Book Description
ASW's Introduction to Management Science: A Quantitative Approach to Decision Making provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it's a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included as well.
Customer Reviews:
Good program with textbook.......2007-08-22
I had to use this text for a sophmore level management science course. While the book is extensively detailed, it is written for graduate school level course work. The program that comes with the text is much more useful for the undergrad student tackling business statistics.
Graduate Students Guide.......2006-03-10
This book is an essential guide for every graduate student. It makes mathematical and technical concepts of management science understandable and useful.
Good college textbook.......2006-02-25
This book provides thorough explanations, good tables, graphs, examples and self-test questions with most of the answers in the back of the book.
katz.......2005-04-19
Trust Me. This is the only book that you'll need to get started started in this area. The authors have done an excellent job in producing such a work, that takes care to explain all the details of management science.
I used this text for my professional exams (CIMA) and the it was great. All the chapters in this book are cleanly written to take that I doesn't leave anything unexplained. However, the following chapters are the ones that I like the most in this book:
1. Introduction to LP
2. LP: Sensitivity Analysis: Amazing work here.
3. LP Applications: formulation of problems in this chapter may be bit difficult at first, but keep reading and you'll learn and appreciate the work that the authors have put in.
4. LP - Simplex Method: My favorite chapter. Is highly readable. This one chapter alone is worth the book.
5. LP - Simplex Sensitivity.
6. Integer LP
7. Project Scheduling - Great, well written chapter, another favorite of mine.
8. Decision Analysis - Good but the problems are repetative.
9. Markov Process - An introduction only, but the application of markov process to accounts receivable anlaysis is very useful for anyone wondering about the applications of markov processes.
Overall a great book that is worth its price.
Book Description
Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes’ arbitrage pricing of options and other derivative securities; Markowitz portfolio optimization theory and the Capital Asset Pricing Model; and interest rates and their term structure. Assuming only a basic knowledge of probability and calculus, it covers the material in a mathematically rigorous and complete way at a level accessible to second or third year undergraduate students. The text is interspersed with a multitude of worked examples and exercises, so it is ideal for self-study and suitable not only for students of mathematics, but also students of business management, finance and economics, and anyone with an interest in finance who needs to understand the underlying theory.
Customer Reviews:
Mathematics for Finance: A useful tool for the unskillled investor.......2007-03-19
I enjoyed reading the book and solving exercises in it. I have a Ph.D.in chemistry and my wife and I did our his and her's MBA in the 1990s. I wanted to learn more concepts in finance and needed an easy entry, something I could enjoy, and without spending much money. The book by Capinski came recommended from a friend who teaches Economics at Cal State. I can speak for myself: I feel reasonably informed and I feel the book gave me concepts I can use to handle my own portfolio.
In the future, this text should be offered with an interactive CD that contains Xls, matrix, calculus, and graphing capabilities so one (I) can visualize the outcomes of proposed solutions.
Incoherent.......2007-01-18
Anyone can scribble a bunch of equations on paper and call it a book. Without sufficient context, they are useless.
Insufficient and disappointing. Not even a good introductury text........2006-05-15
As a graduate student in Financial Engineering I have found this book useless.
The title of the book is "Mathematics for Finance", but can you find in it even an elementary introduction to the stochastic processes? No. Ditto for the Ito's lemma and many other topics. The derivation of the Black Scholes formula is just sketched, and the insight that you can get from it is very limited.
Nevertheless, I wouldn't mind these limitations if this book provided a clear introduction to more advanced topics: unfortunately this book is not good even in that. In comparison to other textbooks the theorems and definitions are convoluted and do not go straight to the point. For example, in Shreve's "Stochastic Calculus for Finance" or Baxter & Rennie "Financial Calculus" the Fundamental Theorem of Asset Pricing is stated in this way: "In a market with risk neutral probability there is no arbitrage". Can you find such a simple and explanatory definition in Capinski's book? Not at all. The theorem at page 83 (you can see it yourself by searching inside the book) basically says the same thing using 8 lines of text and little financial intuition.
The only good thing that I can say about this book is that all exercises are resolved.
Overall, "Mathematics for Finance" has been a big disappointment: it doesn't have either the mathematical depth of Shreve's books or the conciseness in explaining financial concepts of Baxter & Rennie.
Whatever is the level of education that you are pursuing, graduate or undergraduate, I don't see any point in using it.
Great Book for Undergrad Quants.......2005-08-29
Mathematics for Finance (An Introduction to Financial Engineering) is a book intended for undergrad students "IN MATHEMATICS" or other discipline with a relative high mathematical content.
