Results 71 to 80 of about 3,645 (233)
Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling
Biotechnology and Bioengineering, EarlyView.Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro +3 more
wiley +1 more source
On the existence and uniqueness of estimates in robust and heteroscedastic regression models [PDF]
, 1995 The thesis studies redescending M-estimators for the ordinary linear regression model, and maximum likelihood estimators for heteroscedastic regression models.
Crisp, Adam
core
Adaptive variance function estimation in heteroscedastic nonparametric regression
, 2007 We consider a wavelet thresholding approach to adaptive variance function esti-mation in heteroscedastic nonparametric regression. A data-driven estimator is con-structed by applying wavelet thresholding to the squared first-order differences of the ...
Wang, Lie +3 more
core +1 more source
Biological Reviews, EarlyView.ABSTRACT One of the major subfields of chemical ecology is the study of toxins and how they mediate interactions between organisms. Toxins produced by harmful algae (phycotoxins) impact a wide variety of organisms connected to the marine food web. Significant research efforts have thus aimed to identify the ecological and evolutionary drivers behind ...
Milad Pourdanandeh, Erik Selander
wiley +1 more source
, 2016 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)An extension of some standard likelihood based procedures to heteroscedastic nonlinear regression models under scale mixtures
Labra, Filidor V. +3 more
core +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Drawing on comparative institutional theory, we study the nature and magnitude of the effects of national environmental policies on corporate green innovation in developed versus emerging markets. Using a sample of 1831 listed firms in 34 countries from 2002 to 2020, we find that national environmental policies increase corporate green ...
Ivan Miroshnychenko +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigated whether superior environmental, social, and governance (ESG) practices enhance corporate value and market efficiency under various economic theories. Using a multi‐country panel of 31 economies from 2015 to 2022, we find that both ESG performance and disclosure improve intrinsic value and mitigate equity misvaluation ...
Xinyu Wang +5 more
wiley +1 more source
Revista EIA, 2012 Uno de los principales agentes contaminantes del aire es el material particulado de diámetro aerodinámico inferior a 10 micrómetros, comúnmente conocido como PM10.
Jhovana Reina, Javier Olaya
doaj
Degeneracy in Heteroscedastic Regression Models
The maximum likelihood estimation in a regression model with heteroscedastic errors is considered. When the design matrices in the model are inappropriately specified, the maximum likelihood estimates of the variances of certain observations are found to
Chan, Nai Ng, Li, Kim-Hung
core
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the relationship between mergers and acquisitions (M&A), board characteristics, and ESG performance in BRICS companies, considering the moderating role of sectoral sensitivity. The study analyzes 11,402 observations from 2293 BRICS companies, employing Two‐Stage Least Squares (2SLS) to address endogeneity and logistic ...
Geovane Camilo dos Santos +2 more
wiley +1 more source