| 000 | 01788nam a22002177a 4500 | ||
|---|---|---|---|
| 005 | 20230323160242.0 | ||
| 008 | 220531b ||||| |||| 00| 0 eng d | ||
| 020 | _a9781138568303 | ||
| 040 | _cAL | ||
| 041 | _aeng | ||
| 082 |
_223 _a543.072 _bGEMP |
||
| 100 |
_aPaul Gemperline _939617 |
||
| 245 | _aPractical guide to chemometrics | ||
| 250 | _a2nd ed. | ||
| 260 |
_aBoca Raton _bTaylor and Francis _c2018 |
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| 300 |
_a541p _bHB _c23x16cm. |
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| 365 |
_2General _a946 _b₹3116.00 _c₹ _d₹3995.00 _e22% _f19-05-2022 |
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| 520 | _aThe limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate methods of data analysis and procedures that are highly beneficial to solving a variety of problems using analytical chemistry and statistics Rather than overshadowing the concepts with theoretical background, this book uses application-oriented examples to illustrate how chemometrics techniques can be applied to complex scenarios with multiple and dynamic variables. The book presents a diverse selection of topics that include sampling, modeling, experimental design, calibration, pattern recognition, data analysis techniques, algorithms, and error. This second edition has been completely revised to feature new chapters on principal component analysis, self-modeling curve resolution, and multi-way analysis methods. It includes expanded material on normal distributions, sampling theory, signal processing, and digital filtering | ||
| 650 |
_2Chemistry _aAnalytical Chemistry _939618 |
||
| 942 |
_2ddc _cBK |
||
| 999 |
_c223152 _d223152 |
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