The book assumes some basic notion of Calculus and Probability Theory and it is focused more on the mathematics than in its theory and application of Finance. If you are looking to dwell into the mathematics (Proof of Equations) this is a great book, but if you are looking for a book that is rich in theory and in application then you should consider "Option, Future and Other Derivatives" or "Quantitative Methods for Finance" as an alternative. Both books are "a most" for any finance student and are of great help. Now if you want an introduction into the mathematics behind Finance then this book is a perfect purchase.
Important to state that all the problems presented in this book are solved meaning that it is great for self teaching. Marek Capinsi and Thomas Zastawniak have done a great job on this book.
I gave it four stars, because it has room for impovement.
Joining the chorus.......2005-08-03
I can only echo the other reviewers. As far as I can tell this book has no serious competition. This is an excellent introduction to mathematical finance for those with a solid undergraduate level understanding of higher math but without graduate level exposure. I agree that it is ideal for self study as that is exactly what I am using it for. The price is right especially in contrast with its overpriced brethren. Five stars!
Book Description
Like its predecessors, this introductory text teaches students the fundamental concepts of healthcare finance, including both financial management and accounting. It was developed to be used in clinical and health services administration programs, in which students are primarily trained for careers in provider organizations.
New to the third edition are coverage of the Sarbanes-Oxley Act, the impact of cost structure on risk, a revised approach to variance analysis, and revenue.
Customer Reviews:
Could be greatly improved.......2007-10-08
The problem with this book is it is written too much like a book and not like a textbook. It is nearly impossible to find the equations that are embedded in the text if you are trying to do a quick reference on a concept. In addition, the index is horrible which leaves me constantly googling concepts that I need for the case studies since you can never find them in the book. Also, I'm not really sure how the book distinguishes itself as "health care" there is little to no health care specifics as far as finance goes. In all reality it isn't a great book especially if it is for your first finance class and you're better off looking up academic journals for a the health care finance perspective.
Cram 101.......2007-05-30
This purchase was to help me with my course and go hand in hand with the engimatic book. However, it hit highlights but was not helpful to me in question answers and reviews for test. If you want a book with definiton's to help you , this is a 5 . If you want help with the Gapenski engima , its a 1.
Straight to the point and practical.......2007-02-07
Very good textbook: gives you all the necessary foundations for understanding the financial issues in healthcare.
A Great Intro Into Health Care Finance.......2000-12-01
As stated in the preface of the book, the goal of the book, "was to create a text that introduces students to the most important principles and applications of healthcare finance..." This book was an excellent introduction into finance. Not only did it explain accounting and financial terms and theories, it uses excellent examples of real life health care situations to further the reader's understanding of the topics. This was my first time exposed to finance of any type. At the end of the book, I felt like I had a firm understanding of the basics. Excellent book for beginners.
Superb textbook.......2000-11-30
As a cardiologist, I have used many textbooks over the years. I am now a hospital's Chief Medical Officer and am enrolled in an MHA program. Dr. Gapenski's book is one of the best-written textbooks I have ever used. It clearly and consisely discusses financial concepts as they apply to healthcare. He has the ability to make the most complex concepts easily understood.
Book Description
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.
Customer Reviews:
Great book and professor, maybe don't try this at home alone!.......2006-04-28
Echoing another reviewer this is a great book and M Hill is a great teacher. Couple of minor glitches however - some of the software should be obtained from the web not the CD as there were production problems with (some of?) the CDs - this is not a problem as most of the software has free albeit limited educational software licenses. I would be cautious about trying this stuff at home alone as a beginner however - some minor errors in spreadsheet construction can lead you badly astray. Human instructors are still value added and here especially so! However I cannot imagine a better book to use under any circumstance for someone wanting to learn about this material. Optimization is the closest thing you will ever find to getting a free lunch and this is a first class introduction
Great Professor... Great Book!.......2005-12-20
I was a student of Professor Mark Hillier and truly enjoyed both his class and his textbook. His ability to break concepts down to their simplist form is an excellent teaching tool. I recommend this textbook for all MBAs and anyone interested in optimizing a process in their life. Linear Programming is easy with this book. [...]
One of the easiest books to understand!.......2005-10-08
This book is overall very good for graduate studies. Its language is simple and explains the concepts very well.
I personally found some minor issues like:
1) Example given are too much lengthy and it takes time to come to a point.
2) Sometimes you cannot understand the questions being asked.
Overall, I recommend this book to everyone.
Non-user friendiness.......2004-05-18
Factors that contributed to a low rating for this book include, a lack of user-friendliness and lengthy case studies. The blue colored wordings (black would be better) can be quite glaring under the lights making it not smoothing to the eyes.
Furthermore, it uses long case studies which could have been shortened by cutting down on the introductions to the companies it made reference to. More focus should be given to concepts at the earlier stage of every section, instead of making the reader running through a lengthy introduction before focusing on the concepts.
