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In Learning from Experience, Paula Moya offers an alternative to some influential philosophical assumptions about identity and experience in contemporary literary theory. Arguing that the texts and lived experiences of subordinated people are rich sources of insight about our society, Moya presents a nuanced universalist justification for identity-based work in ethnic studies.

This strikingly original book provides eloquent analyses of such postmodernist feminists as Judith Butler, Donna Haraway, Norma Alarcón, and Chela Sandoval, and counters the assimilationist proposals of minority neoconservatives such as Shelby Steele and Richard Rodriguez. It advances realist proposals for multicultural education and offers an understanding of the interpretive power of Chicana feminists including Cherríe Moraga, Gloria Anzaldúa, and Helena María Viramontes. Learning from Experience enlarges our concept of identity and offers new ways to situate aspects of race, gender, class, and sexual orientation in discursive and sociopolitical contexts.

• Sales Rank: #1798611 in Books
• Published on: 2002-02-01
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x .70" w x 6.06" l, .90 pounds
• Binding: Paperback
• 247 pages

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• Published on: 1974
• Binding: Paperback

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This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random developments at financial markets, and they guide us in constructing more efficient algorithms.
 
To address these concepts, the title covers a wide variety of topics, many of which are not usually found in introductory textbooks, such as:
 
• limit theorems for sums of random variables
• martingales
• percolation
• Markov chains and electrical networks
• construction of stochastic processes
• Poisson point process and infinite divisibility
• large deviation principles and statistical physics
• Brownian motion
• stochastic integral and stochastic differential equations.

The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in probability theory. This second edition has been carefully extended and includes many new features. It contains updated figures (over 50), computer simulations and some difficult proofs have been made more accessible. A wealth of examples and more than 270 exercises as well as biographic details of key mathematicians support and enliven the presentation. It will be of use to students and researchers in mathematics and statistics in physics, computer science, economics and biology.

• Sales Rank: #137642 in Books
• Published on: 2013-08-30
• Original language: English
• Number of items: 1
• Dimensions: 9.10" h x 1.40" w x 6.10" l, 2.80 pounds
• Binding: Paperback
• 638 pages

Review

From the book reviews:

“The book is dedicated to graduate students who start to learn probability theory as well as to those who need an excellent reference book. … All results are presented in a self-contained way and are rigorously proved. Each section of the 26 chapters ends with a number of exercises, overall more than 270. … Altogether it is a very valuable book for all students who specialize in probability theory or statistics.” (Mathias Trabs, zbMATH, Vol. 1295, 2014)

“The book under review is a standard graduate textbook in this area of mathematics that collects various classical and modern topics in a friendly volume. … the book contains many exercises. It is a very good source for a course in probability theory for advanced undergraduates and first-year graduate students. … the book should be useful for a wide range of audiences, including students, instructors, and researchers from all branches of science who are dealing with random phenomena.” (Mehdi Hassani, MAA Reviews, May, 2014)

From the Back Cover

This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random developments at financial markets, and they guide us in constructing more efficient algorithms.
 
To address these concepts, the title covers a wide variety of topics, many of which are not usually found in introductory textbooks, such as:
 
• limit theorems for sums of random variables
• martingales
• percolation
• Markov chains and electrical networks
• construction of stochastic processes
• Poisson point process and infinite divisibility
• large deviation principles and statistical physics
• Brownian motion
• stochastic integral and stochastic differential equations.

The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in probability theory. This second edition has been carefully extended and includes many new features. It contains updated figures (over 50), computer simulations and some difficult proofs have been made more accessible. A wealth of examples and more than 270 exercises as well as biographic details of key mathematicians support and enliven the presentation. It will be of use to students and researchers in mathematics and statistics in physics, computer science, economics and biology.

Most helpful customer reviews

26 of 27 people found the following review helpful.
Amazingly well-done
By Christopher Grant
I taught a course in advanced probability out of the first half of Klenke's _Probability Theory_ during Fall 2009 at Brigham Young University, and I'm just starting to teach the follow-on course out of the second half. I am, therefore, thoroughly familiar with the first half of the book but admittedly only vaguely familiar with the second half. I've decided to go ahead and write a review now based on this incomplete information in order to help faculty who may be selecting a probability textbook now for the coming academic year.

