Random Data: Analysis And Measurement Procedures

Random Data: Analysis and Measurement Procedures, 4th Edition (repost)

Random Data: Analysis and Measurement Procedures, 4th Edition by by Julius S. Bendat and Allan G. Piersol
English | ISBN: 0470248777 | 2010 | 640 pages | PDF | 10 MB

A timely update of the classic book on the theory and application of random data analysis First published in 1971, Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications.
Random Data: Analysis and Measurement Procedures, 4th Edition

Julius S. Bendat, Allan G. Piersol, "Random Data: Analysis and Measurement Procedures, 4th Edition"
English | ISBN: 0470248777 | 2010 | 640 pages | PDF | 10 MB

JavaScript and jQuery for Data Analysis and Visualization  eBooks & eLearning

Posted by Underaglassmoon at Oct. 29, 2016
JavaScript and jQuery for Data Analysis and Visualization

JavaScript and jQuery for Data Analysis and Visualization
WROX | JavaScript | Dec 3 2014 | ISBN-10: 1118847067 | 480 pages | pdf | 22.83 mb

by Jon Raasch (Author), Graham Murray (Author), Vadim Ogievetsky (Author), Joseph Lowery (Author)
Noise and Vibration Analysis: Signal Analysis and Experimental Procedures (repost)

Noise and Vibration Analysis: Signal Analysis and Experimental Procedures
by Anders Brandt
English | 2011 | ISBN: 0470746440 | 464 pages | PDF | 10.48 MB
Field Guide to Probability, Random Processes, and Random Data Analysis

arry C. Andrews and Ronald L. Phillips, "Field Guide to Probability, Random Processes, and Random Data Analysis"
English | ISBN: 0819487015 | 2012 | 108 pages | PDF | 3 MB
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (repost)

Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition by Patrick F. Dunn
English | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis.
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (Repost)

Patrick F. Dunn, "Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition"
English | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (repost)

Patrick F. Dunn, "Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition"
English | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (repost)

Patrick F. Dunn, "Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition"
C R C | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Using SPSS for Windows: Data Analysis and Graphics, 2nd Edition  eBooks & eLearning

Posted by spiderman at Sept. 1, 2006
Using SPSS for Windows: Data Analysis and Graphics, 2nd Edition

Susan B. Gerber, Kristin Voelkl Finn, Ā«Using SPSS for Windows: Data Analysis and Graphics, 2nd EditionĀ»
Springer | ISBN 0387400834 | 2nd Edition - March 2005 | PDF | 228 Pages | 2,02 Mb

The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability.