Textbooks Bundled with Palisade Software
Palisade software is a key component of top college textbooks published today. Used at top business schools worldwide, over 40,000 students per year are learning Palisade software.
The following books include specific examples built around Palisade software. All include special student textbook versions of @RISK, DecisionTools Suite, StatTools, Evolver, and/or @RISK for Project software.
For questions about Palisade student software, please contact Palisade Academic Sales:
Practical Spreadsheet Modeling Using @Risk
By Dale Lehman, Huybert Groenendaal
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. Read more about the book here.
Applied Simulation Modeling
By Andrew Seila, Vlatko Ceric, and Pandu Tadikamalla
This book provides the student with both a conceptual introduction to the concepts of simulation modeling and practical experience with real examples using popular commercial simulation packages @RISK and Arena. The coverage includes Risk Simulation, Dynamic Systems, and Discrete Event Simulation models. Throughout the text, the authors show readers how they can use simulation in the context of decision making. Practical examples from operations management, manufacturing, health care, and finance are included throughout to give students an appreciation for the wide scope of application and the robust nature of simulation modeling.
Computer-Based Construction Project Management
By Tarek Hegazy
For senior-level courses in Construction Project Management, and undergraduate/graduate-level courses in Computer-Aided Construction Management, this text views basic project management concepts from an information technology perspective. It contains comprehensive coverage of quantitative construction management techniques for planning, scheduling, estimating, cost optimization, cash flow analysis, bidding, and project control. Examples include Evolver, which is bundled with the book. All concepts are presented both manually and on computer applications, with a single case study to clearly demonstrate the evolution of concepts in the successive chapters.
Business Analytics: Data Analysis and Decision Making, 5th Edition
By Chris Albright and Wayne Winston
Become a master of data analysis, modeling, and spreadsheet use! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos.
Essentials of Statistics for Business and Economics, 6th Edition
By Thomas A. Williams
Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. The book includes all of the strengths of the best-selling parent text, with a streamlined focus on the core topics and a concise presentation that is easy for students to follow. This reader-friendly introduction to business statistics offers a wealth of real-world examples, proven methods, and application exercises that clearly demonstrate how statistics can inform decisions and suggest solutions to contemporary business problems. The authors' signature problem-scenario approach and numerous exercises in every chapter show students how to apply statistical methods in practical business situations. In addition, the Sixth Edition includes new case problems, methods, applications, and self-test exercises to help students' master key formulas and apply their knowledge. This title is available with DecisionTools Suite and StatTools software for Excel.
Entrepreneurial Finance: Venture Capital, Deal Structure & Valuation, 2nd Edition
By Janet Kiholm Smith, Richard L. Smith
Entrepreneurial Finance: Venture Capital, Deal Structure & Valuation, Second Edition illustrates how the theory and methods of finance and economics can be used to guide strategic decision-making. This text prepares readers for a variety of situations that confront stakeholders in the rapidly evolving fields of entrepreneurial finance and venture capital, outlining ways to think from the investor's and entrepreneur's perspectives. Readers will find a unique and direct focus on value creation as the objective of each strategic and financial choice. The authors specifically address the influences of risk and uncertainty on new venture success and investment performance, devoting substantial attention to methods of financial modeling and contract design. Finally, they provide a comprehensive survey of approaches to new venture valuation, with an emphasis on applications.
The second edition is thoroughly revised to reflect new data, research, and changes in practice in this fast-moving field. It has an increased focus on venture capital, while maintaining its hallmark coverage of the financial aspects of entrepreneurship. Updates throughout address technological changes that have the potential to dramatically change the landscape for finance, such as recent innovations in contracting for early-stage ventures, artificial intelligence and machine learning, and Internet connectivity. Lastly, the book offers a companion website with a useful suite of resources for students and instructors alike, including spreadsheets, templates, simulation applications, and interactive cases and tutorials.
The book appeals to a wide range of teaching and learning preferences. To help bring the book to life, simulation exercises appear throughout the text that can be used with @RISK. The text also uses PrecisionTree to build decision trees for options evaluation.
