A Practical Theory of Reactive Systems: Incremental Modeling of Dynamic Behaviors (Texts in Theoretical Computer Science. An EATCS Series) Review

A Practical Theory of Reactive Systems: Incremental Modeling of Dynamic Behaviors (Texts in Theoretical Computer Science. An EATCS Series)
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I really bought this book because I agree with the author: reactive systems are the best way to capture the complexity of real-time sytems. The content of the book is decent, it has most of the important concepts of reactive systems. Nevertheless, the presentation is not what I wanted: it is not a top down categorization and presenation of concepts but more of a linear presentation adapted towards supporting a course on on the subject. Maybe as course supporting material the book deserves a better rating but I was not looking for course.


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This book presents a "practical theory" of reactive systems, with formal foundations in Temporal Logic of Actions. The theory supports incremental development of operational, object-oriented models in steps that preserve already established properties. Models are given in an action-oriented language, and their modularity relates to aspects in aspect-oriented programming. The emphasis is on theoretical understanding of reactive behaviors, and on using "horizontal" modularity to manage their complexity. Special chapters are devoted to the applicability of the theory to distributed and real-time systems. Incremental specification is illustrated in the book by a number of examples of varying size and complexity.

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Handbook of Materials Modeling (Vol 1&2) Review

Handbook of Materials Modeling (Vol 1and2)
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The book contains extensive chapters on tight binding methods, density functional theory, atomistic modeling of materials using molecular dynamical methods, monte-carlo methods, rate equations and continuum methods, and covers processes from thin film growth to radiation damage in solids, defects in crystals to soft condensed matter. Towards the end the plenary chapters give a nice overview of the problems in the field of simulation. The chapters are lucidly written by the foremost researchers in the fields.
My only gripe is that it ignores the field of device simulations, which would have been a nice addition in an encyclopedic book like this.
A must have for any person trying to learn simulation techniques. Definitely five star material.

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The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From the standpoint of methodology, the development follows a multiscale approach with emphasis on electronic-structure, atomistic, and mesoscale methods, as well as mathematical analysis and rate processes. Basic models are treated across traditional disciplines, not only in the discussion of methods but also in chapters on crystal defects, microstructure, fluids, polymers and soft matter. Written by authors who are actively participating in the current development, this collection of 150 articles has the breadth and depth to be a major contributor toward defining the field of computational materials. In addition, there are 40 commentaries by highly respected researchers, presenting various views that should interest the future generations of the community.Subject Editors:Martin Bazant,MIT; Bruce Boghosian,Tufts University; Richard Catlow, Royal Institution; Long-Qing Chen, Pennsylvania State University; William Curtin, Brown University; Tomas Diaz de la Rubia, Lawrence Livermore National Laboratory; Nicolas Hadjiconstantinou, MIT; Mark F. Horstemeyer, Mississippi State University; Efthimios Kaxiras, Harvard University; L. Mahadevan, Harvard University; Dimitrios Maroudas, University of Massachusetts; Nicola Marzari, MIT; Horia Metiu, University of California Santa Barbara; Gregory C. Rutledge, MIT; David J. Srolovitz, Princeton University; Bernhardt L. Trout, MIT; Dieter Wolf, Argonne National Laboratory.

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Computer Graphics and Geometric Modeling for Engineers Review

Computer Graphics and Geometric Modeling for Engineers
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This is a nice book for basics. I borrowed it from my friend and am reading it as a supplement to an advance level NURBS course that I am currently enrolled in an University. This book is easy to read and understand. But the price is exhorbitant. There are other popular advanced level Computer Graphics books available for almost half this price. I would give 4 star rating had not the price been too high. Recommended for all interested in Computer Graphics and Geometric modeling basics, If you can afford it.

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Modeling Waffen-SS Figures Review

Modeling Waffen-SS Figures
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This is a well written book of modeling figures of the SS and can be applied to all kinds of figures.
Well recommended and a great price.

