Showing posts with label Applied Statistics. Show all posts
Showing posts with label Applied Statistics. Show all posts

Friday, 22 June 2012

Elementary Statistics: Picturing the World, 5th Edition

Ron Larson, "Elementary Statistics: Picturing the World, 5th Edition" 
2012 | ISBN-10: 0321693620 | PDF | 786 pages | 15,8 MB


Elementary Statistics: Picturing the World, Fifth Edition, offers our most accessible approach to statistics—with more than 750 graphical displays that illustrate data, readers are able to visualize key statistical concepts immediately. Adhering to the philosophy that students learn best by doing, this book relies heavily on examples–25% of the examples and exercises are new for this edition. Larson and Farber continue to demonstrate that statistics is all around us and that it’s easy to understand.

Depositfiles

Tuesday, 28 February 2012

Introduction to Statistical Quality Control

Douglas C. Montgomery, "Introduction to Statistical Quality Control, 6th Edition"
Publisher: W.l.y | ISBN: 0470169923 | 2008 | PDF | 734 pages | 6 MB

The trusted guide to the statistical methods for quality control.

Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement.

With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.

You'll appreciate the significant updates in the Sixth Edition including:
* In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
* New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data.
* New developments in the area of measurement systems analysis
* New features of Minitab V15 incorporated into the text
* Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material


Saturday, 14 January 2012

Modern Engineering Statistics

Thomas P. Ryan, "Modern Engineering Statistics"
W..i.le..y-I.nt..ers..cie..n.ce | English | 2007-09-28 | ISBN: 0470081872 | 608 pages | PDF | 3.6 mb

An introductory perspective on statistical applications in the field of engineering

Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering.

With almost thirty years of teaching experience, many of which were spent teaching engineering statistics courses, the author has successfully developed a book that displays modern statistical techniques and provides effective tools for student use. This book features:

- Examples demonstrating the use of statistical thinking and methodology for practicing engineers
- A large number of chapter exercises that provide the opportunity for readers to solve engineering-related problems, often using real data sets
- Clear illustrations of the relationship between hypothesis tests and confidence intervals
- Extensive use of Minitab and JMP to illustrate statistical analyses

The book is written in an engaging style that interconnects and builds on discussions, examples, and methods as readers progress from chapter to chapter. The assumptions on which the methodology is based are stated and tested in applications. Each chapter concludes with a summary highlighting the key points that are needed in order to advance in the text, as well as a list of references for further reading. Certain chapters that contain more than a few methods also provide end-of-chapter guidelines on the proper selection and use of those methods. Bridging the gap between statistics education and real-world applications, Modern Engineering Statistics is ideal for either a one- or two-semester course in engineering statistics.


Friday, 25 November 2011

Applied Statistics - Principles and Examples


David Roxbee Cox, E. J. Snell - Applied Statistics - Principles and Examples
Publisher: S�ringer | 1981-09-03 | ISBN: 0412165708, 0412165600 | DJVU | 189 pages | 2.85 MB

This book should be of interest to senior undergraduate and postgraduate students of applied statistics.
The analyses of the examples are sufficiently detailed to provide good illustrations of both general principles and important specific techniques of analysis, yet are presented insuch a way that tge informed reader will want to try his own hand at extending the analysis of the data. This book should be read by anyone interested in statistical methods.
-J.F. Lawless, International Statistical Institute
I recommend anyone who teaches applied statistics at an advanced level to purchase this book.
-D. Williams, Biometrics