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101216 ||| eng |
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|a 9781847559555
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| 100 |
1 |
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|a Ellison, Stephen L R.
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| 245 |
0 |
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|a Practical statistics for the analytical scientist
|h Elektronische Ressource
|b A bench guide
|c Stephen L R Ellison, Vicki J. Barwick, Trevor J. Farrant
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| 250 |
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|a 2nd rev. ed
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| 260 |
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|a Cambridge
|b Royal Society of Chemistry
|c 2009
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| 300 |
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|a 270 p
|b 112 b&w, ill., 102
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| 505 |
0 |
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|a Chapter 1: Introduction - Choosing the Correct Statistics-- Chapter 2: Graphical Methods-- Chapter 3: Distributions and Types of Data-- Chapter 4: Basic Statistical Techniques-- Chapter 5: Outliers in Analytical Data-- Chapter 6: Analysis of Variance-- Chapter 7: Regression-- Chapter 8: Designing Effective Experiments-- Chapter 9: Validation and Method Performance-- Chapter 10: Measurement Uncertainty-- Chapter 11: Analytical Quality Control-- Chapter 12: Proficiency Testing-- Chapter 13: Simple Sampling Strategies
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| 700 |
1 |
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|a Barwick, Vicki J.
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| 700 |
1 |
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|a Farrant, Trevor J.
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ZDB-1-RSE
|a RSC eBook Collection 1968-2009
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| 500 |
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|a Ebook. - Epublication based on: 9780854041312
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| 776 |
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|z 1847559557
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| 776 |
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|z 9781847559555
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| 856 |
4 |
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|u https://dx.doi.org/10.1039/9781847559555
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 501.51
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| 520 |
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|a This manual provides a set of statistical tools to help readers plan experiments and apply appropriate statistics for data evaluation, The application of statistics is central to the assessment of data quality and an understanding of statistics is essential for the interpretation of analytical results. 'Practical Statistics for the Analytical Scientist, A Bench Guide' was first published by the RSC in 1997. This well structured manual was designed to help practicing analytical scientists and students identify the correct statistical parameters and tests to apply to their data. Completely revised and updated, the second edition contains new sections on method validation, measurement uncertainty, effective experimental design and proficiency testing. Key features: -covers the essential statistics required in analytical science -describes the application of statistics in important quality assurance activities such as method validation, evaluating uncertainty and proficiency testing -aimed at analysts who may have little knowledge of statistics -focuses on applications rather than theory -'FAQs' in the introduction guide the reader to appropriate chapters -comprehensive list of symbols and notation -extensive worked examples illustrate key statistical techniques -self-assessment questions (with detailed solutions) to test understanding. The book provides the reader with a set of statistical tools to help them plan effective experiments and apply appropriate statistics for data evaluation
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