization Modeling with Spreadsheets written by Kenneth R. Baker and published by John Wiley & Sons. This book was released on 2012-01-10 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office® Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.
Book Synopsis Introduction to Management Science by : Frederick Stanton Hillier
Download or read book Introduction to Management Science written by Frederick Stanton Hillier and published by . This book was released on 2004-01 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Management Science, 2e offers a unique case study approach and integrates the use of Excel. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. This most recent revision has been thoroughly updated to be more "user-friendly" and more technologically advanced. These changes include, a completely new chapter on the art of modeling with spreadsheets. This unique chapter goes far beyond anything found in other textbooks and are based on the award winning methodologies used by Mark Hillier in his own course. The technology package has also been greatly enhanced to include, Crystal Ball 2000 (Professional Edition) a Management Science Online Learning Center, and an Excel add-in called Alver Table for performing sensitivity analysis. Crystal Ball is the most popular Excel add-in for computer simulation and includes OptQuest (an optimizer with simulation) as well as a forecasting module. The Management Science Online Learning Center (website) includes several modules that enable students to interactively explore certain management science techniques in depth. Solver Table is an Excel add-in developed by the author to help perform sensitivity analysis systematically, as well as substantially expanded coverage of computer simulation, including Crystal Ball. We now have two chapters on computer simulation instead of one, where the second chapter features the use of Crystal Ball.all.
Book Synopsis Excel Models for Business and Operations Management by : John F. Barlow
Download or read book Excel Models for Business and Operations Management written by John F. Barlow and published by John Wiley & Sons. This book was released on 2005 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · Business Studies, Accounting, Finance, and Operations Management courses that offer practical computing skills as an integral part of the course syllabus· Managers and Analysts who want to develop their model-building skills Special Features: · The use of spreadsheet models in finance, business and management decision-making is on the increase· Other books on spreadsheet modeling tend to focus on applied management science and complex financial models, which restricts the market· This new edition will follow the active learning approach which focuses on the practical aspect of how to build computer models while summarizing the mathematical logic as to why the model is so constructed· A website will accompany the text, containing hands on development models to enable the reader to put theory into practice.· A new chapter entitled Investment Analysis Models will be added to widen the appeal to students in finance and accounting.· All references to Excel (including the Excel refresher notes in the appendix) have been upgraded to reflect the latest version of Microsoft Office (e. g. Excel 2003 and Windows XP)· Job sequencing including a VBA routine for Johnson s Rule· Multiplicative Holt-Winter s model About The Book: This text adopts an active learning approach with the emphasis being placed on the utilization of software tools to help build models. The learn by example approach used throughout the book guides the user through the complexities of model building. Every day examples from business and operations management form the basis of the book s hands on development models that help the reader to appreciate Excel s power and flexibility.
Book Synopsis Modeling Structured Finance Cash Flows with Microsoft Excel by : Keith A. Allman
Download or read book Modeling Structured Finance Cash Flows with Microsoft Excel written by Keith A. Allman and published by John Wiley & Sons. This book was released on 2010-12-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called "Model Builder," in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file.
Book Synopsis Decision Modeling with Microsoft Excel by : Jeffrey H. Moore
Download or read book Decision Modeling with Microsoft Excel written by Jeffrey H. Moore and published by Pearson Educacion. This book was released on 2001 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Premium Solver for Education -- Solver Table add-in software -- Extend LT 4.0 (simulation software) -- TreePlan -- GLP, a graphic visualization program -- Excel templates for in-text examples.
Book Synopsis R for Data Science by : Hadley Wickham
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Book Synopsis Corporate Valuation Modeling by : Keith A. Allman
Download or read book Corporate Valuation Modeling written by Keith A. Allman and published by John Wiley & Sons. This book was released on 2010-01-21 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: A critical guide to corporate valuation modeling Valuation is at the heart of everything that Wall Street does. Every day, millions of transactions to purchase or sell companies take place based on prices created by the activities of all market participants. In this book, author Keith Allman provides you with a core model to value companies. Corporate Valuation Modeling takes you step-by-step through the process of creating a powerful corporate valuation model. Each chapter skillfully discusses the theory of the concept, followed by Model Builder instructions that inform you of every step necessary to create the template model. Many chapters also include a validation section that shows techniques and implementations that you can employ to make sure the model is working properly. Walks you through the full process of constructing a fully dynamic corporate valuation model A Tool Box section at the end of each chapter assists readers who may be less skilled in Excel techniques and functions Complete with a companion CD-ROM that contains constructed models, this book is an essential guide to understanding the intricacies of corporate valuation modeling. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Book Synopsis Introduction to Management Science with Spreadsheets by : William J. Stevenson
Download or read book Introduction to Management Science with Spreadsheets written by William J. Stevenson and published by Irwin/McGraw-Hill. This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text combines the market leading writing and presentation skills of Bill Stevenson with integrated, thorough, Excel modeling from Ceyhun Ozgur. Professor Ozgur teaches Management Science, Operations, and Statistics using Excel, at the undergrad and MBA levels at Valparaiso University --and Ozgur developed and tested all examples, problems and cases with his students. The authors have written this text for students who have no significant mathematics training and only the most elementary experience with Excel.
Book Synopsis Financial Modeling by : Simon Benninga
Download or read book Financial Modeling written by Simon Benninga and published by MIT Press. This book was released on 2000 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
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.
Book Synopsis Probability Models for Economic Decisions, second edition by : Roger B. Myerson
Download or read book Probability Models for Economic Decisions, second edition written by Roger B. Myerson and published by MIT Press. This book was released on 2019-12-17 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty. This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk. New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel.
Book Synopsis Simulation Modeling and Analysis with Expertfit Software by : Averill Law
Download or read book Simulation Modeling and Analysis with Expertfit Software written by Averill Law and published by McGraw-Hill Science/Engineering/Math. This book was released on 2006-07-21 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
Book Synopsis Practical Management Science by : Wayne L. Winston
Download or read book Practical Management Science written by Wayne L. Winston and published by South Western Educational Publishing. This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text takes an active-learning approach, providing numerous examples and problems so students can practice extensively with a concept before moving on. Four types of problems -- skill-building, skill-extending, modeling, and cases are graded within sections and chapters to help instructors assign homework. Another important feature is the way that the text integrates modeling into all functional areas of business: finance, marketing, operations management using real examples and real data. The text emphasizes modeling over algebraic formulations and memorization of particular models. Shell files are also provided so that instructors can give students as much or as little information as they need.
Book Synopsis Successful Service Operations Management by : Richard Metters
Download or read book Successful Service Operations Management written by Richard Metters and published by . This book was released on 2006 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the full cycle of building a service business from concept formation through implementation. The first section of the book- three chapters - focuses on constructing a business strategy. The next section details how to implement that strategy in the design of theservice system. Capacity management is an important strategic and tactical issue in many services, and is the subject of the four chaptersin the third section of the book. Finally, the last four chapters provide managers with tools needed for everyday operation.
