Comparing Curves Using Additive Models
By Esteban Walker, S. P. Wright. 2002
192 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Mechanical Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a0e50701b0a37d7c2a7889cbe17c873a5c6af992
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Mahmoud A. Mahmoud
- Amirhossein Amiri
- Dennis K. J. Lin
- Jyh-Jen Horng Shiau
- Rassoul Noorossana
- William H. Woodall
- Abbas Saghaei
- Ming-Yen Tsai
In Mechanical Engineering
- Mahmoud A. Mahmoud
- Amirhossein Amiri
- Dennis K. J. Lin
- Jyh-Jen Horng Shiau
- Rassoul Noorossana
- William H. Woodall
- Abbas Saghaei
- Ming-Yen Tsai
In Statistics and Probability
- William H. Woodall
- Changliang Zou
- Amirhossein Amiri
- Rassoul Noorossana
- Jeffrey B. Birch
- Douglas C. Montgomery
- Mahmoud A. Mahmoud
- Mehdi Koosha
Citations in the corpus
- Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression (2009, methodology): “Section 4 presents a case study using the VDP data from Walker and Wright (2002). Finally, Sec.”
- CONTROL CHART FOR MONITORING NONPARAMETRIC PROFILES WITH ARBITRARY DESIGN (2009, background): “Another commonly seen example occurs when observations within different profiles have missing values at different time points (e.g., the vertical-density profile (VDP) data considered in Walker and Wright 2002).”
- Using Control Charts to Monitor Process and Product Quality Profiles (2004, methodology): “As an illustration, consider the data used by Walker and Wright (2002) shown in Figure 2 .”
- Monitoring the Slopes of Linear Profiles (2009, methodology): “Consider the vertical density profile (VDP) data set reported in Walker and Wright ( 2002 ; available online at <ext-link ext-link-type="uri" xmlns:xlink="http://www.”
- Phase I monitoring of generalized linear model-based regression profiles (2015, background): “The relationship between density and depth of boards considered by Walker and Wright [2] and the relationship between torque and speed presented by Amiri et al.”
- Phase II Monitoring of Nonlinear Profiles (2009, methodology): “Walker and Wright (2002) used density profiles of engineered wood boards to illustrate their approach.”
- Statistical monitoring of nonlinear product and process quality profiles (2007, methodology): “The control limits for the T 2 C , T 2 D statistics are calculated from Equations (9) and (10), respectively.”
- A CUSUM-based method for monitoring simple linear profiles (2009, methodology): “Walker and Wright [16] used a nonlinear regression model to represent the vertical density of a particleboard as a function of depth (see Fig.”
- On the Monitoring of Autocorrelated Linear Profiles (2008, background): “Nonlinear profile applications have also been discussed by several authors including Jin and Shi ( 1999 ), Walker and Wright ( 2002 ), Ding et al.”
- On the Monitoring of Linear Profiles (2003, methodology): “Walker and Wright (2002) used additive models to represent the curves of interest in the monitoring of density profiles of particleboard.”
- Parsimonious additive models (2007, unknown): “These models are thus applied in several domains including economics (Smith and Kohn, 1996; Beck and Jackman, 1998), engineering (Walker and Wright, 2002) and public health (Bacchetti and Quale, 2002; Dominici et al.”