Important concepts could also have been left out. One example would be the omission of 'Reduced Cost' under the chapters of Linear Programming and Integer Programming.
However, this book is certainly catered to users of MS Excel. It has in-depth discussions of Excel in areas of Management Science
Book Description
In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques. An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecture-note style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise. Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice.
Customer Reviews:
read this before going for it.......2007-04-23
Well first off I would like to tell anyone who doesn't have a solid working knowledge of calculus (including multivariate) to avoid this book as it requires multiple integrals and infinite series and sequences. Now onto the good and the bad:
THE GOOD:
This text explains concepts very well and is FULL of examples. I mean literally 3/4 of the book, maybe more, is examples. Every chapter also has a section of problems that have partial solutions, which can come in very handy. This is pretty much all that is good about this text, but keep in mind that explaination is the most important part of any textbook.
THE BAD:
The proofs skip plenty of steps. And I mean plenty, so much that a proof in the book would take 5 lines but when my professor proved it in class it would take him nearly 15. Also while there are tonnes of examples, too many are theoretical and very hard. The book costs a hefty amount of change and is suprisingly small, Author couldl have given few more examples to make it interesting. However the worst thing about this book is how the author leaves important things in with the text often. However most these things are small, and overall the text is a good intro to probability theory.
a very good book.......2006-10-31
The authors wanted to write the book that they themselves would have liked to read before starting a profession in risk management. I am working for a treasury consultancy firm. This book was the best of the five I bought. The text is very clear yet does not assume too much prior knowledge. It covers theory as well as industry practice. The book contains much advanced statistics and readers must have some background in order to handle this. The authors keep it simple but not too simple. Their approach is pragmatic throughout. I am really happy to have read this book when I started doing work in credit risk management.
good combination of math and finance.......2006-02-22
As indicated on the back of the book, the authors are aiming at audience who have some knowledge in both math and finance but may be weak in one and strong in another. Either way, this is a good book to read on credit risk.
Clear and comprehensive.......2005-10-27
This book clearly articulates basic concepts of credit risk modeling. At the same time it is mathematically rigorous. This book enables non mathematician with some (basic) knowledge in probability statistic to better understand and develop his risk management skills.
A good read!.......2004-08-19
Easy to understand with not a tremendous amount of complicated math to dicipher. Just what the doctor ordered.
Average customer rating:
- Do not buy this CRAM book.
- Sacred Book on SQC
- Great SPC book
- good book worst service
- Everything You Ever Wanted to Know about SPC
|
Introduction to Statistical Quality Control
Douglas C. Montgomery
Manufacturer: Wiley
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Introduction to Statistical Quality Control, Student Resource Manual
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ASIN: 0471316482 |
Book Description
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation.
Customer Reviews:
Do not buy this CRAM book........2007-01-22
If you want to understand and pass a subject, you have to read the original book (here Introduction to Statistical Quality Control by Montgomery) and try to understand the examples and the concepts in the book. In addition you have to do several exercies in this book to reinforce this understanding. Studying some outlines, highlights and notes prepared by other people won't help you much.
Sacred Book on SQC.......2007-01-12
If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.
Great SPC book.......2004-08-14
Used this book in a graduate level course on SPC. The book and the excercises were interesting and highly informative, as are all of Dr. Montgomery's numerous texts. Most concepts are backed up with liberal examples to help understand the theory and cement the concept and their practical applications, and run the whole gamut from management to electrical engineering problems. Many of the tables in the back of the book, such as the random number table, are outdated due to computers, however these may have been dropped in the new version of the text.
good book worst service.......2004-06-30
the book is very good ..no doubt but the service is aweful.
1. on the website they show it is a hardcover book and so i ordered for it but got a soft cover book ...now i have to worry about return or refunds etc...
2. had to wait for 3 weeks to get the book.
3. print quality aweful ...the original book has good color print...the one i received for the same price has a black and white print with very thin see-through pages...
my advice would be to avoid abebooks.com through amazon if possible because the same book is listed for $ 33 on their own website and here they sell it for $ 41 ...so waste ur money if u want.
Everything You Ever Wanted to Know about SPC.......2003-09-12
As the developer of the QI Macros SPC Software for Excel, customers often call with exotic questions about statistical methods for quality control.
Montgomery's book, more often than not, is the one I turn to for answers that I can't seem to find anywhere else. Even if I do find the answer in another book, it's always easier to understand in Montgomery's. The book is written in a way that makes seemingly incomprehensible statistics understandable. And there are plenty of examples.
