Modeling Dynamic Economic Systems (Modeling Dynamic Systems) Review

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(More customer reviews)Book is worth reading but leaves you in need of more in depth direction as your problems won't match the samples. You will want deeper guidance so that you can address your needs. Recommend the book just left bit frustrated.

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Systems Science and Modeling for Ecological Economics Review

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(More customer reviews)If you did not do modeling before and have no idea where to start from - this book is for you. It is well written and it is fun!
I had to do some modeling for a project that I have been working on. At that moment I did not have much experience in modeling, especially in modeling coupled economic and natural systems. I was looking for a good guide in ecological economic modeling but could not find anything user-friendly and interdisciplinary. I came across the web-course by Dr. Voinov and started it. The book is a great addition to the course. The web-course as well as this textbook lead you through the essential steps of model design and implementation, introduce you to main challenges and ways to resolve them, and give you some great illustrations from practical applications of ecological economics. I especially like that it provides not only the theory of modeling for ecological economics but also discusses software tools and gives you hands on experience with the exercises. I was very excited to see that the textbook is out there now. Enjoy!


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Modeling is a key component to sciences from mathematics to life science, including environmental and ecological studies. By looking at the underlying concepts of the software, we can make sure that we build mathematically feasible models and that we get the most out of the data and information that we have. This book shows how models can be analyzed using simple math and software to generate meaningful qualitative descriptions of system dynamics. This book shows that even without a full analytical, mathematically rigorous analysis of the equations, there may be ways to derive some qualitative understanding of general behavior of a system. By relating some of the modeling approaches and systems theory to real world examples the book illustrates how these approaches can help understand concepts such as sustainability, peak oil, adaptive management, optimal harvest and other practical applications.* Relates modeling approaches and systems theory to real world examples * Teaches students to build mathematically feasible models and get the most of our the data and information available* Wide range of applications in hydrology, population dynamics, market cycles, sustainability theory, management, and more

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Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture Review

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(More customer reviews)I read this book end-to-end. It is a terrific practitioner's guide for anybody who is engaged with developing a large-scale data integration environment.
I have met with Tony personally as well, and he has a lot of credibility with clients, all of which flows through into this excellent book.
Well done Tony!
Sunil Soares

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Constructing Measures: An Item Response Modeling Approach Review

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(More customer reviews)The book was required for a class I'm taking, it serves it purpose and got here within a reasonable amount of time.

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Modeling in Event-B: System and Software Engineering Review

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(More customer reviews)This is an official text book for Event-b.
The samples are on the web.
I input these sample codes with typing.
There are some differences between the book and the web.
You can discuss about that in the Event-b mailing list.
Some errata are on the Event-B web.
After doing samples, you may be a specialist about Event-b.

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Optimization Modeling with Spreadsheets Review

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(More customer reviews)Great book! It gives you exactly what you need to know to actually put together a working model on your own. It has enough theory so you understand what you're doing, and a lot of practical application material on how to actually do it. It was my third "modeling" book, but the first one to bridge the gap between theory and application. I attribute this primarily on the author's choice of focusing on showing the models in Excel. The other books I've picked up have tried to maintain a neutrality on what you use to build your model, and they focus on the abstract methods, which are important, but leave you lacking the actual details on how to get it done! And let's face it: Chances are you're going to build your model in Excel and use the Frontline solvers anyway. That being said, I now feel confident enough to take my models out of Excel and plant them in other solvers. Once you build a few, the concepts stick.

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Geometric Transformations for 3D Modeling Review

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(More customer reviews)Pedagogically, Mortenson's presentation is easy for a reader to follow. Accompanied by generous numbers of diagrams. He gives understandable interpretations of how matrices are used to represent different types of transformations. The underlying geometrical rationale is clear.
En route, the reader is gently introduced to group theory. For finite groups. A way to bind geometry and symmetry. Interestingly, the notation he uses for the symmetries and groups is Schonflies. In 1982, this was already being phased out by crystallographers, in favour of International notation. But maybe mathematicians prefer the older style.
There is also a quick discussion of tensors. Giving rise to contra and covariant vectors. And the metric tensor is introduced as a key idea. All this is a jumping off point for physicists studying General Relativity, though it is not actually mentioned by name.

