Average customer rating:
- Nice book!
- You've got to have this!
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Introductory Mathematical Analysis for Business, Economics and the Life and social Sciences (11th Edition)
Ernest F Haeussler ,
Richard S. Paul , and
R.J. Wood
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover
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Introductory Mathematical Analysis for Business, Economics, And the Life And Social Sciences: Student Solutions Manual
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ASIN: 0131139487 |
Book Description
Introductory Mathematical Analysis continues to provide a mathematical foundation for students in business, economics, and the life and social sciences. The abundant applications in the book cover such diverse areas as business, economics, biology, medicine, sociology, psychology, ecology, statistics, earth science, and archaeology.
For anyone interested in learning more about introductory mathematical analysis.
Customer Reviews:
Nice book!.......2000-11-03
This book is really easy to understand. Its language is so simple. Anyone can read and understand it so well, even if your first language is not English. It gives nice examples with details to explain the solutions of the problems. It's about 19 chapters and they are: 0. Algebra Refresher. 1. Equations. 2. Applications of Equations and Inequalities. 3. Functions and Graphs. 4. Line, Parbolas, and Systems. 5. Exponential and Logarthimic Functions. 6. Matrix Algebra. 7. Linear Programming. 8. Mathematics of Finance. 9. Introduction of Probability and Statistics. 10. Additional Topics in Probablity. 11. Limits and Continuity. 12. Differentiation. 13. Additional Differentiation Topics 14. Curve Sketching. 15. Applications of Differentiation 16. Integration. 17. Methods of Applications of Integration. 18. Continuous Random Variables. 19. Multivariable Calculus. I recommend this book for students or readers for business because it teaches the basics of the topics (above)
You've got to have this!.......2000-03-31
The authors of this book seems to be a mathematician if you take a good look at all his other books. Great for intermediate mathematicians!
Customer Reviews:
maybe luckily, mathematics here is easy.......2000-06-22
I use this book for my "Quantitative Methods for Decision Making" class and there is some involvement of mathematics. But it is just easy to understand and to use. Also the methods used here are really sort of fundamental and important. I recommend this book for those who really hate deep mathematical involvement in management science.
Introductory management science.......2000-06-21
This book focus mainly on spreadsheet techniques for quantitative analysis. Though it provides several interesting topics, it maybe organize and add more issues of real world. It should also provide some basic concepts such as the simplex method of linear programming. It should also emphasize on the objectives of studying every quantitative techniques (maybe present as flowchart) before reading each chapter.
Book Description
Incorporates the many tools needed for modeling and pricing in finance and insurance
Introductory Stochastic Analysis for Finance and Insurance introduces readers to the topics needed to master and use basic stochastic analysis techniques for mathematical finance. The author presents the theories of stochastic processes and stochastic calculus and provides the necessary tools for modeling and pricing in finance and insurance. Practical in focus, the book's emphasis is on application, intuition, and computation, rather than theory.
Consequently, the text is of interest to graduate students, researchers, and practitioners interested in these areas. While the text is self-contained, an introductory course in probability theory is beneficial to prospective readers.
This book evolved from the author's experience as an instructor and has been thoroughly classroom-tested. Following an introduction, the author sets forth the fundamental information and tools needed by researchers and practitioners working in the financial and insurance industries:
* Overview of Probability Theory
* Discrete-Time stochastic processes
* Continuous-time stochastic processes
* Stochastic calculus: basic topics
The final two chapters, Stochastic Calculus: Advanced Topics and Applications in Insurance, are devoted to more advanced topics. Readers learn the Feynman-Kac formula, the Girsanov's theorem, and complex barrier hitting times distributions. Finally, readers discover how stochastic analysis and principles are applied in practice through two insurance examples: valuation of equity-linked annuities under a stochastic interest rate environment and calculation of reserves for universal life insurance.
Throughout the text, figures and tables are used to help simplify complex theory and pro-cesses. An extensive bibliography opens up additional avenues of research to specialized topics.
Ideal for upper-level undergraduate and graduate students, this text is recommended for one-semester courses in stochastic finance and calculus. It is also recommended as a study guide for professionals taking Causality Actuarial Society (CAS) and Society of Actuaries (SOA) actuarial examinations.
