Explains a variety of methods to extract information from data
Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results. Explains a variety of methods to extract information from data. Describes the application of statistical methods to the design of performance chemicals. Emphasises the application of statistical techniques and the interpretation of their results.
David J. Livingstone. Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. Covering the most common statistical methods for examining and exploring relationships in data, the text includes extensive examples from a variety of scientific disciplines.
First Online: 17 June 2010. Open image in new window.
A Practical Guide to Scie. has been added to your Cart. Inspired by the author's need for practical guidance in theprocesses of data analysis, A Practical Guide to Scientific DataAnalysis has been written as a statistical companion for theworking scientist. This handbook of data analysis with workedexamples focuses on the application of mathematical and s and the interpretation of their results. Covering the most common statistical methods for examining andexploring relationships in data, the text includes extensiveexamples from a variety of scientific disciplines.
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This handbook of data analysis with worked examples focuses on the application of mathematical and statistical .
This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results.
A Practical Guide to Scientific Data Analysis. 3D QSAR data analysis typically deals with large numbers of descriptors and various methods have been used to cope with this multivariate problem. One popular method, CoMFA, makes use of Partial Least Squares (PLS) regression. Alternative methods of data analysis to PLS have been explored including artificial neural networks (ANN).
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A Practical Guide to Scientific Data Analysis David Livingstone ChemQuest, Sandown, Isle of Wight . However, I feel that there isn’t a book which gives a practical guide for scientists to the processes of data analysis.
A Practical Guide to Scientific Data Analysis David Livingstone ChemQuest, Sandown, Isle of Wight, UK. A John Wiley and Sons, Lt. Publication. A Practical Guide to Scientific Data Analysis David Livingstone ChemQuest, Sandown, Isle of Wight, UK.