Introduction to Probability Models: Operations Research, Volume II
By Wayne Winston
This text, the second volume of Wayne Winston's successful Operations Research: Applications and Algorithms (see below), covers probability models with recent contributions from financial engineering, computational simulation and manufacturing. The specific attention to probability models with the addition of recent practical breakthroughs makes this the first text to introduce these ideas together at an accessible level. Excellent problem sets abound utilizing the DecisionTools Suite. The text provides a balanced approach by developing the underlying theory while illustrating them with interesting examples. All of the necessary mathematical requirements are reviewed in Chapter 1.
Essentials of Modern Business Statistics with Microsoft Excel, 5th Edition
By David R. Anderson; Thomas A. Williams; Dennis J. Sweeney
From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, this book provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel 2010, is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The fourth edition contains the same student learning features that have made ASW products best-sellers for years, including the problem-scenario approach and real-world examples that introduce statistical techniques. The latest DecisionTools Suite software is utilized and included with the text as well.
Making Hard Decisions with DecisionTools Suite
By Robert Clemen and Terrence Reilly
This is a special version of Robert Clemen's best-selling text, Making Hard Decisions. This straight-forward book teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in management science. It fully incorporates and implements the DecisionTools Suite, including @RISK, PrecisionTree, and RISKOptimizer. At the end of each chapter, topics are illustrated with step-by-step instructions for DecisionTools software, thus making the text more useful and relevant to students to business and engineering.
Introduction to Financial Models for Management and Planning
by James R. Morris and John P. Daley
This text provides graduate level instruction on the development of models for financial management and planning. By working through the problems and models in this text, readers will learn how computer based models should be structured to analyze a firm’s investment and financing. The authors emphasize modeling problems related to financial management, firm valuation, forecasting, and security pricing. Monte Carlo simulation is emphasized and access to the Monte Carlo simulation software @RISK is included with the text. A solutions manual and PowerPoint® lectures are available for instructors who adopt the text.
Management Science with Spreadsheet Modeling
by Patrick Johanns
This book outlines, in very practical terms, how to make better-informed and more effective business decisions through the use of mathematical modeling using Excel spreadsheets. The author implements DecisionTools Suite software to account for uncertainty and create more realistic, probabilistic models.
Making Hard Decisions: An Introduction to Decision Analysis
by Robert Clemen
This best-selling and up-to-date survey of decision analysis concepts and techniques is accessible to students with limited mathematical backgrounds. It is designed for advanced undergraduate and MBA-level courses in decision analysis and also for business courses in introductory quantitative methods. It uses components of the DecisionTools, including @RISK, PrecisionTree, and RISKOptimizer.
Practical Reliability Engineering, 5th Edition
by Patrick O'Connor, Andre Kleyner
This book provides a comprehensive, up-to-date coverage of fundamental concepts, models, methods and practices of modern reliability engineering. It is intended for a variety of readers ranging from college students to seasoned engineering professionals involved in design, development, manufacture and maintenance of reliable engineering products and systems.
The book’s emphasis is on practical aspects of engineering, with a balanced mixture of reliability theory and applications. The topics covered include the mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling, design for reliability and safety, accelerated testing, management and economics of reliability programmes. Reliability and safety aspects of mechanical, electronic and software engineering are also described. The new edition adds: Software applications of statistical methods, including probability plotting and a wider use of common software tools such as Microsoft Excel.
Expanded description and applications of Monte Carlo simulation methods, in a new chapter using @RISK and DecisionTools Suite.
Modern Business Statistics with Microsoft Excel
By David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams
Give your students a balanced, conceptual understanding of statistics with a focus on real-world applications and the integrated strengths of Microsoft Excel 2010. The authoritative leader in modern business statistics, this best-selling comprehensive text carefully discusses and clearly develops each statistical technique in an application setting.
A wealth of timely business examples, proven methods, and additional exercises throughout this edition demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. High-quality problems noted for their unwavering accuracy and the authors’ signature problem-scenario approach clearly show how to apply statistical methods in practical business situations. Examples are included using PrecisionTree and StatTools.
