Data weighting procedures in sample surveys

Ünüvar, Tahir Gökhan


Data-driven Threshold Selection for Direct Path Dominance Test
Olgun, Orhun; Hacıhabiboğlu, Hüseyin (2019-09-09)
Direction-of-arrival estimation methods, when used with recordings made in enclosures are negatively affected by the reflections and reverberation in that enclosure. Direct path dominance (DPD) test was proposed as a pre-processing stage which can provide better DOA estimates by selecting only the time-frequency bins with a single dominant sound source component prior to DOA estimation, thereby reducing the total computational cost. DPD test involves selecting bins for which the ratio of the two largest sin...
Data quality assessment in credit risk management by customized total data quality management approach
Güneş, Muhammed İlyas; Çetin, Yasemin; Bilgen, Semih; Department of Information Systems (2016)
As the size and complexity of financial institutions, more specifically banks, grow, the amount of data that information systems (IS) of such institutions need to handle also increases. This leads to the emergence of a variety of data quality (DQ) problems. Due to the possible economic losses due to such DQ issues, banks need to assure quality of their data via data quality assessment (DQA) techniques. As DQ related problems diversify and get complicated, the requirement for contemporary data quality assess...
Data digitization techniques used in the analysis of free oscillation of human lower limb
Yerli, G; Orcan, Y; Akkas, N (1998-08-21)
In biomechanics, the ability to manipulate the video data of the desired human motion using computer vision is as important as obtaining the numerical solutions from mathematical modeling. This paper covers both of these requirements equally. The proposed model presents the concept of data digitizing of recorded video films of free in vivo oscillation of human lower limb. The analysis is carried out using an interactive Graphical User Interface (GUI) object oriented analyzing software.
Data Imputation Through the Identification of Local Anomalies
Ozkan, Huseyin; Pelvan, Ozgun Soner; Kozat, Suleyman S. (Institute of Electrical and Electronics Engineers (IEEE), 2015-10)
We introduce a comprehensive and statistical framework in a model free setting for a complete treatment of localized data corruptions due to severe noise sources, e.g., an occluder in the case of a visual recording. Within this framework, we propose: 1) a novel algorithm to efficiently separate, i.e., detect and localize, possible corruptions from a given suspicious data instance and 2) a maximum a posteriori estimator to impute the corrupted data. As a generalization to Euclidean distance, we also propose ...
Data mining for rule discovery in relatonal databases
Toprak, Serkan; Alpaslan, Ferda Nur; Department of Computer Engineering (2004)
Data is mostly stored in relational databases today. However, most data mining algorithms are not capable of working on data stored in relational databases directly. Instead they require a preprocessing step for transforming relational data into algorithm specified form. Moreover, several data mining algorithms provide solutions for single relations only. Therefore, valuable hidden knowledge involving multiple relations remains undiscovered. In this thesis, an implementation is developed for discovering mul...
Citation Formats
T. G. Ünüvar, “Data weighting procedures in sample surveys,” Middle East Technical University, 1997.