More Pages: Andrew Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100


Totally heart moving book on the loss of a child
From the heart...I had purchased a copy, and read it in one sitting ( highly recommended) on a trans-continental airline flight. My seat mate kept stealing glances over my shoulder, to find out what I was reading that kept me reaching for my handkerchief, and weeping profusely at times.
Subsequently, I have encountered numerous parents who have lost their children in some accident or tragedy, and I never hesitate to recommend this book to them. Shelly Wagner has given us a phenomenal tool for grief counseling. Read it, and see if there is not someone for whom it is appropriate. This volume belongs in the library of every compassionate human being on the planet.
Capt. Chris Siegel Beaufort, NC seagull@myexcel.com
Beautiful

Salinger for kidsWhen in my twenties, I read Salinger's "Catcher in the Rye." A few pages into it, I said "HEY!" Holden Caulfield's voice is almost exactly the same as Andrew Kellogg's. Barbara Brooks Wallace cannot convince me she was not inspired by Salinger.
This book is truly a "Big Deal"
Great early teen reading!

My daughter can't stop laughing
Andrew's Bath - The Ultimate Bedtime, Bathtime, Anytime Book
Pure Delight

Required reading for derm residents!
A must for your dermatology library!
a must for dermatology residents...

Archie Rules!The five main ones are:
Archie Andrews(of course)-a nice, girl-crazy, well-meaning, but VERY clumsy all around American boy who is in love with two girls (Betty and Veronica)
Betty Cooper- a too nice, typical girl next door girl who loves Archie with all her heart. her best friend and worst rival is Veronica
Veronica Lodge- snotty, daddy's little rich girl whos father is a zillionaire! but underneath it all, she has a heart of gold. she loves Archie some of the time, but also uses him as a puppet.
Reggie Mantle- richer than Archie and Betty, but not a millionaire or anything. he flaunts his new cars and stuff in people's faces. REALLY REALLY conceited and in love with himself (also Veronica) the trickster of the gang
Jughead (real name Forsythe) Jones- eats too much, sleeps too much, really lazy, girl-hater. the best friend of Archie, Jughead is really a real great guy. He may look like a slug, but he's really one of the nicest guys in the world
other characters include:
Moose Mason: very strong, very jealous
Midge Klump: Moose's girlfriend, nice, smart
Dilton Doiley: a genious, but short which causes girl problem
Big Ethel: in love with Jughead
Hiram Lodge: Veronca's father, hates Archie
Waldo Weatherbee: principal of the high school, has the same problems with Archie as Mr. Lodge
and many more, but it would take FOREVER to write them all out!
Put them all together, and you get CHAOS!!!!!!! These comics are prettily drawn (and in color). If you buy one of these, you'll be hooked for life! (Hey, they've been running since the 40s! People MUST like them!) I personally would give them 5000000 stars! Buy them and you won't regret it.
Read these!p.s. sorry if this doesn't really describe the comics. it's kinda hard to explain, ya see.
archie!archie!

Excellent ! An honest, insightful examination into love
Wow! Transforms your whole attitude toward life!
A wonderful, straight forward coach for growing with life.

Awesome!
Insanely good
If You're Sick of Average Sappy Love Story, Read This Book!