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SystemC: From the Ground Up, Second Edition Review

SystemC: From the Ground Up, Second Edition
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This is a good book on SystemC, but it is not a good book for beginners. The book is overly complicated and provides levels of detail in its examples that are unnecessary to make the point or teach the subject.
For example, when discussing ports the book says the following:
DEFINITION: A SystemC interface is an abstract class that inherits from sc_interface and provides only pure virtual declarations of methods referenced by SystemC channels and ports. No implements or data are provided in a SystemC interface.
DEFINITION: A SystemC channel is a class that implements one or more SystemC interface classes and inherits from either sc_channel or sc_prim_channel. A channel implements all the methods of the inherited interface classes.
DEFINITION: A SystemC port is a class templated with and inheriting from a SystemC interface. Ports allow access of channels across module boundaries.
Huh?
This line of teaching led me into the bowels of SystemC and was unnecessary as a start. One can just say, "A port allows communication between blocks. Let's look at sc_in and sc_out to start".
I needed to get another book to recover from this instruction.
The examples in the book are generally OK and there is a website that has executable versions. Unfortunately, there needed to be more careful editing in the examples. The HelloWorld example has an obvious syntax error (an undeclared module is instantiated) and would never have run if it had been compiled.
I could not find the video mixer example that they used to teach ports on the web, and thus couldn't make progress.
Overall, this is a good book if you know SystemC and are interested in the details of how it is implemented. I would use it to learn the language, and it cannot act as a language reference guide.

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SystemC provides a robust set of extensions to the C++ language that enables rapid development of complex models of hardware and software systems. The authors focus on practical use of the language for modeling real systems, showing:A step-by-step build-up of syntaxCode examples for each conceptOver 8000 lines of downloadable code examplesUpdates to reflect the SystemC standard, IEEE 1666Why features are as they areMany resource referencesHow SystemC fits into an ESL methodologyThis new edition of an industry best seller is updated to reflect the standardization of SystemC as IEEE 1666 and other improvements that reflect feedback from readers of the first edition. The wide ranging feedback also include suggestions from editors of the Japanese and Korean language translations, professors and students, and computer engineers from a broad industrial and geographical spectrum, all who have successfully used the first edition. New chapters have been added on the SystemC Verification Library and the Transaction Level Modeling, and proposed changes to the current SystemC standard. David Black and Jack Donovan, well known consultants in the EDA industry, have teamed with Bill Bunton and Anna Keist, experienced SystemC modeling engineers, to write the second edition of this highly popular classic. As a team the authors bring over 100 years of ASIC and system design experience together to make a very readable introduction to SystemC.

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Forecasting Product Liability Claims: Epidemiology and Modeling in the Manville Asbestos Case (Statistics for Biology and Health) Review

Forecasting Product Liability Claims: Epidemiology and Modeling in the Manville Asbestos Case (Statistics for Biology and Health)
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Reading "Forecasting Product Liability Claims" with the eyes of an attorney involved in the management of mass tort litigation settlements is a daunting task because the text contains very detailed statistical formulae and concepts. However, it is the clarity with which the concepts are explained that allows the non-statistician who has interest to follow the logic. Understanding how the statistics professional accumulates and finds understanding in the seemingly unassociated data should give great insight to the legal professional, whether lawyer or judge, who needs to bring individual justice to thousands of claimants. The introduction by Judge Weinstein is the icing on a rich slowly digested cake for the legal professional.
Lawrence Curtis, General Counsel, Mass Tort Settlements Services

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This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

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An Introduction to the Mechanics of Fluids (Modeling and Simulation in Science, Engineering and Technology) Review

An Introduction to the Mechanics of Fluids (Modeling and Simulation in Science, Engineering and Technology)
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This book is unique. It is the most comprehensive treatment of the basic theory of Newtonian and non-Newtonian fluids that I know of.
It contains a lot of interesting material that is not treated in elementary texts and is dispersed in the research literature, and the authors present it in a rigorous but engaging manner. What I value most of the book are the insightful comments and discussions throughout; it gives one a proper perspective and a deepened understanding of the subject. The book is not suitable for a first course in fluid mechanics, but it should be an excellent text for beginning graduate students -- both engineering students who want to learn the mathematics and mathematics students who want to understand the physics.

