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Titlebook: Chemometrics; Mathematics and Stat Bruce R. Kowalski Book 1984 Springer Science+Business Media Dordrecht 1984 analytical chemistry.chemomet

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發(fā)表于 2025-3-21 17:45:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Chemometrics
副標(biāo)題Mathematics and Stat
編輯Bruce R. Kowalski
視頻videohttp://file.papertrans.cn/225/224921/224921.mp4
叢書名稱Nato Science Series C:
圖書封面Titlebook: Chemometrics; Mathematics and Stat Bruce R. Kowalski Book 1984 Springer Science+Business Media Dordrecht 1984 analytical chemistry.chemomet
描述At a time when computerized laboratory automation is producing a da ta explosion, chemists are turning to applied mathematics and statistics for the tools to extract useful chemical information from data. This rush to find applicable methods has lead to a somewhat confusing body of literature that represents a barrier to chemists wishing to learn more about chemometrics. The confusion results partly from the mixing of chemical notation and nomenclature with those of statistics, applied mathematics and engineering. Additionally, in the absence of collaboration with mathematicians, chemists have, at times, misused data analysis methodology and even reinvented methods that have seen years of service in other fields. The Chemometrics Society has worked hard to solve this problem since it was founded in 1974 with the goal of improving communications between the chemical sciences and applied mathe- matics and statistics. The NATO Advanced Study Institute on Chemometrics is evidence of this fact as it was initiated in response to a call from its membership for advanced training in several areas of chemometrics. This Institute focused on current theory and application in the new field of C
出版日期Book 1984
關(guān)鍵詞analytical chemistry; chemometrics; clinical chemistry
版次1
doihttps://doi.org/10.1007/978-94-017-1026-8
isbn_softcover978-90-481-8407-1
isbn_ebook978-94-017-1026-8Series ISSN 1389-2185
issn_series 1389-2185
copyrightSpringer Science+Business Media Dordrecht 1984
The information of publication is updating

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Chemometrics and Analytical Chemistry,n areas ranging from medical diagnostics to monitoring our climate. Chemometrics is central in deriving adequate responses to these needs in terms of the design, control, evaluation and validation of the Analytical Measurement Process. The substance of this lecture is based on two key references dea
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Linear Models and Matrix Least Squares in Clinical Chemistry,tainties are of primary importance; for example, the initial reaction rate (slope with respect to time) of a kinetic method of analysis (.). In other studies, the graph of the whole model (and the associated uncertainty) is of interest—e.g., a calibration curve relating measured values of response t
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Variation in Space: An Introduction to Regionalized Variables,, which are intermediate in behavior between purely random variables and deterministic functions, commonly occur in nature. Examples include variations in composition within ore bodies or concentrations of pesticides in soils. The degree of spatial continuity of a regionalized variable is expressed
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Three-Dimensional Graphics for Scientific Data Display and Analysis, three-dimensional scatterplots, combined surface/contour plots, and combined surface/point displays. A variety of useful features which will enhance the utility of these plots is illustrated. Such displays have proved extremely valuable in providing insights into many problems of chemometrics.
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Teaching Chemometrics,on. Twenty years ago only a happy few dared the very user-unfriendly access to computers with: Punched charts; paper tape; background processing without the possibility ofinteractive operation; long turn around time etc. Software packages being hardly available at that time, the development of algor
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