کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1180717 | 962868 | 2007 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust statistics in data analysis — A review: Basic concepts
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Presence of outliers in chemical data affects all least squares models, which are extensively used in chemometrics for data exploration and modeling. Therefore, more and more attention is paid to the so-called robust models and robust statistics that aim to construct models and estimates describing well data majority. Moreover, construction of robust models allows identifying outlying observations. The outliers identification is not only essential for a proper modeling but also for understanding the reasons for unique character of the outlying sample.In this paper some basic concepts of robust techniques are presented and their usefulness in chemometric data analysis is stressed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 85, Issue 2, 15 February 2007, Pages 203–219
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 85, Issue 2, 15 February 2007, Pages 203–219
نویسندگان
M. Daszykowski, K. Kaczmarek, Y. Vander Heyden, B. Walczak,