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Circuit Simulation with SPICE OPUS: Theory and Practice (Modeling and Simulation in Science, Engineering and Technology) Review

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(More customer reviews)Of all the SPICE books on my shelf (>20) this is probably the most important book on the basics of SPICE. There are plenty of good books on how to use SPICE; most focus on PSPICE, ISSPICE, HSPICE, or other commercial flavors of SPICE. Nothing wrong with after market documentation and commercial SPICE simulations; the commercial versions are certainly worth the price if you are a professional working for a company that has a liberal budget for CAD tools. Enter the SPICE OPUS team (and let's not forget the equally important Spice3 project, ngSpice, which is open source). If you are a user of SPICE OPUS, boasting over 10,000 users worldwide, or ngSpice, this book may very well be what you need if you are a novice of the classic SPICE3/Nutmeg software originating at Berkeley.
The SPICE OPUS team since the 1990s offers a free version of SPICE based on SPICE 3f4. SPICE OPUS is used worldwide in the area of research, education, and industry. This book is more than a well written user's guide of SPICE OPUS, it is the Crème de la Crème of SPICE user's manual. Inside you will find detailed information on the SPICE OPUS simulator. As the back cover of this book mentions, "This book is the first complete guide to analog circuit design using the circuit simulator software package SPICE OPUS". That said, there is a topic I was disappointed not to find in this edition: sensitivity analysis using the SPICE .SENSE control card. There is very little information on this aspect of SPICE yet this is an important topic for serious circuit designers.
Despite a missing topic, I believe this book is perfect for serious SPICE OPUS user (the target audience of the book), ngSpice users, and other SPICE flavors. SPICE users that have access to commercial versions, in my opinion, may find this book supplements their understanding of how SPICE works internally (I.E. your mileage may vary due to vendor customization of a particular version of SPICE). ngSpice user's would probably find this book valuable to gain an understand of SPICE internals when using or reading the source code. Near and dear to my interests, amateur radio, experimenters that want to apply circuit simulation tools to analog designs may find this book an excellent guide.
Individuals new to SPICE3 may wish to start with chapters 2, 3 and 4 where the authors bring you up to speed on how to use SPICE3 and NUTMEG (chapter 2), the SPICE3 input file format (chapter 3) and and overview of the analysis options (Chapter 4). The reader will them most likely move on the the following chapters to gain more expertise on advanced SPICE3 operation such as how to script NUTMEG, the mathematics behind SPICE3 and the details on how to control the output. I found chapter 1 to be an excellent introduction to circuit simulation, but chapter 1 is not necessary to learn how to use SPICE3 (although I recommend reading chapter 1 at some point).
Summarizing, this book is fantastic resource for the SPICE OPUS user and ngSpice user, and SPICE purest. For the commercial SPICE user, this book would probably be useful for additional insight into SPICE internals and may help explain certain issues with your version of SPICE. Note that this book is specific to SPICE3. SPICE2 is still available, but many recent versions of SPICE release focus on SPICE3.

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This book is a unique combination of a basic guide to general analog circuit simulation and a SPICE OPUS software manual, which may be used as a textbook or self-study reference. The book is divided into three parts: mathematical theory of circuit analysis, a crash course on SPICE OPUS, and a complete SPICE OPUS reference guide. All simulations as well as the free simulator software may be directly downloaded from the SPICE OPUS homepage: www.spiceopus.si.Circuit Simulation with SPICE OPUS is intended for a wide audience of undergraduate and graduate students, researchers, and practitioners in electrical and systems engineering, circuit design, and simulation development.

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Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence Review

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(More customer reviews)I think this is a pretty good book. It is the only reference on this relatively new type of patch occupancy modeling. It is mainly focused on the models of MacKenzie et al. and the Royle and Nichols model. This is a great place to start if you know nothing about this method or a good reference for advanced users.
This book does not fill the need of an introductory "how-to" book. If you want to know how to set up models and run them in program PRESENCE or MARK you will need to wait. Such a book does not exist. This is not a cookbook, but a compilation of the theory and an explanantion of the methodology behind occupancy estimation.

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Control Theory for Humans: Quantitative Approaches To Modeling Performance Review

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(More customer reviews)I think this was a great book. I have a MSc in engineering and I wanted to refresh my knowledge in control engineering for human-machine interfaces again. This book covered basically all the necessary subjects. I think a few chapters could have been left out, such as that chapter about Fitt's law.
I also think this book would be great for psychologists who want to learn more about frequency response methods for identification of human trackers, without going too deep into the math.

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This textbook provides a tutorial introduction to behavioral applications of control theory. Control theory describes the information one should be sensitive to and the pattern of influence that one should exert on a dynamic system in order to achieve a goal. As such, it is applicable to various forms of dynamic behavior. The book primarily deals with manual control (e.g., moving the cursor on a computer screen, lifting an object, hitting a ball, driving a car), both as a substantive area of study and as a useful perspective for approaching control theory. It is the experience of the authors that by imagining themselves as part of a manual control system, students are better able to learn numerous concepts in this field. Topics include varieties of control theory, such as classical, optimal, fuzzy, adaptive, and learning control, as well as perception and decision making in dynamic contexts. The authors also discuss implications of control theory for how experiments can be conducted in the behavioral sciences. In each of these areas they have provided brief essays intended to convey key concepts that enable the reader to more easily pursue additional readings. Behavioral scientists teaching control courses will be very interested in this book.

