Results 81 to 90 of about 62,585 (293)
Acta Universitatis Lodziensis. Folia Oeconomica, 2017 We consider the problem of the estimation of the mean squared error (MSE) of some domain mean predictor for Fay‑Herriot model. In the simulation study we analyze properties of eight MSE estimators including estimators based on the jackknife method (Jiang,
Małgorzata Karolina Krzciuk
doaj +1 more source
A Homogeneous Class of Linear Estimators and Stronger Aitken Estimator [PDF]
We define a new class of linear estimators which includes as a subset all linear unbiased estimators. Subsequently, we establish Aitken estimator, the best linear unbiased estimator, further as the best in this larger class of linear estimators.
Eric Iksoon Im, Marcellus Snow
core
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Advanced Science, EarlyView.We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha +13 more
wiley +1 more source
Inference for the Two Parameter Reduced Kies Distribution under Progressive Type-II Censoring
Mathematics, 2020 In this paper, we obtained several recurrence relations for the single and product moments under progressively Type-II right censored order statistics and then use these results to compute the means and variances of two parameter reduced Kies ...
Mansour Shrahili +3 more
doaj +1 more source
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
Advanced Science, EarlyView.This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
Statistica, 2015 In this work we have derived appropriate U-statistics from a sample of any size exceeding a specified integer to estimate the location and scale parameters of Type III generalized logistic distribution without the knowledge or by evaluation of the means,
Poruthiyudian Yageen Thomas, R. R. Priya
doaj +1 more source
Linear Transformations Preserving Best Linear Unbiased Estimators in a General Gauss-Markoff Model
The Annals of Statistics, 1981 Under a general Gauss-Markoff model $\{\mathbf{y}, \mathbf{X,\beta, V}\}$, a necessary and sufficient condition is established for a linear transformation, $\mathbf{F}$, of the observable random vector $\mathbf{y}$ to have the property that there exists a linear function of $\mathscr{Fy}$ which is a BLUE of $\mathbf{X\beta}$.
Baksalary, J. K., Kala, R.
openaire +3 more sources
"Mixed Effects Prediction under Benchmarking and Applications to Small Area Estimation" [PDF]
The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation in the sense of increasing the precision of estimation of small area means.
Tatsuya Kubokawa
core
Advanced Science, EarlyView.Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source