Investigation on the normal distribution of random errors in a two-factor split-plot design

Henryk Brzeskwiniewicz

Mathematica Applicanda (1989)

  • Volume: 17, Issue: 31
  • ISSN: 1730-2668

Abstract

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We suggest in this paper a method for assessing the validity of the assumption of normal distribution of random errors in a two-factor split-plot design. The vector observation is transformed into residual vector and then the residual vector is tranformed into an adjusted residual vector from the least squares method by linear transformation. Since the components of the adjusted residual vector satisfy the conditions for a simple sample, therefore the appropriately chosen adjusted residual vector can be used for testing of normality.

How to cite

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Henryk Brzeskwiniewicz. "Investigation on the normal distribution of random errors in a two-factor split-plot design." Mathematica Applicanda 17.31 (1989): null. <http://eudml.org/doc/293076>.

@article{HenrykBrzeskwiniewicz1989,
abstract = {We suggest in this paper a method for assessing the validity of the assumption of normal distribution of random errors in a two-factor split-plot design. The vector observation is transformed into residual vector and then the residual vector is tranformed into an adjusted residual vector from the least squares method by linear transformation. Since the components of the adjusted residual vector satisfy the conditions for a simple sample, therefore the appropriately chosen adjusted residual vector can be used for testing of normality.},
author = {Henryk Brzeskwiniewicz},
journal = {Mathematica Applicanda},
keywords = {Factorial designs},
language = {eng},
number = {31},
pages = {null},
title = {Investigation on the normal distribution of random errors in a two-factor split-plot design},
url = {http://eudml.org/doc/293076},
volume = {17},
year = {1989},
}

TY - JOUR
AU - Henryk Brzeskwiniewicz
TI - Investigation on the normal distribution of random errors in a two-factor split-plot design
JO - Mathematica Applicanda
PY - 1989
VL - 17
IS - 31
SP - null
AB - We suggest in this paper a method for assessing the validity of the assumption of normal distribution of random errors in a two-factor split-plot design. The vector observation is transformed into residual vector and then the residual vector is tranformed into an adjusted residual vector from the least squares method by linear transformation. Since the components of the adjusted residual vector satisfy the conditions for a simple sample, therefore the appropriately chosen adjusted residual vector can be used for testing of normality.
LA - eng
KW - Factorial designs
UR - http://eudml.org/doc/293076
ER -

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