CD Tesis

Analisis Regresi Logistik Ordinal Dan Pendeteksian Outlier Untuk Identifikasi Bakat Olahraga

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The purpose of this study is to explain the techniques in detecting the outlier of the ordinal data by using the regression coefficients. Identification data derives from the sport tests of Junior High Schools Students (SMP) in Pekanbaru. The ordinal logistic regression is combined with the proportional odds model. As the attraction of the modulus ordinal regressions interest, the jackknife technique is applied. The satisfactory results show through the graphically outlier identification. The average observation of the regression coefficients appears the same impact that against the regularly best application deviance observation. Eventually, the absolute average of the regression coefficients can be used as an alternative technique in identifying the outlier existence and the residual deviances.
Keywords: outlier, ordinal, proportional odds model, regression coefficients, goodness of fit test model, jackknife

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

10 15. 218 (0015)

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Tesis Matematika., 2018

Deskripsi Fisik

xiii, 47 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

10 15. 218 (0015)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

PASCASARJANA (MAGISTER) MATEMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

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