Download Description
Incorporates the many tools needed for modeling and pricing in finance and insurance Introductory Stochastic Analysis for Finance and Insurance introduces readers to the topics needed to master and use basic stochastic analysis techniques for mathematical finance. The author presents the theories of stochastic processes and stochastic calculus and provides the necessary tools for modeling and pricing in finance and insurance. Practical in focus, the bok's emphasis is on application, intuition, and computation, rather than theory. Consequently, the text is of interest to graduate students, researchers, and practitioners interested in these areas. While the text is self-contained, an introductory course in probability theory is beneficial to prospective readers. This book evolved from the author's experience as an instructor and has been thoroughly classroom-tested. Following an introduction, the author sets forth the fundamental information and tools needed by researchers and practitioners working in the financial and insurance industries: Overview of Probability Theory Discrete-Time stochastic processes Continuous-time stochastic processes Stochastic calculus: basic topics The final two chapters, Stochastic Calculus: Advanced Topics and Applications in Insurance, are devoted to more advanced topics. Readers learn the Feynman-Kac formula, the Girsanov's theorem, and complex barrier hitting times distributions. Finally, readers discover how stochastic analysis and principles are applied in practice through two insurance examples: valuation of equity-linked annuities under a stochastic interest rate environment and calculation of reserves for universal life insurance. Throughout the text, figures and tables are used to help simplify complex theory and pro-cesses. An extensive bibliography opens up additional avenues of research to specialized topics. Ideal for upper-level undergraduate and graduate students, this text is recommended for one-semester courses in stochastic finance and calculus. It is also recommended as a study guide for professionals taking Causality Actuarial Society (CAS) and Society of Actuaries (SOA) actuarial examinations.
Average customer rating:
- Explains Odd Number Questions, Skips Evens
|
Introductory Mathematical Analysis for Business, Economics, And the Life And Social Sciences: Student Solutions Manual
Ernest F., Jr. Haeussler ,
Richard S. Paul , and
Richard Wood
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Paperback
General
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Calculus
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Introductory Mathematical Analysis for Business, Economics and the Life and social Sciences (11th Edition)
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ASIN: 0131139495 |
Customer Reviews:
Explains Odd Number Questions, Skips Evens.......2007-02-14
This book DOES NOT have the answers to the even numbers. If you look in your original textbook (Introductory Mathematical Analysis), the back of the book just gives you the ODD answers without an explanation.
While this Student Solutions Manual does an OK job of explaining how they got an answer, I was under the impression that it did all the problems.
THIS BOOK ONLY SOLVES THE ODDS -- NOT THE EVENS.
Average customer rating:
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Taxation and Economic Behaviour: Introductory Surveys in Economics, Volume I
John Creedy
Manufacturer: Edward Elgar Publishing
ProductGroup: Book
Binding: Hardcover
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ASIN: 1840647329 |
Book Description
Taxation and Economic Behaviour offers a number of broad introductory surveys in the areas of public economics and public finance. Divided clearly into two parts - measurement issues and taxation and economic behavior - this innovative collection of articles consists of published refereed papers and several new and previously unpublished pieces.
Initially, the book focuses on measurement issues, and includes chapters on income inequality, poverty, tax progressivity, income dynamics and welfare changes. It then goes on to explore the wider theme of taxation and economic behavior, including material on taxation and labor supply, behavioral micro simulation modeling, and general equilibrium. Throughout the book, John Creedy makes use of numerical examples which help to illustrate the structure and use of the various models.
Providing introductory material and syntheses of a wide range of topics, Taxation and Economic Behaviour will be welcomed by students, teachers and researchers with an interest in public finance and public sector economics.
Book Description
An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.
Customer Reviews:
An easy to comprehend introduction to statistics.......2006-03-03
I used this book as a primary source for my MBA course in statistics and found the book easy to comprehend and well written. In my opition, the book targets a reader who can devote time required to move from section to section to uncover the facinating coverage of the non-trivial subject of statistics and to work on examples. I highly recommend the book to those who want to grain strong comprehension of the basic statistics.
