eventscribe

The eventScribe Educational Program Planner system gives you access to information on sessions, special events, and the conference venue. Take a look at hotel maps to familiarize yourself with the venue, read biographies of our plenary speakers, and download handouts and resources for your sessions.

close this panel
‹‹ Go Back

Silvia Irin Sharna

Department of Computer Science, Ball State University



‹‹ Go Back

Mian Arif Shams Adnan

Department of Computer Science, Ball State University



‹‹ Go Back

Rahmatullah Imon

Department of Mathematical Sciences, Ball State University



‹‹ Go Back

Please enter your access key

The asset you are trying to access is locked for premium users. Please enter your access key to unlock.


Email This Presentation:

From:

To:

Subject:

Body:

←Back IconGems-Print

240 – Computationally Intensive Methods for Estimation and Inference

A Missing Technique for Estimating Univariate Multiple Missing Values: An Advanced Resampling Method for Correlated Observations

Sponsor: Section on Statistical Computing
Keywords: Average Log Likelihood Function, Combination, Dummy Missing Value, Likelihood Rate, Simple Random Sample

Silvia Irin Sharna

Department of Computer Science, Ball State University

Mian Arif Shams Adnan

Department of Computer Science, Ball State University

Rahmatullah Imon

Department of Mathematical Sciences, Ball State University

Since a missing value resembles not only an unknown data of an unknown probability distribution but also their unknown characteristics, it is better to construct a basket of characteristics based on assumed missing values. The missing technique, as demonstrated by Sharna et al (2016), is a kind of check and balance method for estimating a missing value. In this paper we offer an extended version of the iterative estimation method for more than one missing value. This paper also demonstrates a resampling method for generating 1 or 2 correlated observations from the same distribution from where the original sample is drawn.

"eventScribe", the eventScribe logo, "CadmiumCD", and the CadmiumCD logo are trademarks of CadmiumCD LLC, and may not be copied, imitated or used, in whole or in part, without prior written permission from CadmiumCD. The appearance of these proceedings, customized graphics that are unique to these proceedings, and customized scripts are the service mark, trademark and/or trade dress of CadmiumCD and may not be copied, imitated or used, in whole or in part, without prior written notification. All other trademarks, slogans, company names or logos are the property of their respective owners. Reference to any products, services, processes or other information, by trade name, trademark, manufacturer, owner, or otherwise does not constitute or imply endorsement, sponsorship, or recommendation thereof by CadmiumCD.

As a user you may provide CadmiumCD with feedback. Any ideas or suggestions you provide through any feedback mechanisms on these proceedings may be used by CadmiumCD, at our sole discretion, including future modifications to the eventScribe product. You hereby grant to CadmiumCD and our assigns a perpetual, worldwide, fully transferable, sublicensable, irrevocable, royalty free license to use, reproduce, modify, create derivative works from, distribute, and display the feedback in any manner and for any purpose.

© 2017 CadmiumCD