Modeling

I am disappointed in the actual code commentary, it does NOT do a good job of explaining the code. Most of the time the commentary does nothing more than tell you what a function does - and it is obvious from the name anyway. Apache has a lot of standard programming conventions and internal libraries. I think those should have been covered first and in depth. It would make the Apache source code much more understandable. I read through the first chapter or so of Linux Core Commentary and it seems much more well written.

i bought the book to underdtand how apache worked interanlly. the book does a good job of that. however the the code commentry is pretty disjointed. the compilers have done a excellent job of putting together this. we should see more of such types.

Good job explaining the server code.

This is not a book one simply reads. It does for business rules what Ted Codd's 'Relational Model Version 2' did for data management: details an incredibly complete and robust foundation for an entirely new discipline, but possibly little else. Ross does a fair job of suggesting why the new discipline is important, but doesn't prepare the reader for (what I found to be) an entirely new and foreign language. With over 10 years of data modeling experience, I am still unable to decipher his definitions of data type and entity. And in spite of a half-dozen commonly used notations for ERDs, I think Ross manages to introduce yet another one.

By page 16 I felt completely overwhelmed, with no sense of what problem was being solved with, for example, the Table of Atomic Rule Types (even though it's clearly pretty cool), and no sense of how rules would be used after they were so carefully captured, identified, classified, and normalized. My mental picture was the specter of pouring 1000s of labor hours into building a taxonomically-correct butterfly collection, and proclaiming, "Here are the rules of your business. I know all their names and I've organized them properly." With a data admin background, I have less of a problem doing the very same thing with data...but I know conceptually how my work can be implemented and utility achieved. Not so with this material.

My biggest disappointment: the book doesn't provide a conceptual architectural implementation. Without some foundation portrayed in architectural components (e.g., a rulebase and its possible structure, a rulebase management system, rule interpreter or rule object broker, etc.) there's little motivation to move forward.

Again, like Codd's RM Version 2, Ross's work seems to be very 'important' and very intellectually appealing. But, it too leaves me with the feeling of, "So what"? On the other hand, Ross's own presentations and those of other business rule proponents leave me with no doubt about the soundness and potential of the overall approach--it could be a huge IT breakthrough. Unfortunately, this book did nothing at all to help me understand how that breakthrough might be possible, or how the effort to capture rules could be practically applied to solve business problems.

As designs for middleware software layers increase with the arrival of Web Services, a crucial question arises about how to enforce server side business rules while executing well-formed transactions. In "What, Not How," C.J. Date gives examples of how to support transactions declaratively.

Unfortunately, most commercial off the shelf software does not allow for such possibilities, which necessitates the need for procedural enforcement of business rules through the use of properly designed triggers and stored procedures. The tome from Donald Ross gives a formal methodology for the enforcement of such business rules in the design of a software application.

It lists eight categories of business rules which can be created in an Object/Relational environment. These can be used to provide an integrated approach to transactions for the application to be developed. He provides a formal graphic set of design tools which can be used to address these procedurally on data.

The author provides hundreds of examples of business rules in the designated categories. It should prove a valuable reference for integrated application design for all concerned architects, developers, and subject matter experts.

CASE tools with code generators have attacked the problem of requirements specification in a piecemeal manner. This has led to significant (and unpredictable) gaps in the ability to generate useable code from the specifications.

Ronald Ross presents what could best be described as a unified field theory to explain how to define business rules. His generic way to define precise and unambiguous rules (and in a graphical manner!) lays the cornerstone for truly significant CASE tool breakthroughs in capability.

Like Das Kapital by Karl Marx, this is a long book, it's full of powerful insights that can change the face of analysis as we know it; and it can best be described as tediously brilliant. If you are looking for an analytical razor to hone your specification skills, this is well worth slogging through!

This is the first of the "dummies" books that I've used, and probably the last. The author introduces a lot of jargon and complicated models early on and then proceeds to use terms interchangably, leave models abstract that would have benefited from metaphors, and produces examples that he fails to adequately explain. When things become complicated, he demures, reminding the reader that this is, after all, only an introduction.

Perhaps I would have put my inability to use this book up to my own inadequacy when it comes to things technical, but after reading Michael Hernandez's Database Design for Mere Mortals I realized that the dummies' book was needlessly technical and theoretical.

