Pendugaan Model Regresi Dengan Metode Kuadrat Terkecil Parsial  

Oleh:

Indriati, Kumala

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI - atma jaya
Dalam koleksi: Metris: Jurnal Mesin, Elektro, Industri dan Sains vol. 5 no. 2 (Jun. 2004), page 82-90.
Topik: REGRESSION; partial least squares; collinearity; cross validation; linear regression
Fulltext: hal 82-90.pdf (213.22KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: MM42.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The use of partial least square(PLS) for handling collinearities among the independent variables X in multiple regression is discussed. Consecutive estimates (rank 1,2, … ) are obtained using the residuals from previous rank as a new dependent variable y. To estimates the "optimal" rank, cross validation is used. Jackknife estimates of standard errors are thereby obtained with no extra computation.

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