Excellent Introductory Text.......2004-04-09
This text provides a thorough introduction to the use of mathematical statistics. Carefully reading the text and solving a reasonable number of the problems will provide one with the capability to apply statistical techniques to analyze data and draw conclusions in real applications. The book is strong on examples but light on theory. Particulary noteworhty is the inclusion of several topics (such as Monte Carlo methods and Bayesian decision theory) that typically are not covered in an introductory presentation. Also useful are the end of chapter "Final Challenges" that require the reader to have mastered the material. If one's objective is to apply statistics to draw appropriate inferences and make decisions, this text will provide the reader with the required tools.
Our class struggled with this one..........2003-12-21
Admittedly, statistics is a challenging subject, but if it's well taught, smart and conscientious students will grasp it. Part of teaching it well calls for a textbook that understands students' needs and abilities, and can lead them systematically from where they are to higher levels of understanding and ability. For my money, Wonnacott & Wonnacott's Introductory Statistics is a clumsy effort in this respect. There isn't enough explanation of new concepts. The graphics and layout aren't very appealing. The examples weren't that useful for our class of social science majors. And each chapter is interrupted repeatedly with practice questions, which get in the way of building on concepts and maintaining a flow. As one other suffering student remarks here, you do a lot of flipping back and forth. OK, so statistics is hard; but this text makes it more difficult than it has to be, and less interesting than it can be. I speak not just for myself: this fall I was in a graduate class of bright, able, hard-working people, and many of them were having a very rough time of it. Something's wrong pedagogically when that happens. Let me recommend an alternative text--Minium, Clarke, & Coladarci's "Elements of Statistical Reasoning," second edition. I used this text four years ago in another intro class taught by Coladarci himself. He's a very talented educator, and he got a classroom full of math-anxious students through some very challenging stuff. Don't take my word for it, though. Check out the reviews on Amazon. They're deservedly very positive. I found myself going back to that book throughout this past semester whenever I was in deep water with Wonnacott and Wonnacott. Once again it pulled me through.
Why do these same reviews turn up in Wonnacott?.......2003-09-20
It is very curious that the same customer reviews for the Mann Introductory Statistics textbook also appear, verbatim, on the page for Wonnacott and Wonnacott 's Introductory Statistics. What gives, Amazon? I personally haven't looked at Mann, so I am not reviewing it...only commenting on the apparent crossed wires somewhere in the Amazon database.
Best Introductory text out there.......2003-02-18
I personally taught out of this text on 3 occasions and consider it to be the single best introductory statistics book ever written, period.
Book Description
A strong relationship clearly exists between mathematics and modern economics; mathematics helps extend and formalize economic theory, and quantitative economic data influences the development and refinement of mathematical models. In Introductory Mathematical Economics, 2/e, author D. Wade Hands introduces students to a variety of new mathematical tools and explains how to apply those tools to a broad range of economic problems. The book begins with an overview of the necessary mathematical background, then presents a number of more advanced mathematical tools that allow students to expand their knowledge of economics. It offers a mix of classical and contemporary economic theory, covering the standard mathematical techniques such as optimization and comparative statics, as well as more specialized topics such as uncertainty, dynamics, nonlinear programming, and matrix theory. Thoroughly revised and updated, this second edition offers students a wide range of mathematical techniques and the associated economic theory. The new Chapter 0, a mathematical review covering all prerequisite mathematics, serves as both a precourse mathematics refresher and a handy reference. All end-of-chapter problems are economics problems; many are detailed and require a substantial amount of economic interpretation in addition to the technical analysis. These problems have been revised and expanded in this second edition. Boxes in each chapter provide economic examples of relevant mathematical concepts. Several boxes discuss recent developments in economic theory, while others present results that influenced the evolution of modern economics. Featuring a clear and concise presentation of mathematical and economic concepts, Introductory Mathematical Economics, 2/e, is ideal for undergraduate courses in mathematical economics.
Customer Reviews:
Excellent.......2000-08-05
I found this book to be an excellent Math study with real-world applications. It develops the reader's skills from the simple stuff (that one is to embarrassed to say she needs to study) to reasonably involved applications with problems in economics, finance, and the like. I'm using it to prepare for business school, so I don't get crushed by finance geeks from Wall Street. I heartily recommend it.
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