Results 41 to 50 of about 179,787 (326)

Genomic studies of milk-related traits in water buffalo (Bubalus bubalis) based on single-step genomic best linear unbiased prediction and random regression models.

open access: yesJournal of Dairy Science, 2021
Genomic selection has been widely implemented in many livestock breeding programs, but it remains incipient in buffalo. Therefore, this study aimed to (1) estimate variance components incorporating genomic information in Murrah buffalo; (2) evaluate the ...
S. F. Lázaro   +7 more
semanticscholar   +1 more source

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri   +2 more
wiley   +1 more source

Best Linear Unbiased Prediction of Herbivore Preferences [PDF]

open access: yesJournal of Range Management, 1998
Generalized linear mixed models were used to obtain best linear unbiased predictions (BLUP's) of herbivore preferences for range plant species from expert knowledge contained in range site descriptions produced by the USDA Soil Conservation Service (currently Natural Resources Conservation Service). A total of 4,558 assessments of preference for cattle,
Mort M. Kothmann   +1 more
openaire   +1 more source

UNEMPLOYMENT RATE ESTIMATION IN BALI PROVINCE: A SMALL AREA ESTIMATION APPROACH

open access: yesBarekeng, 2022
Good development and economic growth increase the opportunities for people in the related areas to become more prosperous so that they can become a benchmark for the country's economy.
I Komang Gde Sukarsa   +2 more
doaj   +1 more source

On best linear unbiased estimation and prediction under a constrained linear random-effects model

open access: yesJournal of Industrial and Management Optimization, 2021
This paper is concerned with solving some fundamental estimation, prediction, and inference problems on a linear random-effects model with its parameter vector satisfying certain exact linear restrictions.
Bo Jiang, Yongge Tian
semanticscholar   +1 more source

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