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Modeling a Likeness in Clay (Practical Craft Books) Review

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(More customer reviews)Mrs Grubbs has lots of talent, being a pedagogue is not the least of them. As she shares her technique with the reader, every step is thoroughly illustrated and commented. Numerous examples of specific situations are shown in detail along with the sculptor's comments.
The first sections establishes the general principles governing the achievement of a likeness, going step by step through the measurements and accurate mass and volume placement, with practical demonstration.
Further sections detail the progress of the work, and the end sections are practical examples of different portrait renditions of models which vary in age, sex, ethnic features, all being taken from actual work carried out by the artist.
As Mrs Grubbs favors kiln-firing of her clay portraits, readers interested in this technique will also find very valuable information, and will learn how to properly prepare a portrait for this purpose.

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Modeling Methods for Marine Science Review

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(More customer reviews)This book covers everything from how to compute a mean, to spatial statistics, to finite difference and numerical integration. It thus provides a thorough introduction to many of the key analytical skills needed by a quantitative marine scientist---or really any Earth System scientist. Significantly, the approach in the book is very much example driven, and accompanied by sample MATLAB scripts; this contributes to the development of students' individual analytical libraries, leaving them with both understanding and capacity. Highly recommended.


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This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book the general principles and goals of scientific visualization are emphasized through technique and application. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

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Modeling the Supply Chain (Duxbury Applied) Review

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(More customer reviews)This book is about math-modeling of Supply Chain Management(SCM). While only few analytical SCM books in market, this book is still different. The presentation of math-modeling does not forbid your curiousity in model by giving a proof, theory, lemma; this book shows you the modeling method to capture the complex SCM problem. I like this book over Simchi-Levi (logic of logistics) for its description, practical aspect and future direction. Also, I prefer this book over Chopra (SCM) and Simchi-levi (SCM) for its higher and better modeling issues. This book takes care the readers well since the solution technique is also given, e.g., Linear Programming, Mixed Integer Programming, Unified Optimization, even simulation. While this book is more on quantitative, the interaction between qualitative and quantitative is given -both basic and advanced level. Suggestion to adapt modeling technique to organization is well presented also. The information technology (IT) section covers most SCM issues as well as the implementation and database for SCM. If you're in this area (either academia or practitioner), you have NO EXCUSE not to get this book seriously. For its uniqueness, this book is not supplementary or option, but it's a requirement for you.

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Supply chains don't manage themselves, although managers sometimes wish they did. For everything you'll need to know about analyzing supply chains, you'll need MODELING THE SUPPLY CHAIN. By using models to analyze the supply chain, you can quickly and effectively find ways to optimize its performance. And because this supply chain textbook is loaded with clear illustrations and practical study tools, this is the textbook that will help you be effective during test times as well.

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The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling Review

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(More customer reviews)This seminal book was the most complete mainstream text on the subject when it was first published in 1991. The reason it remains popular eleven years later (which is an extraordinary life for a computer book) is because it's an applied mathematics book that focuses solely on performance analysis, simulation and measurements. Technology may change at a rapid pace, but the techniques for measuring it do not.
The book is broken into six parts consisting of 36 chapters and ten appendices. Part I is an overview of performance evaluation. I liked the chapter on common mistakes and how to avoid them, and the guidelines for selecting techniques and metrics.
Measurement techniques and tools are the focus of Part II. the eight chapters in this part address the full spectrum, including workload types, characterization techniques, capacity planning and benchmarking, and data presentation. Most of the chapters are generic enough to be timeless. The chapters covering execution monitors and accounting logs are showing their age, but the concepts are still valid. I especially liked the chapters about data presentation and ratios.
Part III is a refresher in statistics and probability, and can safely be skipped if your knowledge and skills are fresh. Part IV delves into experimental design and analysis, while Part V covers simulations. The remaining six chapters of the book, Part VI, are devoted to queuing models.
Note that although the math is clearly explained you need college level skills in order to fully comprehend the techniques presented. I recommend investing in MathCAD or a similar program to make it easy to work the exercises that end each chapter.
This book is one of the handful that will be on your bookshelf for years to come. It's probably one of the most frequently referenced works in the performance analysis, resource management and capacity planning knowledge domains. Because it has well designed exercises at the end of each chapter it's also well suited as an advanced college level text. In my opinion it's essential reading for performance and capacity analysts, and provides an excellent foundation for more specialized books, such as those by Menasce and Almeida, that address topics such as e-commerce performance, web services, etc.