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Database Systems: Design, Implementation, and Management Review

Database Systems: Design, Implementation, and Management
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I'm a technical person but have very little DB experience and purchased the book because I had to for a college class. I feel the book was simply OK. Some points were made well others I had to read several times. Over all the explanations were not as concise as I would like but in all fairness DB concepts are hard to explain. The overall layout was good however I think there should have been more attention during the intro to familiarize the reader with DB's and the related concepts before delving in to the details of each phase of DB creation.
My only real gripe is that a new revision is published every year and the previous version of the $100 + dollar book becomes worthless. To save money I bought the previous version and found all the material I needed. However for the final exam the instructor of the online class gave us page numbers to use as reference so I was forced to buy the latest version which was the same book with a few new references...
If you are buying this book for reference or if you are buying this because you are taking a face to face class I recommend that you buy the previous version required by the instructor at a greatly reduced cost. You may be able to do this w/ an online class if the professor (or classmates) are flexible and willing to help reconcile the different page numbers.


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Database Systems: Design, Implementation, and Management, Eighth Edition, a market-leader for database texts, gives readers a solid foundation in practical database design and implementation. The book provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. Updates for the eighth edition include additional Unified Modeling Language coverage, expanded coverage of SQL Server functions, all-new business intelligence coverage, and added coverage of data security. With a strong hands-on component that includes real-world examples and exercises, this book will help students develop database design skills that have valuable and meaningful application in the real world.

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Empirical Modeling in Economics: Specification and Evaluation Review

Empirical Modeling in Economics: Specification and Evaluation
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This is probably the first and the last econometrics book I will have read just for fun! Although the title of the book sounds daunting, I found it very easy to read. If you are interested in intutions behind building econometric models, you should consider reading this book. A word of caution: if you want to find something that treats this subject rigorously, this may not be the book you want to buy. Just to have fun with econometrics is the general idea here.

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In these three essays, Professor Granger explains the process of constructing and evaluating an empirical model. Drawing on a wide range of cases and vignettes from economics, finance, politics and environment economics, as well as from art, literature, and the entertainment industry, Professor Granger combines rigor with intuition to provide a unique and entertaining insight into one of the most important subjects in modern economics. Chapter 1 deals with Specification. Chapter 2 considers Evaluation, and argues that insufficent evaluation is undertaken by economists, and that models should be evaluated in terms of the quality of their output. In Chapter 3, the question of how to evaluate forecasts is considered at several levels of increasing depth.

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New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria, and Externalities as Field Effects Review

New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria, and Externalities as Field Effects
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Can statistical physics methods be used to help understand and predict the behaviors of groups of people over time? Aoki, a well-known expert in optimal control theory and dynamic models applied to economic models, suggests that they can. This book offers an inspiring medley of technical ideas and probabilistic models -- based on analogies to spin glasses, self-organizing physical systems, and key ideas of statistical mechanics -- to make plausible the idea that behaviors of aggregates of rational actors, too, can be predicted statistically. (Enthusiasts of Isaac Asimov's Foundation series, take note!)
The book is worth studying carefully for its ideas and models, even though its main thesis may not ultimately be convincing. It presents and illustrates modeling techniques that will be useful to marketing scientists and quantitative social scientists as well as to economists. A central idea is that individual behaviors can be represented by transitions among discrete choices or microstates, while the rates at which these transitions take place may depend on the frequency distribution of the whole population (and/or of local subpopulations)among microstates. The result is an adaptive process in which individual choices define the aggregate macrostate (i.e., the frequency distribution of individuals of various distinguished types among microstates), which in turn affects subsequent choices. Whether this adaptive process will reach any equilibrium, and, if so, which one and how and when, are principal concerns addressed through various well-analyzed models.
The techniques introduced and illustrated are primarily, partition function and stochastic process methods, including jump processes, diffusion processes, and martingale methods. Other ideas, from critical process theory, stochastic epidemics, large deviations, and maximum entropy econometrics and physics, are introduced and exploited where appropriate. The practical value of such methods to modelers cannot be denied. Aoki's main theme, that such techniques can be used to predict behaviors of populations of individuals, is not buttressed by any real applications. The models presented may be too simple to capture what many social scientists would consider essential real-world complexities, such as the generation of new player types and roles and the effects of boundaries and spatial distributions of resources and environments on populations over time. Nonetheless, the collection of ideas and methods presented, and the overall vision of a social science in which inter-individual heterogeneities and choices are accounted for by discrete transitions, makes this monograph exciting and valuable.
Note: Readers who enjoy this book may also want to read T.C. Schelling's Micromotives and Macrobehavior. Schelling's book is much less technical, but follows some of the same big ideas and applies them to many homely, compelling examples.

