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On Quadratic Unbiased Estimator for Variance Components of One-Way Repeated Measurements Model
Author(s) -
Jasim .Mohammed Ali Al-Isawi,
Abdulhussein Saber AL-Mouel
Publication year - 2019
Publication title -
magallaẗ al-qādisiyyaẗ li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāt
Language(s) - English
Resource type - Journals
eISSN - 2521-3504
pISSN - 2074-0204
DOI - 10.29304/jqcm.2019.11.3.582
Subject(s) - variance components , variance (accounting) , estimator , bias of an estimator , a priori and a posteriori , mathematics , statistics , minimum variance unbiased estimator , law of total variance , quadratic equation , quadratic model , one way analysis of variance , variance based sensitivity analysis , analysis of variance , econometrics , philosophy , geometry , accounting , response surface methodology , epistemology , business , volatility (finance) , conditional variance , autoregressive conditional heteroskedasticity
In this paper, we investigate the estimator of variance components of one-way repeated measurements model (RMM) using MINQUE-principle (Rao 1971a and Rao 1971b) and method of MINQUE (1) which using priori values for components of variance.

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