Works (7)

Updated: July 5th, 2023 16:03

2018 article

Applications of Psychological Science for Actionable Analytics

ESEC/FSE'18: PROCEEDINGS OF THE 2018 26TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 456–467.

By: D. Chen n, W. Fu n, R. Krishna n & T. Menzies n

author keywords: Decision trees; heuristics; software analytics; psychological science; empirical studies; defect prediction
TL;DR: Assessment of Fast-and-Frugal Trees for software analytics finds that FFTs are remarkably effective in that their models are very succinct (5 lines or less describing a binary decision tree) while also outperforming result from very recent, top-level, conference papers. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: March 25, 2019

2005 journal article

Asymptotic distributions of semiparametric maximum likelihood estimators with estimating equations for group-censored data

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 47(2), 173–192.

By: D. Chen n, J. Lu n & S. Lin n

author keywords: asymptotics; generalized estimating equations; likelihood ratio test; maximum likelihood estimation
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2002 journal article

Semi-parametric modelling and likelihood estimation with estimating equations

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 44(2), 193–212.

By: J. Lu n, D. Chen n & N. Gan n

author keywords: accelerated life test model; generalized estimating equations; quasi-likelihood; regression; semi-parametric maximum likelihood estimation
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2001 journal article

Optimum percentile estimating equations for nonlinear random coefficient models

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 97(2), 275–292.

By: D. Chen*, J. Lu*, X. Huo* & M. Yin n

author keywords: extended least squares; nonlinear random coefficient model; non-regular estimating equations; quasi-likelihood
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

1998 journal article

A new device design methodology for manufacturability

IEEE Transactions on Electron Devices, 45(3), 634–642.

By: J. Lu n, W. Holton n, J. Fenner n, S. Williams n, K. Kim n, A. Hartford n, D. Chen n, K. Roze n, M. Littlejohn n

TL;DR: The goals for DFM in TCAD simulations are defined and a formal procedure for achieving an optimized result (ODFM) is outlined and new design of experiments (DOE), weighted least squares modeling and multiple-objective mean-variance optimization methods are developed as significant parts of the new ODFM procedure. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, Crossref
Added: August 6, 2018

1998 journal article

Asymptotic properties of maximum likelihood estimates for a bivariate exponential distribution and mixed censored data

METRIKA, 48(2), 109–125.

By: D. Chen*, J. Lu*, J. Hughes-Oliver* & C. Li*

author keywords: asymptotic theory; Marshall-Olkin distribution; concomitants of order statistics; life-testing; maximum likelihood estimation
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

1998 journal article

Parametric nonstationary correlation models

STATISTICS & PROBABILITY LETTERS, 40(3), 267–278.

author keywords: anisotropy; point source; pollution monitoring; positive semidefinite kernel; positive semidefinite matrix; semi-conductor fabrication
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.