If you're looking for a book to help you implement quality control in a small business, Montgomery's book is a bit too much, so you might consider my book on the Small Business Guerrilla Guide to Six Sigma or Six Sigma Simplified.
Book Description
Authored by a well-respected team in labor relations, this text covers key topics in industrial relations and collective bargaining using a unique conceptual framework based on the three levels of industrial relations activity (strategic, functional, and workplace). Two extensive, class-tested mock-bargaining exercises are included. International and comparative labor relations are both integrated throughout and receive full chapter treatment. The text extensively discusses recent reorganizations in the process and outcome of bargaining, including detailed treatment of the participatory process.
Average customer rating:
- Poor Intro to Digital
- A Book Not To Read
- Tell your teacher to get another book!
- Good reference, poor for beginners
- If you want something detailed, this book ain't it
|
Introduction to Digital Systems
Miloś D. Ercegovac ,
Tomás Lang , and
Jaime H. Moreno
Manufacturer: Wiley
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MIPS Assembly Language Programming
ASIN: 0471527998 |
Book Description
A basic grounding in one of today's quickly evolving technologies. To gain one's bearing in the whirlwind of rapid development in the digital theory arena, getting a firm grasp of the basics is vital. This book provides a solid foundation in the elements of basic digital electronic and switching theory. Down to earth, yet scholarly in approach, it builds on theory with discussions of real-world digital components, design methodologies, and tools. A companion Web site provides additional information.
Customer Reviews:
Poor Intro to Digital.......2005-05-22
This book was assigned for my undergrad intro digital logic class. It is probably the worst possible introduction to the subject. The material is only mildly to moderately difficult in practice, but the authors managed to make it convoluted. If you are unfortunate enough to have this book assigned, I suggest that you purchase another textbook on the subject, and just get the homework problems from your classmates or from the reserve copy at the library.
A Book Not To Read.......2002-11-01
This book is absolutely horrible. The Professor who teaches this class with this book HE WROTE, is utterly dispicible because of his teaching ability. This professor, at UC Irvine does not know the one bit in teaching a COMPLICATED subject like Digital Systems to a class who has had little to no experiece with this type of work. I hope this book is revoked for any reason, and hope that professor reads this review in order to gain some knowledge about the way he is teaching a class of Engineers in an era where knowledge is not automatically achieved, rather taught by knowledgable instructors.
Tell your teacher to get another book!.......2000-06-26
I used this book for an introductory logic design class. I was able to learn from it, but it was difficult. The teacher didn't even use it much. The book was not well written and hard to understand. I recommend learning from another book.
Good reference, poor for beginners.......2000-03-29
I began learning about hardware design with this book. Now I use it for reference.
But for beginners, this is not a very good book. Although hardware design is somewhat difficult to explain, the book does not analyze subjects in detail or how circuits work. When it does try to explain topics, it does not do so clearly and provides few examples. Unless you have outside help (such as a teacher, professor, teaching assistant, etc.), I would definitely recommend finding another book to learn about hardware design because you will struggle while trying to figure out how things work (if you are a novice).
If you want something detailed, this book ain't it.......1999-05-25
This book is very "bare" when and it doesn't offer enought examples. This book is difficult to understand and takes deciphering the material takes many tedious hours. Therefore, I would like to conclude by saying this is absolutly the worst text book that was ever written.
Book Description
The objective of this management science book is to help the reader solve the decision-making problems that confront managers in both the public and private sectors. It demonstrates the use of mathematical models to solve these problems, and provides numerous examples and illustrations to help the reader easily understand the material presented. Its concentration on computer solutions with Excel spreadsheets allows the reader to focus on the newest technological tools.
Topics covered in this comprehensive book are linear programming; integer programming; transportation, transshipment, and assignment problems; network flow models; project management; nonlinear programming; probability and statistics; decision analysis; queuing analysis; simulation; forecasting; and inventory management.
With its comprehensive appendices and CD-ROM module examples, this book is an excellent reference work for managers that utilize modeling techniques to solve problems and make decisions.
Customer Reviews:
A lot is missing.......2006-11-29
While I welcome the practical style, with to-the-point chapters, this book leaves a lot out. For instance, in Integer Programming, you will *not* see the branch-and-bound technique explained. The Simplex method is in the appendix! The whole book is dependent upon proprietary software, such as the Excel solver.
Because of the outrageous price and these "features", I recomend you get yourself a copy of the competition (e.g., Hillier), and stick more to "tradition", because it is much more likely to create a foundation. In today's fast moving world, we need foundations, not quick fixes.
I did appreciate the excercises, though, a lot of them with answers (but at this price?)
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Study Guide to accompany Introduction to Management Science: Quantitative Approaches to Decision Making
Managing Human Resources (5th Edition)
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