ENBIS-15 in Prague6 – 10 September 2015; Prague, Czech Republic Abstract submission: 1 February – 3 July 2015
The following abstracts have been accepted for this event:
Scheduling Preventive Maintenance on a Wind Turbine Using Statistical Process Control
Authors: A. Di Bucchianico (Eindhoven University of Technology), S. Kapodistria (Eindhoven University of Technology)
Primary area of focus / application: Reliability
Secondary area of focus / application: Process
Keywords: Preventive maintenance, Statistical Process Control, Wind turbine
Submitted at 1-May-2015 15:38 by Alessandro Di Bucchianico
Accepted (view paper)
ENBIS Live - Open Problem Session
Authors: Christian Ritter (Université Catholique de Louvain)
Primary area of focus / application: Other: Open Problem Session
Keywords: Industrial statistics, Consulting, Open problems
Submitted at 3-May-2015 12:16 by Christian Ritter
Would you like to help others who have such problems?
Then don't miss the ENBIS live session.
During the session, two or three participants will briefly describe their burning problems. I will help in formulating, asking stimulating questions, and summarizing the answers. Participants who attended a similar session at ENBIS2014 in Linz enjoyed it a lot. They said that by participating either as a presenter or in the audience, they got much deeper insights into the problems than by listening to usual talks.
If you would like to be one of the persons presenting a problem, it would be nice if you could contact me (firstname.lastname@example.org) before the conference. If you just want to be part of the audience just come but then you must participate actively in the discussion.
A New Model for Duration and Segmentation of Maintenance Activities in Semiconductor Fabs
Authors: Diamanta Benson-Karhi (The Open University of Israel), Itai Regev (Intel)
Primary area of focus / application: Reliability
Keywords: Availability, Downtime, Preventive maintenance, Productivity, Segmentation, Semi-conductor
Submitted at 4-May-2015 09:33 by Diamanta Benson-Karhi
Flexible Econometric Modelling Based on Sparse Finite Mixtures
Authors: Sylvia Fruhwirth-Schnatter (WU Vienna University of Economics and Business)
Primary area of focus / application: Other:
Secondary area of focus / application: Other:
Keywords: Finite mixtures, Sparsity, Selecting number of compenents, Identification
Submitted at 4-May-2015 11:39 by Sylvia Fruhwirth-Schnatter
This talk investigates the concept of sparse finite mixture modelling, which is based on a shrinkage prior on the weights that removes all redundant components automatically. The choice of the hyperparameters of this prior is based on recent asymptotic results by Rousseau and Mengersen (2011). The sparsity prior provides an automatic tool to select the number K of components and avoids the cumbersome computation of the marginal likelihood for each K.
Furthermore, it is shown how the label switching problem could be solved using the framework of sparse finite mixtures. In contrast to infinite mixtures, this allows identification of component-specific parameters and classification.
This approach is applied to various issues in statistical modelling such as choosing the number of latent classes in a latent class model, model-based clustering based on finite mixtures of normals, switching regression models, and choosing a flexible link function in binary data modelling. Finally, the sparse finite mixture approach is compared to infinite mixtures based on Dirichlet process priors.
Projection Properties of Blocked Non-Regular Designs
Authors: Shahrukh Hussain (Norwegian University of Science and Technology, Department of Mathematics), John Sølve Tyssedal (Norwegian University of Science and Technology, Department of Mathematics)
Primary area of focus / application: Design and analysis of experiments
Secondary area of focus / application: Design and analysis of experiments
Keywords: Non-regular designs, Screening, Blocking, Projectivity
Submitted at 4-May-2015 14:52 by Shahrukh Hussain
Teaching Statistical Thinking - A MOOC Supported by JMP
Authors: Volker Kraft (JMP)
Primary area of focus / application: Other: ENBIS Goes MOOC (by Jean-Michel Poggi)
Keywords: MOOC, E-Learning, Distance-learning, Teaching statistics
Submitted at 11-May-2015 21:10 by Volker Kraft
This MOOC is designed with high school teachers in mind, but it should also enable any global citizen to understand the basic descriptive statistics presented by the media from breakfast to bedtime. Part I of this course covers descriptive statistics for a single variable and for the relationship between two variables. The course is organized around "core principle videos" that discuss the statistical content, along with satellite videos discussing resources, pedagogy, and the analysis of data using JMP. The course is taught in three units over five weeks, with more than 5000 registrants who attended the first
class. Updates and extensions of this MOOC are planned for the future.
We will share and discuss the experience from this course.