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The Art of Computer Systems Performance Analysis "At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. Highly recommended!" -Dr. Leonard Kleinrock University of California, Los Angeles "An entirely refreshing text which has just the right mixture of theory and real world practice. The book is ideal for both classroom instruction and self-study." -Dr. Raymond L. Pickholtz President, IEEE Communications Society "An extraordinarily comprehensive treatment of both theoretical and practical issues." -Dr. Jeffrey P. Buzen Internationally recognized performance analysis expert ". it is the most thorough book available to date" -Dr. Erol Gelenbe Universit? Ren? Descartes, Paris ". an extraordinary book.. A worthy addition to the bookshelf of any practicing computer or communications engineer" -Dr. Vinton G. Cer??? Chairman, ACM SIGCOMM "This is an unusual object, a textbook that one wants to sit down and peruse. The prose is clear and fluent, but more important, it is witty." -Allison Mankin The Mitre Washington Networking Center Newsletter

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Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models Review

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(More customer reviews)This book provides well-written, comprehensive coverage of latent variable modeling. Suitable for a masters level (or preferably, a Ph.D.) statistician. Not suitable for someone with a few intro stat courses. Presents multilevel, longitudinal and structural equation modeling and factor analysis using a unified framework, which is both a help (better insights, easier to extend conceptually) and a hindrance (complex when one first tries to understand it). Includes many examples, which makes it much easier to apply these techniques to real life data analysis problems. Practically an encyclopedia of statistical models.

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Decision Modeling with Microsoft(R) Excel (6th Edition) Review

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(More customer reviews)Decision Modeling with Microsoft(R) Excel gives a good overview of using Excel to address various linear optimization problems, decision analysis, and event simulation that one might encounter as a manager of a company. The book oozes with examples and case study snippets, helping one see the practicality of the models as tools in exploring decisions.
While Excel has a lot of features, one cannot help but feel like it's a hammer in search of nails. For example, LINDO (not included on the disk) may be easier to work with than the Excel Solver for some problems. Similarly, tools like Crystal Ball, which is included on the CD and runs within Excel, are rarely mentioned.
Many of the included Excel macros were based on Excel version 4, meaning that if you have more recent versions, like Excel 2000, you may encounter difficulties loading them because the security model for the earlier macros is different. You can work around this by selecting Tools -> Macros -> Security, setting medium security, then selecting Tools -> AddIns and loading the macro (e.g., Treeplan). Once you do this, you can set security back to "High" for better protection.

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For undergraduate/MBA-level courses in Management Science and Decision Modeling.This text introduces students to the key ideas of modeling and management decision making that will be important to them throughout their careers. Addressing the needs of students interested in both business administration and decision science careers, it provides a conceptual foundation for all topics and the role of spreadsheet modeling techniques in the larger context of business decision-making. It features a wealth of realistic, relevant examples updated to reflect the latest Excel 2000 version, and actively engages students in model building and analysis. An accompanying CD-ROM contains extensive software application packages students will use long after the course is completed.

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Reliability Physics and Engineering: Time-To-Failure Modeling Review

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(More customer reviews)This is an excellent Reliability Student's textbook with plenty of examples throughput the book and problems with answers at the end of each chapter. It is also an excellent reference book for the Reliability Professional with all the necessary equations, explanations, failure mechanisms and citations. I will be constantly referring to this book in my daily work as a Reliability Engineer.

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This book provides the basic Reliability Physics and Engineering tools that are needed by Electrical Engineers, Mechanical Engineers, Materials Scientists, and Applied Physicists to build better products. The material includes information for engineers to develop better methodologies for producing reliable product designs and materials selections to improve product reliability. Important statistical training and tools are contained within the text. The author emphasizes the physics of failure and the development of reliability engineering models for failure.The beginning of the book concentrates on device/materials degradation and the development of the critically important time-to-failure models. Since time-to-failure is a statistical process, the needed statistical tools are presented next along with failure-rate modeling. Following that the use of accelerated testing and the modeling of the acceleration factors are presented. The next section focuses on the effective use of these acceleration factors, during initial product-level testing and operation, in order to reduce the expected device failure rate in the field. The important time-to-failure models are presented next for Electrical Engineering applications. Likewise, the next section addresses important time-to-failure models for Mechanical Engineering applications. The final chapters provide both Electrical and Mechanical Engineers with design help specifically, conversion of dynamic/transient stresses into equivalent static forms, establishing aggressive but safe design rules, and the need to look very closely at design and process interactions.

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