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Amer Assn of State Hwy, "Standard Specifications for Transportation Materials and Methods of Sampling and Testing (33 edition) "
2013 | ISBN-10: 1560515651 | 3700 pages | PDF | 355 MB

 
 
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George Lindfield, John Penny, "Numerical Methods, Third Edition: Using MATLAB"
English | ISBN: 0123869420 | 2012 | PDF | 552 pages | 6 MB

Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.
 
 
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Pattern Recognition and Machine Learning: Solutions Exercises
Sðringår Science+Business Media | 2006 | ISBN: 0387310732 0387310738 | 101 pages | PDF | 11 MB

Example solutions for a subset of the exercises are available from the book. This issue is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.
 
 
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George Lindfield, John Penny, "Numerical Methods, Third Edition: Using MATLAB"
English | ISBN: 0123869420 | 2012 | PDF | 552 pages | 6 MB

Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.
 
 
http://i49.fastpic.ru/big/2013/0730/f6/c3e2eea23c5474a245324b5701aa5ef6.jpg
George Lindfield, John Penny, "Numerical Methods, Third Edition: Using MATLAB"
English | ISBN: 0123869420 | 2012 | PDF | 552 pages | 6 MB

Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.
 
 
Human Airway Inflammation: Sampling Techniques and Analytical Protocols

Human Airway Inflammation: Sampling Techniques and Analytical Protocols
English | 440 pages | ISBN-10: 0896039234 | PDF | 3.54 Mb

 
 
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Sampling and Sample Preparation: Practical Guide for Analytical Chemists
By Markus Stoeppler
1997 | 216 Pages | ISBN: 3642644864 | PDF | 32 MB
 
 
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Solutions Manual for Actuarial Mathematics for Life Contingent Risks By David C. M. Dickson, Mary R. Hardy, Howard R. Waters
2012 | 177 Pages | ISBN: 1107608449 | PDF | 2 MB

 
 
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Methods of Multivariate Analysis
English | 2012 | ISBN: 0470178965 | 800 pages | PDF | 16 MB

Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations.
 
 
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Statistics: Principles and Methods
English | 1987 | ISBN: 0471850756 | 594 pages | scan PDF | 47,6 MB
 
 
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Introduction to Robust Estimation and Hypothesis Testing, Third Edition
English | 608 pages | ISBN-10: 0123869838 | PDF | 5.09 MB


This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations.
 
 
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Introduction to Robust Estimation and Hypothesis Testing, Third Edition
English | 608 pages | ISBN-10: 0123869838 | PDF | 5.09 MB


This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations.
 
 
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Student Solutions Manual for McMurry's Organic Chemistry, 8th edition
English | 2011 | 928 Pages | ISBN: 0840054459 | scanned PDF | 198 MB


Study more effectively and improve your performance at exam time with this comprehensive guide! Written by Susan McMurry, the Study Guide and Solutions Manual provide answers and explanations to all in-text and end-of-chapter exercises. Content has been updated to match the new in-text and end-of-chapter exercises.
 
 
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Introduction to Robust Estimation and Hypothesis Testing, Third Edition
English | 608 pages | ISBN-10: 0123869838 | PDF | 5.09 MB

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations.
 

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