The estimation of the sampling variance point estimators under two-dimensional systematic designs remains a challenge, and several alternative have been proposed in past few decades. In this work, we compared six Horvitz-Thompson (HT) post-stratification (PS) regimes. We subsampled multitude species-specific forest attributes from large, spatially balanced national inventory to compare estimato...

Theoretically, the maximum likelihood estimator has sandwich-type asymptotic variance-covariance matrix under model misspecification. Its empirical estimator, that is called robust variance consistent. Thus, asymptotically valid even In practice, used for computation of standard errors in longitudinal data analysis. Recently, Golden et al. (2019 Golden, R. M., S. Henley, H. White, and T. Michae...

The SLC2A9 gene, that encodes a renal uric acid reuptake transporter, has genetic variants that explain ∼3% of variance in urate levels. There are previous reports of non-additive interaction between SLC2A9 genotype and environmental factors which influence urate control. Therefore, our aim was to further investigate the general phenomenon that such non-additive interactions contribute to genot...

The ability to obtain accurate volatility forecasts is an important issue for the financial analyst. In this paper, we use the DAN2 model, a multilayer perceptron and an ARCH model to predict the monthly conditional variance of stock prices. The results show that DAN2 model is more accurate for predicting in-sample and out-of-sample variance that the other considered models for the used dataset...

Classical quantitative genetic analyses estimate additive and non-additive genetic and environmental components of variance from phenotypes of related individuals without knowing the identities of quantitative trait loci (QTLs). Many studies have found a large proportion of quantitative trait variation can be attributed to the additive genetic variance (VA), providing the basis for claims that ...

Neutrality tests in quantitative genetics provide a statistical framework for the detection of selection on polygenic traits in wild populations. However, the existing method based on comparisons of divergence at neutral markers and quantitative traits (Q(st)-F(st)) suffers from several limitations that hinder a clear interpretation of the results with typical empirical designs. In this article...