This book has a wealth of information. The author does a great job at passing his knowledge on to the reader. You'll learn even more than you expected.

build your databases intelligently. The author takes the reader through all the considerations that a database developer must deal with in making a stable environment for holding information.

This is the most useless book on the topic of EMC that I have ever read. This book merely informs the reader of the various analytical techniques and informs the reader of what techniques to use to solve various EMC problems. A great portion of the book is spent on convincing the reader on the benefits of the various computational techniques. However, the book does not show how to implement the techniques. It preaches to the quire, since only engineers that are already in the field would buy the book. It does not provide a single worked out example or even provide the theory on how to implement the computational techniques. I would highly discourage anyone from buying this book.

this book can help engineers get started with modeling for EMC
it is not an EMC design book, and it needs to be used by
people with some amount of intelligence. it will not hold your hand, but it WILL give you the information needed to be an engineer.

the previous reviewer was obviously looking for a cookbook, and this is a very dangerous topic to use as a cook book. I, for one, am glad that the authors provided the information in a way that allows me to be the engineer, and not simply follow blindly.

I recommend this book to any ENGINEER who can think, and wants to know more about EMC modeling and simulation

this book is a great help to get started in using modeling tools. I find all the major techniques explained in one place, instead of needing to get 5 different books!

the help to get started in creating models from the complex products was especially helpful.

the explaination about validating the models without needing to do measurements for everything was useful and allowed me to get started right away!

this is a unique book, in my experience. I highly recommend it to anyone who wants to know about the various modeling techniques, and works in the real world

Geostatistics is a fatally flawed variant of applied statistics because it violates the fundamental requirement of functional independence and ignores the concept of degrees of freedom. Without degrees of freedom unbiased statistical inferences are impossible to obtain.

Highly recommended! This is easily the most comprehensive, scholarly, and up-to-date work in the area.

The authors cover the entire range of geostatistics - structural analysis (variogram fitting), kriging, multivariate and nonlinear methods, conditional simulation, scale effects, and inverse problems. The chapter on geostatistical simulation is particularly impressive, and much unpublished work of Georges Matheron and the Center for Geostatistics at Fontainebleau, France, is made available here for the first time. Practical and theoretical aspects of geostatistics balance each other very nicely.

This is not an introductory text - there are other books in the area which are custom-tailored to beginners - but it is an invaluable, and very carefully written, reference. For anyone applying geostatistical techniques in environmental sciences, earth sciences, engineering, or related fields, this book is a must-have!

There are a large number of books on geostatistics, usually introductory books dealing with parts of the subject. The volume by Chiles and Delfiner is THE comprehensive reference book in geostatistics that has been missing up to now.

It covers every part of geostatistics. After a useful introduction and preliminaries, different chapters are devoted successively to structural analysis, kriging, the intrinsic model of order k, multivariate methods, nonlinear methods, conditional simulations, scale effects and inverse problems.

Within each section, the book offers an accurate perspective of the different geostatistical methods. Practical approaches as well as theoretical developments are jointly considered, providing a sound basis to the user.

The writing is fluent, with an extensive documentation and a most helpful index.

The book will benefit those who want to know more about a specific method, as well as those who are looking for different approaches to a given problem. It will be valuable for academics and students, as well as scientists, engineers and practitioners from different domains such as mining, hydrogeology, oil exploration, soil science, forestry, and environmental sciences.

i want to books for visual basic. so i like to read the visual basic5 , so i select the book vb5

Great book! It helped me to get a free Internet connection without any advertising on the page. Thanks a lot!!!

This is the best book I have ever red about Internet programming. It has a lot of ideas to think about. Gives you idea to what you are capable on the Net and shows things, which you will not find in many other books, which usually specialize on one theme. Excellent source for the state of the art programming techniques on the Web. Consider some topics: Web robots, CGI programming, ActiveX for Web, programs that analyze info which your robot gets, cookies implementation and many others.

I used this book as the text for a biostatistics class that used STATA as the statistitical package. I found the organization, problems, and the STATA output the book provides, all very helpful. In addition, as I moved systematically through the book, the tips regarding using the STATA features were key to my learning many of the practical aspects of the STATA program.

