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Partially Linear Models (Paperback, Softcover reprint of the original 1st ed. 2000) Loot Price: R1,452

Discovery Miles 14 520

Repayment Terms: R136 pm x 12*

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Partially Linear Models (Paperback, Softcover reprint of the original 1st ed. 2000): Wolfgang Hardle, Hua Liang, Jiti Gao

Partially Linear Models (Paperback, Softcover reprint of the original 1st ed. 2000)

Wolfgang Hardle, Hua Liang, Jiti Gao

Series: Contributions to Statistics

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Loot Price R1,452 Discovery Miles 14 520 | Repayment Terms: R136 pm x 12*

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In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models.

General

Imprint:	Physica-Verlag
Country of origin:	Germany
Series:	Contributions to Statistics
Release date:	September 2000
First published:	2000
Authors:	Wolfgang Hardle • Hua Liang • Jiti Gao
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	206
Edition:	Softcover reprint of the original 1st ed. 2000
ISBN-13:	978-3-7908-1300-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Promotions
LSN:	3-7908-1300-1
Barcode:	9783790813005

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Partially Linear Models (Paperback, Softcover reprint of the original 1st ed. 2000)

Wolfgang Hardle, Hua Liang, Jiti Gao

Series: Contributions to Statistics

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