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Bayesian Methods for Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) Review

Bayesian Methods for Data Analysis, Third Edition (Chapman and Hall/CRC Texts in Statistical Science)
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I like this book a lot. It's not the book that I would've written, and that's a good thing. Buying Carlin and Louis along with our book will give you two perspectives on applied Bayesian statistics as it is practiced in the 21st century. Compared to our book, Carlin and Louis offer the following:
- Discussion of the debates over Bayesianism within the statistical community, culminating in chapter 5, which covers the links between Bayes, empirical Bayes, and frequentist methods of evaluating statistical procedures.
- A crisp presentation of Bayesian computation (chapter 5), which offers a different perspective than ours.
- A chapter on experimental design including several biomedical examples. This chapter should be useful to a lot of people, I think.
- Near the end of the book, discussion of several classes of models--longitudinal analysis, survival analysis, spatial models, clinical trials, and others--where I often think, "What's would a Bayesian do here?"
I don't think Carlin and Louis have made our own Bayesian Data Analysis obsolete but I do think their book is a great complement to ours, with a slightly different perspective, strong coverage of the theoretical issues of point and interval estimation, and a bunch of compelling biomedical examples.

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Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. New to the Third Edition New data examples, corresponding R and WinBUGS code, and homework problems Explicit descriptions and illustrations of hierarchical modeling-now commonplace in Bayesian data analysisA new chapter on Bayesian design that emphasizes Bayesian clinical trialsA completely revised and expanded section on ranking and histogram estimationA new case study on infectious disease modeling and the 1918 flu epidemicA solutions manual for qualifying instructors that contains solutions, computer code, and associated output for every homework problem-available both electronically and in printIdeal for Anyone Performing Statistical Analyses Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

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Dam Breach Modeling Technology (Water Science and Technology Library) Review

Dam Breach Modeling Technology (Water Science and Technology Library)
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El libro ofrece al interesado en el tema de rompimiento de presas, un completo compendio de las ecuaciones y de las distintas aproximaciones matemáticas o modelos numéricos con los cuales es posible realizar predicciones para evaluar resultados de la hidrógrafa a la salida de la presa o características de la brecha.

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The book provides a comprehensive treatment of earth-dambreaching and its modeling. The material contained in the book can bereadily used for planning and designing dam-disaster relief work.The data and the technical matter contained in the book are notavailable under one cover anywhere else. The book is timely in that it is being completed in the United NationsDecade for Disaster Prevention and Mitigation. Audience: Practitioners, managers, academians, researchers, aswell as graduate students in hydrology, water resources management,natural hazards research and environmental management.

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Modeling and Control of Antennas and Telescopes (Mechanical Engineering Series) Review

Modeling and Control of Antennas and Telescopes (Mechanical Engineering Series)
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This book fills an interesting niche in the field. Large antennas and large telescope structures are very similar, and the fundamental approaches used to understand their performance are the same. The author does a commendable job of presenting the necessary information in a clear and understandable way; let down slightly by a few typos and some slightly weak error checking and editing (this book is not cheap - this sort of thing should be picked up in the proofing) - but despite this it is well worth the money.
I work for a large telescope project and this book is worth purchasing simply to get the perspective of an experienced practitioner in the field, and to see common questions ('Is a velocity loop really necessary?') comprehensively yet compactly addressed. Overall, an interesting and worthwhile book - would that more engineers in the field could - and would - produce something similar. The discipline would be the richer for it.

