Results 71 to 80 of about 91,156 (303)
Local partial-likelihood estimation for lifetime data
, 2006 This paper considers a proportional hazards model, which allows one to examine the extent to which covariates interact nonlinearly with an exposure variable, for analysis of lifetime data.
Fan, Jianqing, Lin, Huazhen, Zhou, Yong
core +2 more sources
Local asymptotic normality for multivariate linear processes
Stochastic Processes and their Applications, 1994 Let \(\{x_ t\}\) be i.i.d. \(d\)-dimensional random vectors and \(\{\gamma_ j\}\) \(d \times d\) nonrandom matrices. The author considers a linear process \(y_ t=\sum^ \infty_{j=0} \gamma_ j x_{t-j}\). Local asymptotic normality (LAN) is established for the likelihood ratios for the distribution of \((x_ j:j \leq 0\), \(y_ 1,\dots,y_ n)\).
openaire +2 more sources
Journal of Consumer Behaviour, EarlyView.ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička +1 more
wiley +1 more source
Local bilinear multiple-output quantile/depth regression
, 2015 A new quantile regression concept, based on a directional version of Koenker and Bassett's traditional single-output one, has been introduced in [Ann. Statist. (2010) 38 635-669] for multiple-output location/linear regression problems.
Hallin, Marc +3 more
core +1 more source
The Filament Extension Atomization Process for Powder Production of Elastic Fluids
Chemie Ingenieur Technik, EarlyView.Filament extension atomization is a promising technique for spraying a wide range of materials, enabling narrow droplet size distributions. This study examines the behavior of various fluids and suspensions to define application limits and identify optimal operating conditions.
Moritz Neukötter +4 more
wiley +1 more source
Local asymptotic normality for ergodic jump-diffusion processes via transition density approximation
Bernoulli, 2023 Teppei Ogihara, Yuma Uehara
semanticscholar +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Local Linear Regression for Functional Ergodic Data with Missing at Random Responses
MathematicsIn this article, we develop a novel kernel-based estimation framework for functional regression models in the presence of missing responses, with particular emphasis on the Missing At Random (MAR) mechanism.
Yassine Baghli +2 more
doaj +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Schematic of the CO adsorption process in a fixed‐bed column containing pure NaY zeolite and Nb‐modified NaY (NaY–5%Nb). On the left, breakthrough curves and temperature profiles highlight the dynamic performance and thermal effects during CO adsorption.
Elson Oliveira +3 more
wiley +1 more source