Results 31 to 40 of about 117,319,651 (289)
Optimality of Quasi-Score in the multivariate mean-variance model with an application to the zero-inflated Poisson model with measurement errors [PDF]
, 2006 In a multivariate mean-variance model, the class of linear score (LS) estimators based on an unbiased linear estimating function is introduced. A special member of this class is the (extended) quasi-score (QS) estimator.
Kukush, Alexander +3 more
core +1 more source
Química Nova, 2008 The objective of this study was to develop and validate an analytical method for quantification of glucosamine and chondroitin in pharmaceutical formulations. Multivariate calibration combined with infrared spectrophotometry allowed this analysis.
Paula Rossignoli +4 more
doaj +1 more source
Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers [PDF]
Hydrology and Earth System Sciences, 2019 Simulations of regional or global climate models are often used for climate change impact assessment. To eliminate systematic errors, which are inherent to all climate model simulations, a number of post-processing (statistical downscaling) methods have ...
J. Hnilica +3 more
doaj +1 more source
Remote Sensing, 2022 This work tests the hypothesis that jointly assimilating satellite observations of leaf area index and surface soil moisture into a land surface model improves the estimation of land vegetation and water variables.
Azbina Rahman +5 more
doaj +1 more source
Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales [PDF]
Nonlinear Processes in Geophysics, 2020 Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically modelled
M. Van Ginderachter +6 more
doaj +1 more source
Estimation for the Multivariate Errors-in-Variables Model with Estimated Error Covariance Matrix
The Annals of Statistics, 1984 The authors consider the estimation problem of multivariate errors-in- variables models. Let \(r\times 1\) row vectors \(y_ i\) and \(k\times 1\) row vectors \(x_ i\) satisfy \(y_ i=\beta_ 0+x_ i\beta\), \(i=1,2,...,n\), where \(\beta_ 0\) and \(\beta\) are 1\(\times r\) and \(k\times r\) matrices of parameters, respectively.
Amemiya, Yasuo, Fuller, Wayne A.
openaire +3 more sources
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Multiple Response Variables Regression Models in R: The mcglm Package
Journal of Statistical Software, 2018 This article describes the R package mcglm implemented for fitting multivariate covariance generalized linear models (McGLMs). McGLMs provide a general statistical modeling framework for normal and non-normal multivariate data analysis, designed to ...
Wagner Hugo Bonat
doaj +1 more source
MXene-Based Room-Temperature NO<sub>2</sub> Gas Sensors: A Meta-Analysis. [PDF]
Adv Sci (Weinh)This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Khort A +3 more
europepmc +2 more sources
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source