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The book shows, step by step, the design, implementation, and testing of the antenna/telescope control system, from the design stage (analytical model) to fine tuning of the RF beam pointing (monopulse and conscan). The purpose of this book is to present the implementation of the new theoretical developments in structural dynamics and control theory in the antenna and telescope industry. Also to present the significant improvement in pointing accuracy of the antenna and telescope when the presented techniques are implemented.This book fills the need in the antenna/telescope control techniques. For long time, since 1990 when the last book was published, there was no publication on the antenna/telescope/radar modeling and control.

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Differential Equations: A Modeling Approach Review

Differential Equations: A Modeling Approach
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The aproach to modeling and the clear, sistematic but rich and rigourous presentation by Weir and Giordano is magnific. You work through all Differential equations, but all the time learning on how to use them as modeling tools of reallity. It has also a solutions manual.

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This text takes a strong mathematical modeling approach. By integrating modeling throughout the text, the authors provide a better intuitive understanding of the concepts presented. They also take what students learned in calculus and apply it to real-world problems. The text is loaded with relevant applications, many of which are engineering-oriented. The text includes coverage of phase-plane analysis and control systems.

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Solar Electric Power Generation - Photovoltaic Energy Systems: Modeling of Optical and Thermal Performance, Electrical Yield, Energy Balance, Effect on Reduction of Greenhouse Gas Emissions Review

Solar Electric Power Generation - Photovoltaic Energy Systems: Modeling of Optical and Thermal Performance, Electrical Yield, Energy Balance, Effect on Reduction of Greenhouse Gas Emissions
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This book explores the real potential of solar electric power generation in order to reduce CO2 emissions and prevent the planet from global warming. For this purpose the author analyses the entire energy balance of photovoltaic power plants during their life time from the production to the recycling - taking into account the whole system. He considers all optical interfaces and layers passed by the sunlight from the sun into the solar cell, thermal layout of any photovoltaic module and its heat transfer mechanisms, its related actual electrical properties, allowing an accurate calculation of yield and an optimization of system components, thus reducing costs for solar electricity. Different locations for production and installation of photovoltaic systems are also considered. The concluding message is: If applied in an intelligent way, global energy supply via photo-electric power generation is widely possible.

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This book thoroughly examines the technical parameters of photovoltaic systems, and appraises their net energy balance from production, operation and maintenance, to recycling. Similar performance and yield analysis is applied to optical, thermal, and electrical parameters and interfaces. Professor Krauter demonstrates how accurate yield calculations, optimal system performance, and new prototypes aid in cost reduction. Examples, tables and figures are included.

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Applied Probability and Stochastic Processes Review

Applied Probability and Stochastic Processes
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I randomly ran across this book in my math library trying to find an extra book to help with the difficult Stochastics Process class I was taking. Little did I know I would find a book I value as much as Douglas Kelly's Introduction to Probability. This book has applied problems and examples! It is not the dry, endless pages of confusing equations we have come to expect from Stochastics Processes books. There is something better out there! This book saved me as an undergraduate, and am now looking forward to it living up to my God like expecations as a post grad. If you are a professor, please use this book for you students. It ties together and lets you appreciate many fields such as linear analysis and even graph theory from computer science. This book will not disappoint.

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Spreadsheet Modeling for Business Decisions with Student CD-ROM + CBSVS Passcode Card Review

Spreadsheet Modeling for Business Decisions with Student CD-ROM + CBSVS Passcode Card
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Dr. Kros was my instructor at East Carolina University--he was also the author of this book. This book presents the information in good fashion, and in a method that, to me, is easily understandable. The information provided is "real world" and is useful to any person looking for ways to use Excel to help streamline their business decisions and to make the best decision based on the numbers you have. It, for me, is a definite "must have!"


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Spreadsheet Modeling for Business Decisions focuses on fundamental topics of business decision modeling including spreadsheet modeling, data management and modeling, simulation and linear regression modeling, and decision making under uncertainty. The book emphasizes the importance of effectively communicating results to the appropriate business decision maker.Spreadsheet Modeling for Business Decisions strives to educate future managers in the process of becoming more effective and efficient problem solvers by introducing them to the most important and useful topics associated with widely-used business decision models and preparing them to apply those topics to real-world problems. Students are instructed in how to integrate the use of common software packages into their analysis and solutions, and to prepare written and verbal conclusions from that analysis.

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