Statistical Analysis Methods for Chemists: a Software-based Approach
Many forms of chemical experimentation generate data needing analysis and interpretation in respect of the goals of the experiment and also the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess the information obtained from experiments. Statistical Analysis Methods for Chemists: A Software-based Approach aims to give a broad introduction to practical data analysis, and provides comprehensive coverage of basi…
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- Full title :Statistical Analysis Methods for Chemists : a Software-based Approach / William P. Gardiner.
Summary
Many forms of chemical experimentation generate data needing analysis and interpretation in respect of the goals of the experiment and also the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess the information obtained from experiments. Statistical Analysis Methods for Chemists: A Software-based Approach aims to give a broad introduction to practical data analysis, and provides comprehensive coverage of basic statistical principles and reasoning. With practical examples, and integration of software output as the basis of data analysis, this useful book gives unique coverage of the statistical skills and techniques required in modern chemical experimentation.
Read More ↓Edition Statements
- Publication Date:1997.
Publication Statements
- Publisher(s):Royal Society of Chemistry
- Place of Publication:Cambridge
- Language:eng
- Publication Date:1997.
Notes
Book.
The Physical Object
- Description:online resource (xx, 368 s.) : : diagram, table
Edition Identifiers
- ISBN:9781847551924, 1847551920
- oclc:on1001575569
- Dewey Decimal:540.727
Table of Contents
Introduction -- Simple chemical experiments: Parametric inferential data analysis -- One factor experimental designs for chemical experimentation -- Factorial experimental designs for chemical experimentation -- Regression modelling in the chemical sciences -- Non-parametric inferential data analysis -- Two-level factorial designs in chemical experimentation -- Multivariate analysis methods in chemistry -- Appendix A: Statistical tables -- Appendix B: Tables of large data sets -- Answers to exercises.
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