Geodesic
Making use of incomplete observations for regression in bivariate normal model
Applications of Mathematics, Tome 48 (2003) no. 1, pp. 67-72 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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Two estimates of the regression coefficient in bivariate normal distribution are considered: the usual one based on a sample and a new one making use of additional observations of one of the variables. They are compared with respect to variance. The same is done for two regression lines. The conclusion is that the additional observations are worth using only when the sample is very small.
Two estimates of the regression coefficient in bivariate normal distribution are considered: the usual one based on a sample and a new one making use of additional observations of one of the variables. They are compared with respect to variance. The same is done for two regression lines. The conclusion is that the additional observations are worth using only when the sample is very small.
DOI : 10.1023/A:1022907004897
Classification : 62F10, 62F11, 62H12, 62J05
Keywords: bivariate normal distribution; regression coefficient 
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Tarasińska, Joanna. Making use of incomplete observations for regression in bivariate normal model. Applications of Mathematics, Tome 48 (2003) no. 1, pp. 67-72. doi: 10.1023/A:1022907004897

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