Book Description
Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the implementation of large data sets and to obtain useful results. S-Plus is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply a number of statistical methods, ranging from simple regression to time series or multivariate analysis. This text offers extensive coverage of many basic and more advanced statistical methods, concentrating on graphical inspection, and features step-by-step instructions to help the non-statistician to understand fully the methodology.
- Extensive coverage of basic, intermediate and advanced statistical methods
- Uses S-Plus, which is recognised globally as one of the most powerful and flexible statistical software packages
- Emphasis is on graphical data inspection, parameter estimation and model criticism
- Features hundreds of worked examples to illustrate the techniques described
- Accessible to scientists from a large number of disciplines with minimal statistical knowledge
- Written by a leading figure in the field, who runs a number of successful international short courses
- Accompanied by a Web site featuring worked examples, data sets, exercises and solutions
A valuable reference resource for researchers, professionals, lecturers and students from statistics, the life sciences, medicine, engineering, economics and the social sciences.
Customer Reviews:
Ambitious, but doesn't fully meet its ambitions.......2005-06-02
Mathematical level: Moderate
For the right audience, this is a very good book. The problem is finding the right audience. The book attempts to cover a lot of ground; in a typical graduate program in the social sciences, it would be at least 3 semesters worth, maybe more. But, if you've had the statistics, and need to learn S-Plus, this book offers a lot of good hints. The problem is that it doesn't teach S-Plus as give a lot of interesting examples, so you would also need an S-Plus book. Therefore, the right audience is someone who knows some statistics and some S-Plus, but wants to get some hints for both.
Teachers, students, and researchers - stop here!.......2004-06-13
This is far and away the best statistics book I have found for the non-statistician. As a researcher and introductory behavioral statistics teacher this book has proven invaluable to me.
Crawley explains the connecting ideas that foster understanding that so many others seem to omit. Teaching statistics graphically rather than formulaically using the free student version of s-plus, my students come away understanding the foundations of statistics including measures of central tendency, probability distributions, regression, and ANOVA.
The interesting thing is that when I need an introduction to survival analysis or non-linear regression, I'm able to pick up the same book. Crawley explains many more advanced analyses with the same care and thoroughness that he does the basics including log-linear analysis, mixed-effects models, Generalised linear models, and time series analysis to name but a few.
I originally picked up this book to learn how to conduct analyses using s-plus but what I found was so much more.
To those of you that are really only interested in learning s-plus this book does that elegantly as well and I prefer it to Venables and Ripley (Modern Applied Statistics with S). I suspect that statisticians will prefer the later title but if you are like me and want some help understanding the analysis and not just how to do it in s-plus then stick with this title.
Book Description
This book introduces mathematical computing using J - a powerful new programming language with practical applications in mathematics, actuarial analysis, scientific research, business data processing, and education. Derived from APL, J was designed as an executable mathematical notation by Dr. Kenneth E. Iverson and was implemented by Roger K.W. Hui. J unifies many areas of mathematics, has a simple consistent syntax with very few rules, yet includes a large number of functions and operators as tools for thinking and problem solving.
Book Description
Newcomers to the world of probability face several potential stumbling blocks. They often struggle with key concepts-sample space, random variable, distribution, and expectation; they must regularly confront integration, infrequently mastered in calculus classes; and they must labor over lengthy, cumbersome calculations. Introduction to Probability with Mathematica is a groundbreaking text that uses a powerful computer algebra system as a pedagogical tool for learning and using probability. Its clever use of simulation to illustrate concepts and motivate important theorems gives it an important and unique place in the library of probability theory. The author smoothly integrates the technology with the traditional approach and subject matter, thereby augmenting rather than overpowering it. This book lives and breathes in the sense that not only can it be read and studied in an armchair, but each section also exists as a fully executable Mathematica® notebook on the CRC Web site. Students will find Introduction to Probability with Mathematica an engaging, accessible, yet challenging way to venture into the fascinating subject of probability.
Customer Reviews:
Sample Programs are Available.......2004-12-30
One reviewer said that the sample programs were not available as promised on the publishers website. That may have been true when that review was written, however, I just checked and the sample programs are now there for download on the publisher's website. In fact, I just downloaded them and they are fully functioning Mathematica notebooks.
An excellent book.......2003-12-12
I purchased this book in desperation while taking a probability class with another textbook, and it has been a lucky find, indeed. The mathematics are limited mostly to basic calculus but provide sufficient rigor to satisfy the interests of mathematically-minded readers. The concepts appeal intuitively to the non-statistician scientist or graduate student as well as the mathematician. This book is easy to read and understand. Mathematica enhances the text and aids the homework, but unlike the reviewer below, I believe this book is valuable even without Mathematica. After reading this book I was able to make sense of the assigned probability text and began to enjoy the course. Introduction to Probability with Mathematica was well worth the investment.