Likely the best survey book on applied Bayesian theoryThis book was the textbook used at the University of Wisconsin-Madison for the graduate course in Bayesian Decision and Control I during the fall of 2001 and 2002. It strikes a good balance between theory and practical example, making it ideal for a first course in Bayesian theory at an intermediate-advanced graduate level. Its emphasis is on Bayesian modeling and to some degree computation.
Prerequisites
While no Bayesian theory is assumed, it is assumed that the reader has a background in mathematical statistics, probability and continuous multi-variate distributions at a beginning or intermediate graduate level. The mathematics used in the book is basic probability and statistics, elementary calculus and linear algebra.
Intended audience
This book is primarily for graduate students, statisticians and applied researchers who wish to learn Bayesian methods as opposed to the more classical frequentist methods.
Material covered
It covers the fundamentals starting from first principles, single-parameter models, multi-parameter models, large sample inference, hierarchical models, model checking and sensitivity analysis, study design, regression models, generalized linear models, mixture models and models for missing data. In addition it covers posterior simulation and integration using rejection sampling and importance sampling. There is one chapter on Markov chain simulation (MCMC) covering the generalized Metropolis algorithm and the Gibbs sampler.
Over 38 models are covered, 33 detailed examples from a wide range of fields (especially biostatistics). Each of the 18 chapter has a bibliographic note at the end. There are two appendixes: A) a very helpful list of standard probability distributions and B) outline of proofs of asymptotic theorems.
Sixteen of the 18 chapters end with a set of exercises that range from easy to quite difficult. Most of the students in my fall 2001 class used the statistical language R to do the exercises.
The book's emphasis is on applied Bayesian analysis. There are no heavy advanced proofs in the book. While the proofs of the basic algorithms are covered there are no algorithms written in pseudo code...Additional books of related interest
1) Statistical Decision Theory and Bayesian Analysis, James Berger, second edition. Emphasis on decision theory and more difficult to follow than Gelman's book. Covers empirical and hierarchical Bayes analysis. More philosophical challenging than Gelman's book.
2) Monte Carlo Statistical Methods, Robert and Casella. Very mathematically oriented book. Does a good job of covering MCMC.
3) Monte Carlo Methods in Bayesian Computation, Ming-Hui Chen, Qi-Man Shao, Joseph George Ibrahim. An enormous number of algorithms related to MCMC not covered elsewhere. If you need MCMC and need an algorithm to implement MCMC this is the book to read.
4) Monte Carlo Strategies in Scientific Computing, Jun S. Liu. Covers a wide range of scientific disciplines and how Monte Carlo methods can be used to solve real world problems. Includes hot topics such as bioinformatics. Very concise. Well written, but requires effort to understand as so many different topics are covered. This book is my most often borrowed book on Monte Carlo methods. Jun S. Liu is a big gun at Harvard.
5) Probabilistic Networks and Expert Systems. Cowell, Dawid, Lauritzen, Spiegelhalter. Covers the theory and methodology of building Bayesian networks (probabilistic networks).
good treatment of modern Baysian methodsAnother text in the CRC series Markov Chain Monte Carlo in Practice by Gilks, Richardson and Spiegelhalter provides more detail on these methods along with many applications including some Bayesian ones.
Review by a user of the book and colleague of an authorThis book's biggest strength is its introduction of most of the important ideas in Bayesian statistics through well-chosen examples. These are examples are not contrived: many of them came up in research by the authors over the past several years. Most examples follow a logical progression that was probably used in the original research: a simple model is fit to data; then areas of model mis-fit are sought, and a revised model is used to address them. This brings up another strength of the book: the discussion and treatment of measures of model fit (and sensitivity of inferences) is lucid and enlightening.
Some readers may wish the computational methods were spelled out more fully: this book will help you choose an appropriate statistical model, and the ways to look for serious violations of it, but it will take a bit of work to convert the ideas into computational algorithms. This is not to say that the computational methods aren't discussed, merely that many of the details are left to the reader. The reader expecting pseudo-code programs will be disappointed.
All in all, I recommend this book for anyone who applies statistical models to data, whether those models are Bayesian or not. I especially recommend it for researchers who are curious about Bayesian methods but do not see the point of them---Chapter 5, and particularly section 5.5 (an example chosen from educational testing), beautifully addresses this issue.


It really helped!!
Great book for newbies!!Infact, this book manages to provide solutions to the large number of problems that newbie PHP programmers post on sites like phpbeginners.com,php.net and phpbuilder.
The approach to presenting a database agnostic solution, through the use of the most recommended PEAR::DB abstraction layer (i even found documentation about PEAR::DB, that i had spent ages figuring out for myself) sets this book in a class of its own.
The typos and grammar stand out at places, but who cares when you have gotten what you wanted.
I highly recommend this book to the BEGINNING/NEWBIE PHP Programmer.
Great!One pleasant surprise was that no one particular database is favored; in fact use of the database abstraction layer in PEAR is encouraged for code portability. I am encouraged by the use of PEAR in this book, as it can only help to bring the community together in its use and promote PEAR as a standard of sorts. The PEAR database abstraction layer is picked apart so that you may understand exactly how it works and be that much more efficient with using it.
At the end of this book, it offers two chapters dedicated to designing and implementing applications using a native XML database. The first of the two chapters concentrates on the fundamentals of native XML databases; what they are and how they work. The second chapter then presents a case study using Xindice.
I found this book to be very thorough and well put together. Cheers to Wrox for another fine book!


A diverse, well-represented collection
Terrific (and buy 2001 too)
A great, entertaining and thought provoking read...With stories ranging from the rise, fall and re-rise of fashion designer Tommy Hilfiger to a joyous piece on Ron Popeil of quirky gadget-maker (and those accompanying infomercials) Ronco fame to an amazing tome on emerging "digital paper" technology that has to be read to be fully appreciated, this book covered a myriad of topics that I probably would not have gone out of my way to track down, but having read about them in this book, my appetite to read on has only been whetted.
If you are looking to expand your horizons beyond the two or three topics that currently represent your comfort zone, this book is an easy and enjoyable way to dip your toes in the water.
Strongly recommended.
I have lost two children in the past 6 years, and Shelly writes what I feel. "Get out of the box....Ben and Matthew."