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Quadratically admissible estimators in random models.

100%

Zmyślony R.

Mathematica Applicanda

|

1976

|

tom 4

|

nr 7

PL

Artykuł nie zawiera streszczenia

EN

The author is concerned with a random model of the form y=1μ+X1β1+⋯+Xkβk, where 1 is the n-vector of ones, μ is an unknown constant, Xi is an n×pi matrix of known constants, and βi is a pi-vector of random variables. It is assumed that pk and Xk=I the identity matrix of order n, and also that β1 are mutually independent, with βk∼Npi, i=1,⋯,k, where Vk=I, Vi is a known pi nonnegative definite matrix, and σi is an unknown nonnegative parameter, with the additional requirement that σk be strictly positive.

2

O I Konferencji ze Statystyki Matematycznej w Wiśle

64%

Klonecki W., Zmyślony R.

Mathematica Applicanda

|

1976

|

tom 4

|

nr 6

EN

.

3

Estimation of variance components in random models

63%

Zmyślony R.

Applicationes Mathematicae

|

1972-1973

|

tom 13

|

nr 4

521-527

4

Best linear plus quadratic unbiased estimation of parameters in mixed linear models

51%

Gnot S., Klonecki W., Zmyślony R.

Applicationes Mathematicae

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1976-1977

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tom 15

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nr 4

455-462

5

On estimation of parameters in linear models

50%

Zmyślony R.

Applicationes Mathematicae

|

1976-1977

|

tom 15

|

nr 3

271-276

Ograniczanie wyników

3 Applicationes Mathematicae

2 Mathematica Applicanda

5 Zmyślony R.

2 Klonecki W.

1 Gnot S.

1 1977

3 1976

1 1973

Quadratically admissible estimators in random models.

O I Konferencji ze Statystyki Matematycznej w Wiśle

Estimation of variance components in random models

Best linear plus quadratic unbiased estimation of parameters in mixed linear models

On estimation of parameters in linear models