A nonparametric test of fit of a linear model

Andrzej S. Kozek

doi:10.1080/03610929008830195

A nonparametric test of fit of a linear model

Andrzej S. Kozek^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In the paper we derive a test of fit of a linear model based on a nonparametic kernel estimator of a regression function. The test is especially useful when no replication is available.

Original language	English
Pages (from-to)	169-179
Number of pages	11
Journal	Communications in Statistics - Theory and Methods
Volume	19
Issue number	1
DOIs	https://doi.org/10.1080/03610929008830195
Publication status	Published - 1990
Externally published	Yes

Keywords

kernel estimator
limit distribution
linear model
regression
test of fit

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title = "A nonparametric test of fit of a linear model",

abstract = "In the paper we derive a test of fit of a linear model based on a nonparametic kernel estimator of a regression function. The test is especially useful when no replication is available.",

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year = "1990",

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journal = "Communications in Statistics - Theory and Methods",

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AB - In the paper we derive a test of fit of a linear model based on a nonparametic kernel estimator of a regression function. The test is especially useful when no replication is available.

KW - kernel estimator

KW - limit distribution

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KW - regression

KW - test of fit

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DO - 10.1080/03610929008830195

M3 - Article

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JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

SN - 0361-0926

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ER -

A nonparametric test of fit of a linear model

Abstract

Keywords

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