Results 91 to 100 of about 389,136 (225)

Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke   +2 more
wiley   +1 more source

Markov-Switching Model Selection Using Kullback-Leibler Divergence [PDF]

open access: yes
In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously.
Naik, Prasad A.   +2 more
core   +1 more source

Visionary, engineer, and experimenter: Three forms of entrepreneurship in the quest for product–market fit

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research summary Entrepreneurship unfolds under uncertainty, which complicates entrepreneurs' efforts to align idea, action, and environment to reach product–market fit. To illuminate how entrepreneurs perform such alignment, we complement the theory‐based view and its focus on cognitive uncertainty with a discussion of behavioral uncertainty.
Thomas Zellweger, Djordje Djokovic
wiley   +1 more source

Quantifying Population Reversibility of Sensor Performance in Multi‐Cycle Single‐Sensor Recovery Assay

open access: yesSmall, EarlyView.
Single‐walled carbon nanotubes (SWCNTs) are versatile optical nanosensors that can be imaged at the single‐sensor level to map biological processes. To translate such imaging into calibrated measurements, sensor recovery under repeated analyte exposures must be analyzed.
Geffen Rosenberg, Gili Bisker
wiley   +1 more source

Demand Estimation with Text and Image Data

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani   +2 more
wiley   +1 more source

Audit Quality From a Service Perspective: A Systematic Literature Review

open access: yesAccounting Perspectives, EarlyView.
ABSTRACT Audit quality is a multidimensional and latent construct that researchers struggle to evaluate and interpret. This paper follows an interdisciplinary approach by systematically reviewing the literature on audit quality evaluation from a service quality perspective.
Lise Muriel Botha   +3 more
wiley   +1 more source

Inducing Features of Random Fields

open access: yes, 1995
We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs.
Della Pietra, S.   +2 more
core   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

Home - About - Disclaimer - Privacy