Results 91 to 100 of about 91,156 (303)
Linear infrared spectroscopy combined with isotope labeling and density functional theory unravels the origin of a Fermi triad in a multifunctional vibrational chromophore. Ultrafast 2DIR‐spectroscopy reports directly on the dynamics and the intramolecular vibrational energy flow pathways in the isotopically deperturbed system. Abstract Infrared probes
Claudia Gräve +4 more
wiley +1 more source
A method of estimating the average derivative: the multivariate case [PDF]
The paper uses local linear regression to estimate the ``direct'' Average Derivative \delta = E(D[m(x)]), where m(x) is the regression function. The estimate of \delta is the weighted average of local slope estimates. We prove the asymptotic normality of
Banerjee, Anurag N.
core
What Drives CSR Performance: Structures, Declarations or Values?
ABSTRACT Sustainability and corporate social responsibility (CSR) are increasingly central to strategic management, yet a gap persists between formal commitments and actual practice. The study explores the structural and value‐based predictors of the institutional integration of CSR and sustainability, with a focus on the mediating role of the CSR ...
Pavla Vrabcová +3 more
wiley +1 more source
Maximum pseudo-likelihood estimator for nearest-neighbours Gibbs point processes
This paper is devoted to the estimation of a vector parametrizing an energy function associated to some "Nearest-Neighbours" Gibbs point process, via the pseudo-likelihood method.
Billiot, Jean-Michel +2 more
core +1 more source
ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
Omnibus Tests for Multivariate Normality of Observations and Residuals [PDF]
This paper provides omnibus tests for multivariate normality of both observations and residuals. They are derived by considering as the alternatives to the multivariate normal a class of maximum-entropy distributions studied elsewhere by the author.
Urzúa, Carlos M.
core
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
Adaptive Fractional Differencing for Learning-Optimal Long-Memory Preservation
Forecasting and prediction in financial time series are fundamentally challenging due to non-stationarity and long-range dependence (LRD) nature of such series.
Sarit Maitra
doaj +1 more source
Local Asymptotic Normality and Efficient Estimation for inar (P) Models [PDF]
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalued phenomena that evolve in time.The distribution of an INAR(p) process is determined by two parameters: a vector of survival probabilities and a ...
Akker, R. van den +2 more
core +1 more source
Experimental Factors and Techniques for Pool Boiling Heat Transfer Enhancement: A Critical Review
ABSTRACT This review presents a comprehensive assessment of active strategies for enhancing pool boiling heat transfer, with a focus on techniques that do not rely solely on the boiling surface modification. It examines a broad range of methodologies including fluid additives, external fields, mechanical interventions, and thermal‐geometric tuning that
José E. Pereira +2 more
wiley +1 more source

