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Autoregressive error-processes, cubic splines and tridiagonal matrices

100%

Drygas H.

Discussiones Mathematicae Probability and Statistics

|

2003

|

tom 23

|

nr 2

147-165

EN

In the paper formulate for the inversion of some tridiagonal matrices are given. The results can be applied to the autoregressive processes.

2

Statistical analysis of diabetes mellitus

100%

Drygas H.

Discussiones Mathematicae Probability and Statistics

|

2009

|

tom 29

|

nr 1

69-90

EN

This paper deals with an application of regression analysis to the regulation of the blood-sugar under diabetes mellitus. Section 2 gives a description of Gram-Schmidt orthogonalization, while Section 3 discusses the difference between Gauss-Markov estimation and Least Squares Estimation. Section 4 is devoted to the statistical analysis of the blood-sugar during the night. The response change of blood-sugar is explained by three variables: time, food and physical activity ("Bewegung"). At the beginning of the section it is shown that the proposed method was very successful in 2007.

3

Hsu's theorem in variance component models

50%

Drygas H.

Banach Center Publications

|

1980

|

tom 6

|

nr 1

95-107

4

Sufficiency in linear models

44%

Drygas H.

Banach Center Publications

|

1985

|

tom 16

|

nr 1

67-72

Ograniczanie wyników

2 Banach Center Publications

2 Discussiones Mathematicae Probability and Statistics

4 Drygas H.

1 2009

1 2003

1 1985

1 1980

Autoregressive error-processes, cubic splines and tridiagonal matrices

Statistical analysis of diabetes mellitus

Hsu's theorem in variance component models

Sufficiency in linear models