Principles of Engineering Economic Analysis, 5th Edition
By John A. White, Kenneth E. Case, and David B. Pratt
Principles of Engineering Economic Analysis, 5e provides a unified treatment of economic analysis principles and techniques from a cash flow perspective. This approach has been proven in the classroom and has been very successful in practice. The fifth edition has been updated to include sample FE exam questions as well as shorter examples so that students can clearly understand the concepts. Additionally, the text includes more use of spreadsheet software and more information on personal finance, helping students become even more familiar with the essentials an engineer needs to know when solving problems in the real world.
Primer on Risk Analysis: Decision Making Under Uncertainty
by Charles Yoe
“This book lays out the tasks of risk analysis in a straightforward, conceptual manner that is consistent with the risk models of all communities of practice. It answers the questions “what is risk analysis?” and "how do I do this?” The book’s simple and straightforward style—based on the author’s decades of experience as a risk analyst, trainer, and educator—strips away the mysterious aura that often accompanies risk analysis. It describes the principles in a manner that empowers readers to begin the practice of risk analysis, to better understand and use the models and practice of their individual fields, and to gain access to the rich and sophisticated professional literature on risk analysis. A companion volume, Principles of Risk Analysis: Decision Making Under Uncertainty, supplies the tools, techniques, and methodologies to help readers apply the principles of risk analysis—the “how to.” Both books are accompanied by a free student version of the DecisionTools Suite.
Principles of Risk Analysis: Decision Making Under Uncertainty
by Charles Yoe
This is a companion volume to Primer on Risk Analysis: Decision Making Under Uncertainty by the same author. This volume supplies the tools, techniques, and methodologies to help readers apply the principles of risk analysis—the “how to.” Both books are accompanied by a free student version of the DecisionTools Suite.
Practical Management Science, 5th Edition
by Wayne Winston and Chris Albright
Geared entirely to Excel 2013, PRACTICAL MANAGEMENT SCIENCE, 5e helps students understand and take full advantage of the power of spreadsheet modeling. It integrates modeling into all functional areas of business--finance, marketing, operations management--using real examples and real data. Emphasizing applied, relevant learning, the text presents just the right amount of theory to ensure students understand the foundation of the topic, followed by exercises that give them practical, hands-on experience with the methodologies. It focuses on modeling over algebraic formulations and memorization of particular models. The Fifth Edition includes the latest changes in the accompanying @RISK and PrecisionTree add-ins, incorporates "BigPicture" diagrams of spreadsheet models into the optimization chapters, and provides new and updated cases throughout. The online Chapter 16: Multiobjective Decision Making is now more conceptual, while Chapter 9: Decision Making Under Uncertainty extends a single "new product decisions" example throughout the chapter. In addition almost 30 new tutorial videos explain concepts and work through examples.
Project Management: Tools and Trade-Offs
by Ted Klastorin
This book presents the fundamental concepts of project management in a concise fashion with an emphasis on the difficult tradeoffs that must be made by project managers. The authors describe the basic analytical tools and project management methodologies and show how to apply these tools and methodologies to realistic problems. The book offers a unique balance of theory and practice, with emphasis on the uncertain, risky projects that managers have to manage in the real world. It includes @RISK for Project software and example models.
Operations Research - Applications and Algorithms
by Wayne Winston
The market-leading textbook owes much of its success to its practical orientation and consistent emphasis on model formulation and model building. It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. Winston takes full advantage of @RISK, PrecisionTree, and RISKOptimizer.
Spreadsheet Modeling for Business Decisions, 5th Ed.
by John F. Kros
Updated for use with Microsoft Office Excel 2016 with an emphasis on model formulation and interpretation rather than on computer code or algorithms, Spreadsheet Modeling for Business Decisions focuses on five fundamental topics of business decision making and management science, making it suitable for a survey course in management science, but specific enough to satisfy upper division "elective" courses and graduate level MBA courses in quantitative methods or business decision making.
