Results 131 to 140 of about 43,652 (301)
Conditional Density Kernel Estimation Under Random Censorship for Functional Weak Dependence Data
The primary objective of this research is to investigate the asymptotic properties of the conditional density nonparametric estimator. The main areas of focus are the estimator’s consistency (with rates), including those involving censored data and quasi-
Hamza Daoudi +3 more
doaj +1 more source
Occupancy models are increasingly applied to data from wildlife camera‐trap (CT) surveys to estimate distribution, habitat use, or relative abundance of unmarked animals.
Eric W. Neilson +4 more
doaj +1 more source
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic +3 more
wiley +1 more source
Parametric Conditional Monte Carlo Density Estimation [PDF]
In applied density estimation problems, one often has data not only on the target variable, but also on a collection of covariates. In this paper, we study a density estimator that incorporates this additional information by combining parametric ...
John Stachurski, Yin Liao
core
Dynamical analysis of one machine to infinite bus power systems under Gauss type random excitation
We discuss the asymptotic behavior of the stochastic one machine to infinite bus power systems. Using the exponential martingale inequality and the Borel-Cantelli Lemma, we obtain asymptotic moment estimation and asymptotic pathwise estimation of the ...
Lei Liu, Ping Ju, Feng Wu
doaj
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin +8 more
wiley +1 more source
Asymptotic Efficiency of the OLS Estimator with Singular Limiting Sample Moment Matrices [PDF]
This paper presents a time series model that has an asymptotically efficient ordinary least squares (OLS) estimator, irrespective of the singularity of its limiting sample moment matrices.
Yoshimasa Uematsu
core
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Asymptotic methods for delay equations.
Asymptotic methods for singularly perturbed delay differential equations are in many ways more challenging to implement than for ordinary differential equations.
Fowler, AC, Fowler, A. C.
core +1 more source
Asymptotic densities of newforms
We define the counting function for non-analytic (Maass) newforms of Hecke congruence groups_Gamma_0(M)_. We then calculate the three main terms of this counting function and give necessary and sufficient conditions on M for this counting function to have the same shape as if it were counting eigenvalues related to a cocompact group.
openaire +2 more sources

