Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 57 for “"Binary data."”.
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Techniques for handling clustered binary data
… much research has gone into the analysis of data arising from these studies. It is erroneous to treat clustered data, where observations within a cluster are correlated with each other, as one would treat independent data. It has been found that point estimates are not as greatly affected by …
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Fitting a Multidimensional Component Model to Binary Data
Made available in DSpace on 2014-12-08T23:01:52Z (GMT). No. of bitstreams: 1 6910751.pdf: 4297242 bytes, checksum: 3f2a80776a2b3c574807bfce09411d7e (MD5) Previous issue date: 1968
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D-Vine Pair-Copula Models for Longitudinal Binary Data
<p>Dependent longitudinal binary data are prevalent in a wide range of scientific disciplines, including healthcare and medicine. A popular method for analyzing such data is the multivariate probit (MP) model. The motivation for this dissertation stems from the fact that the MP model fails even the …
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Analysis of Models for Longitudinal and Clustered Binary Data
… analysis of longitudinal and clustered binary data. Such data consists of observations on a dichotomous response variable generated from multiple time or cluster points, that exhibit either decaying correlation or equi-correlated dependence. The current literature addresses modeling the …
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Analyzing Incomplete Longitudinal Binary Data Using Approximate Likelihood Methods
… outcome variable complicates the longitudinal data analysis, as it is necessary to incorporate the missing data model into the observed data likelihood function. We investigate two approximate likelihood methods, bivariate pseudo-likelihood (BPL) of Sinha et al. (2011) and independent …
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Dimensional Analysis of Binary Data: An Appraisal of the Mmpi
Made available in DSpace on 2014-12-08T23:01:50Z (GMT). No. of bitstreams: 1 6910665.pdf: 7020792 bytes, checksum: 5f351a7ea62227bd006e4428267984da (MD5) Previous issue date: 1968
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Comparison of Intracluster Correlation Coefficient Estimates For Binary Variables
… estimators of the intracluster correlation for binary data. The comparisons were performed in an extensive simulation study. The correlated binary data, assuming an exchangeable correlation structure were simulated incorporating variations of overall event rate, event rate variation, the number …
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Design and Investigation of Genetic Algorithmic and Reinforcement Learning Approaches to Wire Crossing Reductions for pNML Devices
… an emerging post-CMOS technology which encodes binary data in the polarization of single-domain nanomagnets and performs operations via fringing field interactions. Currently, there is no complete top-down workflow for pNML. Researchers must instead simultaneously handle place-and-route, timing, …
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Longitudinal principal components analysis for binary and continuous data
Large-scale data or big data is an enormously popular word in the data science and statistics communities. These datasets are often collected over periods of time - at hourly and weekly rates - with the help of technological advancements in physical and cloud-based storage. The information stored …
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Application of the EM Algorithm for Mixture Models
… of logistic distributions to longitudinal binary data. For performance comparison, we consider full maximization algo rithms (e.g. SAS procedure PROC TRAJ) and standard EM, as well as two other EM-based algorithms for speeding up convergence. The simulation study shows that our EM methods …
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MDEA : malware detection with evolutionary adversarial learning
… These applications take in raw or processed binary data to feed neural network models to classify benign or malicious files. Even though this approach has proved effective against dynamic changes, such as encrypting, obfuscating and packing techniques, it is vulnerable to specific evasion …
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Inference from binary gene expression data
… experiment. Analysing such large dimensional data is a challenge which attracts researchers from many different fields and machine learning is one of them. However, the biological properties of mRNA such as its low stability, measurements being taken from a population of cells rather than from …
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H.264 Encoded Digital Video Protection using Temporal Redundancy LSB Steganography
… are used to steganographically embed unique binary data within the digital video stream, this results in a unique embedding strategy within each video stream while also utilising areas that reduce the potential data loss experienced during the H.264 encoding process. <br/><br/>The …
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Supervisory control of an autonomous underwater vehicle using an acoustic communication link
… Underwater Vehicles that relies on a very-low-data-rate acoustic communication link. A human supervisor communicates with the AUV over a combination radio/acoustic network. The supervisor radios commands from shore to data repeater nodes moored at strategic locations on the ocean surface. …
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Knowledge Management Enviroments for High Throughput Biology
With the growing complexity and scale of data sets in computational biology and chemoin- formatics, there is a need for novel knowledge processing tools and platforms. This thesis describes a newly developed knowledge processing platform that is different in its emphasis on architecture, …
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Code-division multiplexing
… signal is a linear superposition of many binary orthogonal waveforms. The information set is also binary. Each orthogonal waveform is generated by modulating a periodic stream of finite-length chip pulses with a receiver-specific signature code that is derived from a special class of …
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A Novel Chirp Slope Keying Modulation Scheme for Underwater Communication
… begins with modulating a chirp's slope by random binary data with a linear-down-slope chirp representing a 0, and a linear-up-slope chirp representing a 1. Each received symbol is demodulated by multiplying it with the exact linear-up-slope chirp and then integrating over a whole period (i.e., …
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