Results 271 to 280 of about 194,005 (326)

Best Linear Unbiased Prediction in the Generalized Linear Regression Model

Journal of the American Statistical Association, 1962
Abstract When interdependence of disturbances is present in a regression model, the pattern of sample residuals contains information which is useful in prediction of post-sample drawings. This information, which is often overlooked, is exploited in the best linear unbiased predictor derived here.
A. Goldberger
semanticscholar   +2 more sources

Best Linear Unbiased Prediction

Linear Model Theory, 2020
Suppose, as in Chap. 11, that the model for y is an Aitken model. In this chapter, however, rather than considering the problem of estimating cTβ under that model (which we have already dealt with), we consider the problem of estimating or, to state it more accurately, predictingτ ≡cTβ + u, where u is a random variable satisfying $$\displaystyle ...
D. Zimmerman
semanticscholar   +2 more sources

Best linear Unbiased Prediction

ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017
Julius van der Werf
semanticscholar   +3 more sources

Best Linear Unbiased Prediction (BLUP)

, 2017
S. Haslett, S. Puntanen
semanticscholar   +2 more sources

Best Linear Unbiased Prediction

1999
Prediction problems arise naturally in life-testing experiments. For example, let us consider the life-test experiment described in Example 3 of Chapter 5. In this case, twenty three ball bearings were placed on a life-test and the data on the number of million revolutions before failure of each of these ball bearings were observed.
N. Balakrishnan, William W. S. Chen
openaire   +1 more source

Nearest Neighbor Adjusted Best Linear Unbiased Prediction

The American Statistician, 1991
Abstract Statistical inference for linear models has classically focused on either estimation or hypothesis testing of linear combinations of fixed effects or of variance components for random effects. A third form of inference—prediction of linear combinations of fixed and random effects—has important advantages over conventional estimators in many ...
W. W. Stroup, D. K. Mulitze
openaire   +1 more source

Best linear unbiased prediction of triticale hybrid performance

Euphytica, 2012
Predicting single-cross performance is of special interest in hybrid breeding of triticale. We used molecular and phenotypic data of factorial triticale crosses and compared several approaches to predict their single-cross performance. Twenty-three inbred lines and their 76 incomplete factorial crosses were field evaluated for grain yield, plant height,
Manje Gowda, Yusheng Zhao, Hans Peter Maurer, Elmar A. Weissmann, Tobias Würschum, Jochen C. Reif   +5 more
openaire   +1 more source

Best Linear Unbiased Prediction: Applications

1989
Best linear unbiased prediction (BLUP) can be thought of as best linear prediction (BLP) with one difference: the vector of fixed effects (α) associated with the vector of observations (y) is assumed known in BLP, but estimated in BLUP. Many of the steps required to accomplish BLUP and characteristics of how BLUP handles data are similar to those ...
Timothy L. White, Gary R. Hodge
openaire   +1 more source

Best Linear Unbiased Prediction: Introduction

1989
The derivation of Best Linear Prediction (Chapter 4) and selection index theory (Chapter 9) assumed that both the first and second moments of the joint distribution of g and y were known constants. That is, the means, variances and covariances are assumed known.
Timothy L. White, Gary R. Hodge
openaire   +1 more source

Evaluating parents for cane yield in sugarcane breeding using best linear unbiased prediction analysis of progeny data derived from family plots

South African Journal of Plant and Soil, 2018
The success of sugarcane breeding is determined by the choice of parents, crosses made and progeny testing. The objectives of this study were to use best linear unbiased prediction (BLUP) to evaluate parents using progeny data obtained from family plots ...
N. Mbuma, Marvellous M. Zhou, R. van der Merwe   +2 more
semanticscholar   +1 more source