Application of multivariate statistical analysis to classification of antarctic stony meteorites

Two standard multivariate statistical computer analyses, i.e. cluster and stepwise discriminant analyses, are applied to classification of antarctic stony meteorites of 1 E chondrite, 11 H chondrites, 14 L chondrites, 4 LL chondrites, 8 C chondrites, 15 achondrites and 1 mesosiderite. Six cases by c...

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Bibliographic Details
Main Authors: Masaki Ejiri, Haruo Sakurai, Minoru Funaki, Takesi Nagata
Format: Report
Language:English
Published: National Institute of Polar Research/National Institute of Polar Research/National Institute of Polar Research/National Institute of Polar Research 1981
Subjects:
Antarctic
Antarc*
Memoirs of National Institute of Polar Research
Polar Research
Online Access:https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=1232
http://id.nii.ac.jp/1291/00001232/
https://nipr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=1232&item_no=1&attribute_id=18&file_no=1
Description
Summary:Two standard multivariate statistical computer analyses, i.e. cluster and stepwise discriminant analyses, are applied to classification of antarctic stony meteorites of 1 E chondrite, 11 H chondrites, 14 L chondrites, 4 LL chondrites, 8 C chondrites, 15 achondrites and 1 mesosiderite. Six cases by changing combinations of several variables of magnetic, chemical and petrographical components give basically the same classification of sample grouping, except for a few samples. Also it is worthy of special mention that only two parameters of I_s and I_s(α)/I_s make a good classification of sample grouping.

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