A creative and refreshing approach..........2003-11-05
I considered this book for a course that I thought I was going to teach. The course never got offered but I did discover this neat book in the process. Being a Mathematica fan, I was very happy to see a probability book completely based on Mathematica. In fact, the book itself is a set of Mathematica notebooks, making it very easy for the readers to experiment with the introduced topics. The explanations are clear and are accompanied with neat examples showing real-world uses of probability.
There should be more books like this... Really.
........
I was a guinea pig.......2001-01-09
I was one of the test users of this book at the college where Prof. Hastings teaches. With the use of Mathematica (which is assumed in this book), the book allows one to explore the ideas much more easily. By modifying built in commands, the user can get a better grasp on how specific distributions behave. The commands written for the book are also very helpful. I found the book easy to use and the problems ranged from basic to difficult, but most were intersting (particularly the chapter on simulation). For those with access to Mathematica, this book works seemlessly with the program, making Mathematica a simple to use tool to aid in the understanding of probability rather than get in the way.
No software available.......2000-12-27
The book seems to have good intentions.. but... most of the text uses Mathematica Code that is not available... the promised software on the publishers Website is apparently vaporware.. totally unavailable.. and of course the publishers are "not available"... Without software the book is an expensive waste of time...
Average customer rating:
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An Introduction to Fuzzy Logic and Fuzzy Sets (Advances in Soft Computing)
James J. Buckley , and
Esfandiar Eslami
Manufacturer: Physica-Verlag Heidelberg
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Fuzzy Sets and Fuzzy Logic: Theory and Applications
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Fuzzy Logic for Beginners
ASIN: 3790814474 |
Book Description
This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.
Customer Reviews:
Concise.......2006-08-06
Buckley and Eslami's notation and some of their ideas on fuzzy sets might go deeper than many others. I've found this book intriguing to say the least. You'll find this a very concise "no-nonsense" sort of math book. Ideas get explained in a few sentences or in a few paragraphs, and then come the exercises! And you'll find even more new ideas, not mentioned in the reading, in the exercises. I do like this sort of style of learning mathematics, because it actively gets you involved.
This book and others on fuzzy set theories do require a decent understaning of crisp set theory. So, if one hasn't taken a course or read a book on crisp set theory you might want to check out a copy of Seymour Lipschutz's Schaum's Outline "Theory and Problems of Set Theory." Knowing some basic calculus will also help. Some advantages of this book lie in that it helps one to separate the idea of fuzzy intersections and fuzzy unions from the standard and useful idea of t-norms and t-conorms. Sections on fuzzy geometry, fuzzy trignometry also seem interesting as these ideas have not yet gotten much development.
I think I've detected a potential error in the text in that it gives an integral for an equation that had to have had part of the integral as negative. But, this seems relatively minor. The book could easily get improved if the author(s) provided solved examples of their exercises, or at least answers. Something like a Schaum's Outline of Fuzzy Set Theory would be an excellent idea!
I appreciate simple things in this text like the authors not saying "prove this truth table..." and instead saying "prove or disprove...", and not saying "prove" in general, but rather saying "show".
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An Introduction to Unconstrained Optimisation (Computer Illustrated Text)
J McKeown ,
D Meegan , and
D Sprevak
Manufacturer: Taylor & Francis
ProductGroup: Book
Binding: Paperback
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ASIN: 0750300256 |
Book Description
Integrating computer graphics and computer-based exercises with the text, An Introduction to Unconstrained Optimisation illustrates key methods with many examples and exercises using the computer. The book takes an elementary approach to this advanced topic, allowing readers to concentrate on learning and understanding the concepts of numerical optimization without unnecessary involvement in the intricacies of the subject. In addition, the modular approach of the software provides the opportunity to explore the algorithms used and to develop them further or try alternative approaches. Most of the algorithms are based upon a "hill-climbing" concept which, in two dimensions, is illustrated dynamically on the computer screen in the form of contour plots and search directions. The text is not specific to any particular microcomputer. Software is available for the BBC series of machines (40/80 track disc formats) and PC-compatible machines. The software is not available from your local bookstore, but is easily obtainable using the order form in the book. Keeping proofs and lists of methods to a minimum, the book is at a level suitable for a first course in numerical analysis, with a basic knowledge of calculus and vector algebra assumed. This book/software package will be of interest to professionals, teachers, and undergraduate students in mathematics, operational research, science, and engineering as well as economics and management courses that deal with quantitative methods.