In my opinion, this is an extraordinarily good textbook! I've taught classes out of some great books before (e.g., Rudin's _Real and Complex Analysis_, Jones' _Lebesgue Integration on Euclidean Space_, Abbott's _Understanding Analysis_) but I can't remember ever being as impressed with a textbook as I am with Klenke's. His logical arguments are amazingly precise and clear. Even little things like his choices of notation and fonts seem ideal. I think German is Klenke's native language, but his use of English in this book is not stilted at all. The book is mainly self-contained and, in particular, does measure theory from scratch. It was quite a revelation to me to see how clearly and concisely one could work up to Caratheodory's measure extension theorem.

Judging by the copies that appeared on the shelf of the campus bookstore this semester, Springer has not yet subjected Klenke's book to the print-on-demand treatment, so the printing is still nice and sharp. From the perspective of a mathematician and a book lover, _Probability Theory_ is a work of art, and it's been a genuine privilege to get to use it.

18 of 18 people found the following review helpful.
This could be a new Standard Reference for Probability Theory!
By Juan Miguel Montes
For a while I was trying to learn Probability Theory from Patrick Billingsley's textbook, which I believe is a standard in many universities (at least in our university that was the recommended reference). Until I was very lucky to stumble upon a copy of this book, very new release (2008 for the English version) at a book fair. I skimmed through it, looked for an Amazon review (there was only one at that time) and was easily convinced, from first impressions, so I bought the single copy at the book fair.

Now that I have read most of it, I think this book stands a good chance to become THE new, stand-alone, standard reference for probability theory (I would vote for it, if there was a poll). It has many wonderful qualities: very clear presentation - I thought the contents could have been ready-made for use as lecture notes, having a wonderful clarity. Quite comprehensive, many proofs are provided, which is perfect for self-learning, and the author gives sufficient hints whenever proofs are shortened.

I appreciate the sections on more fundamental topics such as measure theory, which to me was something new, and very useful. I like how the "pre-requisite" sections were clearly indicated but not all lumped in the beginning. For example, the review of topology, in anticipation of the section on product measure. Very compact, yet rigorous, treatment of regular conditional densities, the Radon-Nikodym derivative, the martingale theory, optional sampling etc. an introduction to stochastic calculus. Topics from applications also abound, and a couple of nice, anectdotal commentaries here and there.

The whole text strikes me as very "modern" and very very clear. To be honest, this has been my favorite book this past year.

If you are a graduate student who wishes to specialize in Probability, this may be a great starting point, to cover a rigorous study of the fundamentals. It does not cover some of the more advanced topics in detail (such as in Protter, Stochastic Integration). If on the other hand you are in a "hurry" to learn probability, perhaps other, shorter books maybe better for you, like Jacod and Protter's Probability Essentials, or Rosenthal's A First Look at Rigorous Probability Theory, both of which are also clear and excellent texts though not nearly as comprehensive like Klenke's.

15 of 16 people found the following review helpful.
Comprehensive introductory reference
By Linas Vepstas
I've only skimmed my library's copy, and so decided to buy it. While aimed at an undergrad level, it appears to be remarkably comprehensive. Although I was already familiar with most areas covered in the book, I'd only picked up my knowledge piecemeal, from many different, and disparate sources. Thus, I was pleasantly surprised to find all this info in just one place.

The book may strike some readers as "dense", and it does resemble a reference work. It is stuffed with precise definitions, reviewing all of the variants of a given definition, carefully making subtle distinctions. This may make it tough slogging for the beginner, but seems ideal for anyone who is already familiar with the subject, and wants to dig a little deeper, or to have a handy introductory reference.

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• Sales Rank: #5617861 in Books
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Start building your 3D model today with a comprehensive guide to SketchUp 2014

SketchUp 2014 For Dummies is a user-friendly guide to creating 3D models, adding textures, creating animated walkthroughs, and more, using one of the most popular 3D modeling programs on the market. Fully updated to align with the release of SketchUp, the book guides you through the interface, tools, techniques, and tricks in SketchUp and SketchUp Pro, on both Windows and Mac platforms. Written for designers with no prior 3D modeling experience, the book provides beginner- to intermediate-level instruction in this powerful program.

