## Proceedings of the International Conference on Linear Statistical Inference: LINSTAT '93This volume contains a selection of invited and contributed papers presented at the International Conference on Linear Statistical Inference LINSTAT '93, held in Poznan, Poland, from May 31 to June 4, 1993. Topics treated include estimation, prediction and testing in linear models, robustness of relevant statistical methods, estimation of variance components appearing in linear models, generalizations to nonlinear models, design and analysis of experiments, including optimality and comparison of linear experiments. This book will be of interest to mathematical statisticians, applied statisticians, biometricians, biostatisticians, and econometrists. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Increments for cokriging with trend and pseudocovariance estimation | 1 |

On the presentation of the minimax linear estimator in the convex linear | 13 |

Estimation of parameters in a special type of random effects model | 27 |

Copyright | |

29 other sections not shown

### Common terms and phrases

Agricultural University algorithm Annals of Statistics ANOVA assumption asymptotic normality Bailey bias bound block designs Caliriski coefficients columns comparisons compute condition indexes Conference on Linear considered corresponding covariance matrix decomposition defined definite denote Dunnett eigenvalues eigenvectors equal equation estimation of variance experimental design F-test FP's GB-EB designs given incidence matrix influence function information matrix Kala eds least squares Lemma linear estimation linear model linear regression Linear Statistical Inference Mathematics maximum likelihood mean squared error method minimax MINQUE mixed model multiple multivariate neighbour nonlinear nonlinear regression nonnegative observations obtained one-way optimal optimal bias orthogonal projector paper parameters Poland Poznari prediction problem Proof properties pseudo-covariance random variables random vector robust estimator rows Royal Statistical Society sample satisfied Section space Statistical Inference Stepniak structure submodel symmetric Table Tamhane Theorem theory treatment Trenkler unbiased estimator values variance components Wiley zero Zontek