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- The Perfect Introductory Reference for any Bookshelf!
|
Computational Fluid Dynamics: An Introduction
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover
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ASIN: 354059471X |
Book Description
The book provides an elementary tutorial presentation on computational fluid dynamics (CFD), emphasizing the fundamentals and surveying a variety of solution techniques whose applications range from low speed incompressible flow to hypersonic flow. It is aimed at persons who have little or no experience in this field, both recent graduates as well as professional engineers, and will provide an insight to the philosophy and power of CFD, an understanding of the mathematical nature of the fluid dynamics equations, and a familiarity with various solution techniques. For the second edition the text has been revised and updated, and Chapter 9 has been completely rewritten. "... the book is highly recommended as an introduction for engineers, physicists and applied mathematicians to CFD."
Customer Reviews:
The Perfect Introductory Reference for any Bookshelf!.......1998-09-30
I have used this textbook at the Graduate level in pursuit of my M.Eng in Aerospace Engineering. It was a reference textbook for our "Finite Difference Methods in Computational Fluid Dynamics" course. It was invaluable! It provides a clear, comprehensive review of the Fluid Dynamic Equations including an excellent discussion of their mathematical properties. This is followed by a detailed development of the Finite Difference Method as applied to the computational solution of fluid dynamic problems. Included are discretization techniques, transformations and grids, stability analysis, and boundary layer solutions. Finally, the Finite Element Method is introduced and developed in detail. Although not directly applicable to my course, the FEM discussion layed in the ground work for further study. This book really is the perfect reference for both the undergraduate and graduate level CFD course.
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GLIM: An Introduction (Oxford Science Publications)
M. J. R. Healy
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Hardcover
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ASIN: 0198522134 |
Book Description
Linear modelling by least squares is one of the most basic statistical methods. It finds wide application in areas such as multiple regression, modelling of cross-classified data, probit analysis, and many others. The calculations involved in investigating the data often require computer
handling, and this book provides a thorough introduction to GLIM, one of the most widely available computer packages for this purpose. The book is intended to be an accessible guide, emphasizing the practical aspects of analysing complex data. Little previous statistical knowledge is assumed, and
with many illustrative examples it will make an ideal desktop companion for all those involved in the analysis of statistics, including students and researchers in medicine and agriculture, economics, social science, industry and commerce.
Book Description
This is a simple, concise book designed to be useful for beginners and to be kept as a reference. MATLAB is presently a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students. An instructor’s manual and other web resources are available.
Book Description
An absorbing look at the early beginnings of one of America's finest writers, The Mortgaged Heart is an important collection of Carson McCullers's work, including stories, essays, articles, poems, and her writing on writing. These pieces, written mostly before McCullers was nineteen, provide invaluable insight into her life and her gifts and growth as a writer. The collection also contains the working outline of "The Mute," which became her best-selling novel The Heart Is a Lonely Hunter. As new generations of readers continue to discover her work, Carson McCullers's celebrated place in American letters survives more surely than ever. Edited by McCullers's sister and with a new introduction by Joyce Carol Oates, The Mortgaged Heart will be an inspiration to writers young and old.
Customer Reviews:
Usual McCullers Style.......2000-04-22
Mortgaged Heart is yet another example of Carson McCullers theme of spiritual isolation. You can feel the pain of each character. If you like McCullers as much as I do this is a great one.
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The Mortgaged Heart
Manufacturer: Bantam Books
ProductGroup: Book
Binding: Mass Market Paperback
ASIN: B000HKVRPU |
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Mortgaged Heart
Carson McCullers
Manufacturer: Barrie & Jenkins
ProductGroup: Book
Binding: Hardcover
General
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| Literary
ASIN: 0214652726 |
Books:
- Statistical Physics and Dynamical Systems: Rigorous Results (Progress in Physics Vol 10)
- Statistical Physics and Dynamical Systems: Rigorous Results (Progress in Physics Vol 10)
- Superconductivity: Part 2 (In Two Parts) (Superconductivity)
- The Bomb in My Garden: The Secrets of Saddam's Nuclear Mastermind
- The Disney Treasures
- The Lightning Discharge
- The Mechanism Demands a Mysticism: An Exploration of Spirit Matter and Physics
- The Metal-Hydrogen System
- The New Banner Book
- The Number : A Completely Different Way to Think About the Rest of Your Life
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Statistics: An Introduction using R
Modern Applied Statistics with S
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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)