The new fifth edition includes an enhanced online learning package featuring: supplementary software programs, such as Risk Solver Platform, Treeplan, @Risk, and other add-ins for spreadsheets; integrated case studies, decision tree add-in programs, video lectures, interactive quizzes, and much more.
Project Economics & Decision Analysis: Two Volume Set
by M. A. Mian
This comprehensive set provides all the necessary concepts of capital investment evaluation, capital budgeting, and decision analysis, particularly in oil and gas. Mian takes the reader step-by-step through the decision-making process, providing comprehensive coverage of all decision analysis tools currently available while outlining how investment decisions are made under different stages of risk. Further, he focuses on practical application, using a straightforward approach with solved “real-life” examples and solutions, end-of-chapter problems, and illustrations throughout the book. Volume 1 includes deterministic models, while Volume 2 deals with probabilistic models and the concepts of decision analysis (incorporating risk and uncertainty as applied to capital investments). Volume 2 also contains Excel spreadsheets (detailed cash flows and calculations) of all the examples in the two volumes and DecisionTools Suite software.
Statistics for Business and Economics
By David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams
This market-leading text from well-respected authors Anderson/Sweeney/Williams introduces sound statistical methodology within a strong applications setting. A wealth of real business examples, proven methods, and application exercises clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. Comprehensive coverage, trusted for its accuracy, allows you to select the topics best for your course, including coverage of the latest statistical and business software to manage statistical information. This edition's accessible approach is strengthened with the innovative new CengageNOW integrated online course management and learning system that saves you time while using personalized study plans to ensure student understanding. This title is available with DecisionTools Suite and StatTools software for Excel.
Quantitative Decision Making with Spreadsheet Applications
By Lawrence Lapin and William D. Whisler
Written for students with a background in algebra, this text provides a complete and modern treatment of basic management science methodology. The authors survey the variety and power of management science tools, working to alleviate students' apprehension about the subject and to enable students to recognize on-the-job situations in which management science methodology can be successfully employed. Emphasizing modeling skills for students of varying mathematical backgrounds, the authors explain how to use Microsoft Excel spreadsheets to build skills as they work through problems. In general, problems are broken into several parts to make difficult concepts easy for students to learn. This book's modular structure affords instructors maximum flexibility.
Statistical Thinking: Improving Business Performance
by Roger Hoerl and Ronald D. Snee
This innovative book teaches students to understand the strategic value of data and statistics in solving real business problems. Following principles of effective learning identified by educational and behavioral research, the instruction proceeds from tangible examples to abstract theory; from the big picture, or "whole," to details, or "parts"; and from a conceptual understanding to ability to perform specific tasks. Examples are built around @RISK software.
Simulation Modeling Using @RISK
by Wayne Winston
With its understandable explanations of Monte Carlo and step-by-step instructions for Microsoft Excel and @RISK software, this text/software package offers both the instruction and the practice students need to begin solving complex business problems. It is designed for use as the primary learning tool in a short business simulation course (for advanced undergraduate and MBA students), or as a supplement to courses in investments, corporate finance, management science, marketing strategy, operations management, and actuarial science.
Valuation: The Art and Science of Corporate Investment Decisions 2nd Edition
by Sheridan Titman and John Martin
For upper-division undergraduate and MBA students as well as business professionals.
Seeing the economic realities of the modern corporation through an integrated approach.
Titman/Martin presents an integrated approach to both project and enterprise valuation, showing readers the economic realities that today’s modern corporations face. This text also goes beyond standard DCF analysis by including additional valuation methods that are commonly used in practice, such as comparables, simulations with @RISK, and real options.
The second edition includes an increased emphasis on enterprise valuation, a new chapter on financial forecasting, and enhanced examples and illustrations.
Value-Added Decision Making for Managers
by Kenneth Chelst and Yauvz Burak Canbolat
Developed from the authors’ longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to improve on these alternatives by adding value and reducing risk.
The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously. Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references. PrecisionTree and DecisionTools Suite software is included for making probabilistic decisions.