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An Approximate Test for Comparing Heteroscedastic Regressio..:

Conerly, Michael D. ; Mansfield, Edward R.
Journal of the American Statistical Association. 83 (1988) 403 - p. 811-817 , 1988

Link: https://www.jstor.org/stable/2289311

RT Journal
T1 <Title>An Approximate Test for Comparing Heteroscedastic Regression Models</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-2289311&Exemplar=1&LAN=DE
				
A1 Conerly, Michael D.
A1 Mansfield, Edward R.
PB American Statistical Association
YR 1988
SN 0162-1459
SN 1537-274X
K1 Behrens-Fisher problem
K1 Chow test
K1 Heteroscedastic variances
K1 Satterthwaite approximation
K1 Validation
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Statistical results
K1 Statistical properties
K1 Statistical discrepancies
K1 Pure mathematics
K1 Linear algebra
K1 Matrix theory
K1 Eigenvalues
K1 Mathematical procedures
K1 Approximation
K1 Statistical significance
K1 Significance level
K1 Descriptive statistics
K1 Measures of variability
K1 Sample size
K1 Physical sciences
K1 Physics
K1 Mechanics
K1 Classical mechanics
K1 Kinetics
K1 Translational motion
K1 Degrees of freedom
K1 Information science
K1 Information analysis
K1 Data analysis
K1 Regression analysis
K1 Statistical variance
K1 Vector analysis
K1 Mathematical vectors
K1 Eigenvectors
JF Journal of the American Statistical Association
VO 83
IS 403
SP 811
OP 817
LK http://dx.doi.org/https://www.jstor.org/stable/2289311
DO https://www.jstor.org/stable/2289311
SF ELIB - SuUB Bremen

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