With a strong emphasis on usability rather than features, SketchUp has found widespread success around the world. Available as a free download, the program allows you to get comfortable and develop your skills before investing in the Pro version's additional features. SketchUp 2014 For Dummies gets you up to speed fast, beginning with an overview of the basic concepts of 3D modeling before getting down to business with the software. Organized for easy navigation, the book can also serve as a handy desk reference for more experienced designers getting acquainted with the latest update. Topics include:

• Using SketchUp 2014 to create 3D models
• Printing on a plotter or 3D printer
• Sharing designs via SketchUp 3D Warehouse
• Exporting to another design package

The book also walks you through the creation of a detailed set of plans, and demonstrates how to give virtual "tours" of your design. A 16-page color insert illustrates the possibilities, and may just trigger your inspiration. Whether you're a designer, architect, engineer, or hobbyist, SketchUp 2014 For Dummies gets you started quickly.

• Sales Rank: #65177 in Books
• Published on: 2014-06-23
• Original language: English
• Number of items: 1
• Dimensions: 9.30" h x 1.00" w x 7.40" l, 1.67 pounds
• Binding: Paperback
• 504 pages

From the Back Cover

Learn to:

• Harness the power of the latest SketchUp and SketchUp Pro features
• Produce professional-quality 3D models and designs
• Develop compelling presentations to showcase your work
• Create accurate 3D models that you can print with a 3D printer

Bring your ideas to life in brilliant 3D!

With this easy-to-use guide, you can begin creating professional-looking models right away — no modeling experience necessary! Whether you’re working from your imagination or a floor plan, find out the best way to get started and transform simple lines and faces into a 3D model that you can print, share, and explore inside and out!

• Know your tools — discover how SketchUp compares to other modelling programs and learn insider tips for using SketchUp’s tools
• Piece by piece — add walls, doors, windows, additional floors, stairs, and even a roof that you can remove to reveal a building’s interior
• Stay organized — copy and space elements easily, group related elements, and nest groups within groups
• Find a look — switch among preset styles, from sketchy edges to polished lines, and add materials such as brick, wood, or paint
• Show off — share your model as an image, let others find it in the 3D Warehouse, or assemble a 3D-printable model

Open the book and find:

• A complete introduction to SketchUp and a quick tour
• Tips on making quick models, adding styles, and more
• How to draw floors, walls, and roofs
• Tricks to adding premade doors, windows, and furniture
• How to create a 3D printable model from SketchUp
• Tips on making and modifying terrain
• How to create a realistic light and shadow study
• Details of starting from a 2D CAD file

About the Author

Aidan Chopra is the author of the SketchUpdate, an irreverent but informative monthly e-newsletter that reaches hundreds of thousands of SketchUp users around the world. He has been teaching people about computers and design software since discovering SketchUp in architecture school.

Most helpful customer reviews

14 of 14 people found the following review helpful.
Worthy successor to the Sketchup 8 edition
By Christopher T. Dahle
I bought Sketchup 8 for Dummies in paperback a couple of years ago and keep it in my class room for my students to reference. It got me started with Sketchup, but then I had other things to do and didn't finish.

A couple of weeks ago, on an extended business trip, I had some down time and decided to spend it dinking around with Sketchup. Sketchup is pretty easy to learn, but like anything, you have to use it regularly or you just don't remember what you've learned. Since I didn't have the old paperback handy, I sprang for this in Kindle format. I'm pretty happy with the book. It got me back up to speed within an hour or so and by reading through the book I remembered to try, and then to more regularly use a number of techniques that make my use of the program faster and more fluent.

8 of 8 people found the following review helpful.
Excellent Tool, Bravo Aidan!
By gregg hammond
This book is an excellent tool. I am a professional Designer/ Draftsman. I graduated from HS prior to the PC era and was getting by hand-drawing until last year when I decided that now was the time to learn computer drafting. I self taught myself SketchUp and Layout and am producing beautiful working drawings and this book helped me and still does help me immensely. I have looked at and own several other manuals but this is the one I go to 99% of the time because it is so well put together and easy to navigate. Thank you Aiden Chopra! ... I am not sure I could have done it without your most excellent book.
Sincerely, Gregg Hammond, Yucca Valley. Ca.

7 of 8 people found the following review helpful.
totes mcgotes
By Jeremy M.
Not much to say, it's a good tutorial that someone starting out with sketchup should own. I'm glad I bought it.

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• Sales Rank: #7213 in Books
• Published on: 2016-05-03
• Released on: 2016-05-03
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x .20" w x 6.00" l, .81 pounds
• Binding: Paperback
• 24 pages

Most helpful customer reviews

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