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 20 for “"Log-likelihood ratio"”.
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Monitoring Markov Dependent Binary Observations with a Log-Likelihood Ratio Based CUSUM Control Chart
… of a first-order Markov chain to derive a log-likelihood ratio based CUSUM control statistic. Then, we model this CUSUM statistic itself as a Markov chain, which in turn allows for designing a control chart with specified statistical properties: the Markov Binary CUSUM (MBCUSUM) chart. We …
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New Results on Selection Diversity over Fading Channels
… the branch providing the largest magnitude of log-likelihood ratio for binary phase shift keying signals (with and without phase compensation in the selection process) are also investigated. The proposed analytical framework is sufficiently general to study the effects of dissimilar fading …
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Honey Bee (Apis Mellifera) Foraging Preferences are Negatively Correlated with Alfalfa Leafcutting Bee (Megachile Rotundata) Productivity in Virginian Landscapes
… cocoon productivity varied by location (log-likelihood ratio test: χ2 = 311.0, df = 2, p < 0.001), with Winchester as the most productive location (mean cocoon count (95% CI): 26.2 (23.7 to 28.9)), followed by Blacksburg (20.4 (18.2 to 22.9)), and Suffolk (4.4 (3.5 to 5.5)). The abundance …
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Analogic for code estimation and detection
Analogic is a class of analog statistical signal processing circuits that dynamically solve an associated inference problem by locally propagating probabilities in a message-passing algorithm [29] [15]. In this thesis, we study an exemplary embodiment of analogic called Noise-Locked Loop(NLL) which …
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Likelihood-based testing and model selection for hazard functions with unknown change-points
… and reliability modeling. We develop a methodology to test for the alternative of a two-piece hazard against a simpler one-piece hazard. The location of the change is unknown and the tests are irregular due to the presence of the change-point only under the alternative hypothesis. Our approach …
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Integrate template matching and statistical modeling for continuous speech recognition
… of speech templates. The local distances of log likelihood ratio and Kullback-Leibler divergence are proposed for dynamic time warping based template matching. In order to reduce computational complexity and storage space, we propose methods of minimum distance template selection and maximum …
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THE INFLUENCE OF ENVIRONMENTAL VARIABLES ON THE HEIGHT GROWTH OF LOBLOLLY PINE (Pinus taeda) IN THE WESTERN GULF
… precipitation slowed tree height growth. The log-likelihood ratio tests showed that all three models had significantly smaller AIC than the base model. Compared to the base model, the three models also had larger model coefficient of determination (R<sup>2</sup>), smaller root mean squared …
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Comparison of Variety Performance Trials and Farm Level Yield Gains of Wheat Varieties Adopted in Saskatchewan
… results using the F-test. Finally, using the Log-likelihood Ratio test we find that the performance of different wheat varieties varies significantly across risk zones in Saskatchewan. Producers must consider the unique characteristics of their region, market conditions, and risk factors when …
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Performing Network Level Crash Evaluation Using Skid Resistance
… the Akaike Information Criterion (AIC) and Log-Likelihood Ratio Tests were performed. By mathematically combining the information acquired from the negative binomial regression models and the information contained in the crash counts, the parameters of each network's true average crash risks …
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On the Ethics and Linguistic Impacts of Using the Bible as Training Data for Yucatec Maya-to-Spanish Machine Translation
… and a Bible n-gram contamination analysis using log-likelihood ratio statistics. Results show that increasing the proportion of Bible training data consistently degraded translation quality across both models. For TowerInstruct-7B-v.02, this degradation was strictly monotonic. For T5S, the …
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A likelihood ratio analysis of digital phase modulation
Although the likelihood ratio forms the theoretical basis for maximum likelihood (ML) detection in coherent digital communication systems, it has not been applied directly to the problem of designing good trellis-coded modulation (TOM) schemes. The remarkably simple optimal receiver of minimum …
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Testing Measurement Invariance in Multilevel Data with Unequal Cross-Level Factor Structures
… for multiple group comparisons in psychological tests (Schmitt & Kuljanin, 2008). With the prevalence of multilevel data in educational research (e.g., students nested within schools), establishing MI across multiple groups or waves of nested data has brought increasing attention. Two …
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Consumer Choice of Hotel Experiences: The Effects of Cognitive, Affective, and Sensory Attributes
… predict consumer hotel choice using multinomial logit (MNL) and random parameter (or mixed) logit (RPL) models. For choice experiments, the main objectives are to determine the choice attributes and attribute levels to be used for the choice modeling and to create an optimal choice design. I used …
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Advanced Threat Intelligence: Interpretation of Anomalous Behavior in Ubiquitous Kernel Processes
… mining process using a score based on the log likelihood ratio (LLR). For transparent anomaly detection within a corpus of associated events, the author utilizes star structures, a bipartite representation designed to approximate the edit distance between graphs. Templates describing …
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Distributed Turbo Product Coding Techniques Over Cooperative Communication Systems
… on EBCH component codes. The relay generates Log-Likelihood Ratio (LLR) values for the decoded rows are used to construct a product code by re-encoding the matrix along the columns using a novel soft block encoding technique to obtain soft parity bits with different reliabilities that can be …
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Semiparametric Methods for the Generalized Linear Model
… a semiparametric generalized linear model with a log-concave random component (SGLM-L). In this model, the estimate of the distribution of the random component has a nonparametric form while the estimate of the systematic part has a parametric form. In the second part of this dissertation, we have …
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Application of integer quadratic programming in detection of high-dimensional wireless systems
… show how the soft information, in terms of the Log Likelihood Ratio (LLR), can be extracted from the QP detector. Further, the procedure for incorporating the a-priori information that is passed from the channel decoder to the QP detector is developed. Simulation results are presented …
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On a turbo decoder design for low power dissipation
… the maximum a posteriori (MAP) or the maximum likelihood (ML) decoding algorithm. While the MAP algorithm offers better performance than the ML algorithm, the computation is complex and not suitable for hardware implementation. The log-MAP algorithm, which performs necessary computations in the …
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Essays on the Modelling of S&P 500 Volatility
… that option prices are not consistent with the rational expectations under a mean-reverting volatility process. In addition, skewness premiums results show that the degrees of anomalies in the S&P 500 options market have been gradually worsening since around 1987. As correlation may be …
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Base intelectual de la fisioterapia a través del análisis de cocitación de documentos (1983-2009)
… citantes mediante los algoritmos tf*idf y log-likelihood ratio y se codificaron según un sistema de clasificación con cuatro dimensiones (área de especialidad, intención principal, patología e intervención). Finalmente se generó una visualización del grafo de la red fusionada de todos los …