I have had the pleasure of using this book during a biostatistics level two course this year. The book is structured to assist in the course work in statistics using STATA. It is user friendly and gives mathematical explanations when appropriate but without losing the reader with too many equations. The book's approach uses problem based learning along with explanatory text which I found essential in learning to navigate STATA along with learning and understanding logistic regression, poisson regression etc. The best aspect of the book is the STATA output to assist with the problem solving. The book is a very good choice as an interactive tool for understanding advanced statistics using STATA.

As a non-statistician with some stat background, I find Dupont book a delightful book. It is packed with interesting and useful information. It starts at t-test and ends with GEE models, covering Cox model with time covariates along the way. But as the author noted, the book assumes some statistical knowledge and access to STATA maual. One minor note: While the book introduction asserts that it only assumes "high school mathematics" knowldege, the high school the author attended must be very different than the one I went to.

I haven't read this calculus text, but based on the quality of the last review (and in consideration of who the reviewer claims to be), I've got two words for ya: "STAY AWAY!"

We are currently using this text in a graduate course in Mathematics & Modeling. We are completing the first chapter in Modeling Change. Some of the definitions are vague. The examples are good; although, I would like to have seen more. Exercises are good--prehaps add more "warm-up" exercises. The sidebar items relating to the corresponding use of the TI-89 is good, but the cooresponding variables between this and the text is confusing to some degree.

This is a new calculus text that incorporates: - computer algebra (TI-89/92/92+), - cooperative learning, - group work, - reading mathematics, (I'm one of the author's so I'm biased.)

I was really hoping this book would be THE E2K BOOK! I was wrong: poorly written, really weird chapter structure (actual installation of E2K is reviewed in Chapter 6!!), thoughts are not clearly expressed and important details are missed out. Will work as a quick reference (partly) but you will want to buy at least another book on the subject. Too bad tech-for-tech approach didn't work this time. I'll wait until O'Reily comes up with one.

Book is pretty good, but it offers a free DVD (after 6 month update), a Palm version (not really available on their web site), and free MP3's from the author to listen to while commuting (also nor really available on their web site). I feel cheated, as the front and back of the book promise all these freebies, but in reality, Syngress doesn't follow through... Be warned

This was the only book that did a really good job of explaining how to install and configure Exchange with Active Directory. No easy task. I thought it was a straight forward presentation

Incredibly poorly written book. This is NOT a general introduction to M&S. A more appropriate title for this book would be "A Course in Biological Modeling". If you are looking for an introduction to numerous biological modeling systems then this is your book. If you want a book that overviews the wonderfully complex world of modeling then look elsewhere. (I'm still looking - any help out there). Point is that modeling is much more than understanding birth and death rates of Sand Hill Cranes. Modeling encompasses all fields of Engineering and Physics of which this book hardly mentions. (As you may detect I am particularly annoyed about the misleading title of this book. )
Also, take the authors math expectation in the forward seriously. Make sure you math skills are current before tackling this book. There is a lot of assumption and little equation development. If your skills are rusty you'll find yourself frequently bewildered by how they got from A to B.
I am completing a class on M&S using this book and I can honestly say that I do not know of one student in a class of 25 that is happy with this text.

This is a highly recommended book for those who wish to learn the art of mathematical modeling from scratch. The examples used to illustrate important ideas and concepts in mathematical modeling range from simple to relatively advanced. I would rate a book on mathematical modeling, especially an introductory one (for beginners), as highly recommended, if it emphasizes more on how to use mathematics to obtain answers to practical questions rather than on techniques and tricks to solve equations (even though these equations may have some connection with practical problems).

To break it down.

1. The authors write with a clarity and elegance that is almost universally absent in math/science texts. The book is beautifully paced. Anybody thinking about writing a technical book would do well to read this before starting out.

2. The mathematics is second to the modelling. They move from simple examples towards the formal mathematics, nothing is introduced without explanation. This is a vast improvement over so many other texts that are happy to derive the math first and then show an example, which is no way to engage the mind. It is the only text I have come across that presents differential equations and continuous stochastic processes in a palatable manner.

3. The exercises have been well thought out, and not just thrown in at the end of each chapter, reflecting the authors' teaching experience, and leave you with any number of directions in which to take your own steps in modelling.

It is simply one of the best written and engaging technical books I have read this or any other year. This books shows that one can write clearly about mathematics. If you really want to understand and ground yourself in math modelling and simulation, this is where to start.