Results 71 to 80 of about 62,351 (294)
Estimating parameters of fluctuations in the cosmic microwave background [PDF]
We address questions that arise in statistical analyses of recently detected fluctuations in the Cosmic Microwave Background (CMB). Estimators of the quadrupole amplitude, Q, and spectral index, n, of the CMB angular fluctuation power spectrum are ...
Lineweaver, Charles H. +2 more
core +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model
In the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Hina Naz +3 more
doaj +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +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
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney +3 more
wiley +1 more source
META-R: A software to analyze data from multi-environment plant breeding trials
META-R (multi-environment trial analysis in R) is a suite of R scripts linked by a graphical user interface (GUI) designed in Java language. The objective of META-R is to accurately analyze multi-environment plant breeding trials (METs) by fitting mixed ...
Gregorio Alvarado +7 more
doaj +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
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
"Prediction in Multivariate Mixed Linear Models" [PDF]
The multivariate mixed linear model or multivariate components of variance model with equal replications is considered.The paper addresses the problem of predicting the sum of the regression mean and the random e ects.When the feasible best linear ...
M. S. Srivastava, Tatsuka Kubokawa
core

