Jumat, 28 Januari 2011

[T320.Ebook] Free Ebook Investigating Chemistry: Introductory Chemistry From A Forensic Science Perspective, by Matthew Johll

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Investigating Chemistry: Introductory Chemistry From A Forensic Science Perspective, by Matthew Johll

Investigating Chemistry: Introductory Chemistry From A Forensic Science Perspective, by Matthew Johll



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Investigating Chemistry: Introductory Chemistry From A Forensic Science Perspective, by Matthew Johll

"Introductory chemistry from a forensic science perspective"--Cover.

  • Sales Rank: #97748 in Books
  • Brand: Brand: W. H. Freeman
  • Published on: 2012-01-20
  • Fabric type: hard-back
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.19" h x .81" w x 8.16" l, 2.30 pounds
  • Binding: Hardcover
  • 512 pages
Features
  • Used Book in Good Condition

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0 of 0 people found the following review helpful.
Great Book
By ks
Really great comprehensive book. Now I wish I had bought it instead of renting it. It clearly covers everything and breaks chemistry down into very understandable sections.

0 of 0 people found the following review helpful.
Reading this book is torture
By Meghan
This is one of the worst textbooks I have ever been forced to use. Hard to read and doesn't explain anything very clearly. Hopefully the newer edition is better.

1 of 1 people found the following review helpful.
Five Stars
By EC
Love this book!

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Selasa, 11 Januari 2011

[Y273.Ebook] Free Ebook Cartography: Visualization of Spatial Data, by Menno-Jan Kraak, F.J. Ormeling

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Cartography: Visualization of Spatial Data, by Menno-Jan Kraak, F.J. Ormeling

This revised and updated edition integrates the latest in modern technology with traditional cartographic principles. While providing a solid conceptual foundation in cartographic methodology, the text also introduces the very latest advances that have greatly influenced cartographic techniques. The new edition reflects the increasing importance of cartography as the basis for further geographical study, the text has been updated throughout and chapters on the latest developments in cartography have been integrated. There is also a more widespread emphasis on multimedia and the web.

  • Sales Rank: #4106642 in Books
  • Published on: 2009-11-21
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.50" h x 7.25" w x .50" l, 1.14 pounds
  • Binding: Paperback
  • 216 pages

About the Author
Menno-Jan Kraak is professor in Geovisualization at ITC, The International Institute of Geo-information Sciences and Earth Observation in Enschede, The Netherlands. Ferjan Ormeling is professor in Cartography at the Faculty of Geographical Sciences at Utrecht University, The Netherlands.

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[N121.Ebook] PDF Ebook Data Analysis and Regression: A Second Course in Statistics, by Frederick Mosteller, John W. Tukey

PDF Ebook Data Analysis and Regression: A Second Course in Statistics, by Frederick Mosteller, John W. Tukey

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Data Analysis and Regression: A Second Course in Statistics, by Frederick Mosteller, John W. Tukey

Data Analysis and Regression: A Second Course in Statistics, by Frederick Mosteller, John W. Tukey



Data Analysis and Regression: A Second Course in Statistics, by Frederick Mosteller, John W. Tukey

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Data Analysis and Regression: A Second Course in Statistics, by Frederick Mosteller, John W. Tukey

Binding has slight discoloration. Rest of the text is flawless with crisp pages. Text is free of writing, marks, and highlighting. Hand inspected for quality and flaws.

  • Sales Rank: #757803 in Books
  • Published on: 1977-01-11
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.10" h x 1.30" w x 6.50" l, 2.00 pounds
  • Binding: Paperback
  • 588 pages

From the Back Cover
Two mainstreams intermingle in this treatment of practical statistics: (a) a sequence of philosophical attitudes the student needs for effective data analysis, and (b) a flow of useful and adaptable techniques that make it possible to put these attitudes to work.

Most helpful customer reviews

59 of 59 people found the following review helpful.
An old classic, outdated, but still with remarkable relevance to current practice!
By Alexander C. Zorach
This is an old classic that has become somewhat obsolete because of modern computers. It was written in a time-period where calculations and data analysis were done by hand. There are, however, many aspects of the philosophy and approach to data analysis and statistics communicated in this text that are quite deep, and that are, unfortunately, omitted from many modern texts.

In terms of what chapters are still worthwhile, I think chapter 1 is timeless, and chapter 2 is also quite useful (although it will strike many people as alien--and I think this is a testimony to one of the ways in which statistical practice and pedagogy has gone somewhat astray). Chapters 3-6 are more obsolete. The subsequent chapters are mixed, with certain material and methods obsolete, but the general presentation and underlying ideas quite useful.

I find the way this book presents regression to make a lot more sense than the way it is presented in more modern books. It is evident from reading this book that the authors actually stop to think about what they're doing and why they are doing it. They have what modern authors would call "skepticism" and what I would simply call common sense. Modern books simply present the most commonly accepted practice along with various diagnostics, in a cookbook fashion.

In many respects, I think that this book reflects an earlier era in which things moved at a slower pace and there was more of an emphasis on long-term thinking. Unfortunately, in the modern day-and-age of computers, statisticians have become sloppier than ever before, and this is certainly reflected in textbooks on data analysis and regression. Many are sloppily written and encourage the next generation of statisticians to be equally sloppy. This book will root you in a more disciplined way of doing things. You won't find pages of difficult equations, and you'll find no computer code...but you will find thoughtful prose that will make you think, and that will teach you how to think about your data so that you can ask the right questions and choose the appropriate techniques and interpret them properly.

Who should read this book? A better question is, who shouldn't read this book? I only wish I could find a more modern equivalent. As far as I know, there isn't one--and if there is, I certainly have not found it yet.

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