scholarly journals Model Prediction using Correlation in Contrast with QQ-Plot

2019 ◽  
Vol 8 (9) ◽  
pp. 2407-2410
Keyword(s):  
Model Selection ◽  
Failure Rate ◽  
Model Prediction ◽  
Correlation Factor ◽  
Free Software ◽  
Simple Task ◽  
Software Products ◽  
Testing Techniques ◽  
Best Fit ◽  
Selection Of

In this paper, we mainly focused on developing reliable, efficient and error free software products by following practices. The software which follows proper testing techniques has less failure rate. To analyze the information or data, it should be understood first that is better to be done with the best suited model. Selection of the best suited model isn’t a simple task, and there are different methods in it. One such method is qq-plot, however, it’s not a quantified measure and time overwhelming process. We proposed a qq-plot and quantified measure “correlation factor” to demonstrate its use to choose the best fit model for information among different models being referred to

An exploratory framework for understanding electronic bill presentment and payment model selection

2000 ◽  
Vol 19 (4) ◽  
pp. 255-264
Author(s):  
Wenhong Luo ◽  
David Cook ◽  
Jimmie Joseph ◽  
Bopana Ganapathy
Keyword(s):  
Model Selection ◽  
Payment Model ◽  
Customer Interaction ◽  
Best Fit

Electronic bill presentment and payment (EBPP) provides an opportunity for firms to decrease their billing costs, while increasing their customer interaction. While many models exist, there is a dearth of information for determining which model would best fit customer characteristics and needs. This article examines the three primary models of EBPP, the characteristics of recurring bills, and customer concerns to develop an exploratory framework for determining which EBPP model a bill generating firm should deploy.

scholarly journals The Lean Six Sigma Algorithm—A Pathway for Decreasing the Continuous Improvement Projects Failure Rate

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 47
Author(s):  
Karam Al-Akel ◽  
Liviu-Onoriu Marian
Keyword(s):  
Failure Rate ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Manufacturing Processes ◽  
Timely Manner ◽  
Improvement Project ◽  
Project Failures ◽  
Specific Order ◽  
Selection Of

Even if Lean and Six Sigma tools are available for large audiences, many of the continuous improvement projects fail due to the lack of a pathway that ensures appropriate results in a timely manner. We would like to address this universal issue by generating, testing and validating an algorithm that improves manufacturing processes in a controlled manner. With a selection of the most valuable set of tools and concepts implemented in a specific order, a guideline for successful project implementation is proposed. Decreasing the overall number of continuous improvement project failures is the main scope of our algorithm and suggested methodology.

Observational Effects on the Food Preferences of Children With Autism Spectrum Disorder

2020 ◽  
pp. 108835762095436
Author(s):  
Joseph H. Cihon ◽  
Mary Jane Weiss ◽  
Julia L. Ferguson ◽  
Justin B. Leaf ◽  
Thomas Zane ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Observational Learning ◽  
Food Preferences ◽  
Autism Spectrum ◽  
Food Selectivity ◽  
Spectrum Disorder ◽  
Simple Task ◽  
Learning Procedure ◽  
Reversal Design ◽  
Selection Of

Research addressing food selectivity has involved intrusive techniques such as escape extinction. It is possible that observational learning methods employed in previous studies could provide the desired results with respect to food selectivity without the need for invasive physical interventions. The purpose of this study was to evaluate the effectiveness of an observational learning procedure on the selection of food items of three children diagnosed with autism spectrum disorder. Baseline consisted of a simple task after which a choice was presented between high- and low-preferred foods. The intervention consisted of observing an adult engage in the same task and selecting the low-preferred food while making favorable comments and engaging with the food in novel ways. The results of a reversal design demonstrated that selection of the low-preferred food only occurred following the introduction of the intervention, and all three participants engaged in flexible responding as a result of the intervention.

scholarly journals Bayesian MAP model selection of chain event graphs

2011 ◽  
Vol 102 (7) ◽  
pp. 1152-1165 ◽  
Author(s):  
G. Freeman ◽  
J.Q. Smith
Keyword(s):  
Model Selection ◽  
Selection Of
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