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162 results for “Bayes”
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Research ArticleOpen accessIn the abstractDetermination of Predictors Associated With HIV/AIDS Patients on ART Using Accelerated Failure Time Model for Interval Censored Survival DataPrafulla Kumar Swain, Gurprit GroverThe main objective of this paper is to identify the independent predictors affecting the survival of HIV/AIDS infected patients on Antiretroviral Therapy (ART), an interval censored event time outcome. A total of 2052 HIV/AIDS patients, who were on ART at Ram ManoharLohia Hospital, New Delhi, India, during the period of April 2004 to December 2010, were included for analysis. Accelerated … …Current Research in Biostatistics, Vol. 6, Issue 1 · 12 Jan 2016 · 8,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPACT OF DEREGULATION OF THE JAMAICA MOBILE PHONE MARKET ON CALLING RATESAbdullahi O. AbdulkadriDeregulation of the telecommunications industry has led to a phenomenal growth in mobile phone service subscription in Jamaica with penetration rate reaching more than 100% within a decade of the start of deregulation. Consumers have benefited with significant cuts in rates for mobile phone service following the entry of new service providers. This study models the competition among old and … …American Journal of Economics and Business Administration, Vol. 6, Issue 2 · 26 Aug 2014 · 7,697 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECASTHeri Kuswanto, Irhamah, Laylia AfidahLong memory and nonlinearity have been proven as two models that are easily to be mistaken. In other words, nonlinearity is a strong candidate of spurious long memory by introducing a certain degree of fractional integration that lies in the region of long memory. Indeed, nonlinear process belongs to short memory with zero integration order. The idea of the forecast … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 7 Jul 2014 · 6,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractSUPER RESOLUTION FOR EGYPTSAT-1 IMAGES WITH ERRATIC SHIFTA. H. Nasr, Gh.S. El-Tawel, A. K. HelmyThe key point of the Super-Resolution (SR) process is the accurate registration of the low resolution images, i.e., accurate measuring of the fixed shift between them, to obtain high resolution image. Due to certain malfunction, some Egyptsat-1 images have inconsistent sub-pixel shift. Therefore, in this study we propose a methodology to use this kind of shift for reconstructing a SR … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,945 accessesView PDFCite
Research ArticleOpen accessIn the abstractAmeliorate Fuzzy C-Means: An Ameliorate Fuzzy C-Means Clustering Algorithm for CT-Lung Image SegmentationJ. Bridget Nirmala, S. GowriEffective and efficient image segmentation acts as a preliminary stage for the computer-aided diagnosis of medical images. For image segmentation, many FCM-based clustering techniques have been proposed. Regrettably, the existing FCM technique does not generate accurate and standardized segmentation results. This is due to the noise present in the image as well as the random initialization of membership values for … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 1 Oct 2013 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENERALIZED LINEAR MIXED MODELS WITH SPATIAL RANDOM EFFECTS FOR SPATIO-TEMPORAL DATA: AN APPLICATION TO DENGUE FEVER MAPPINGKrisada Lekdee, Lily IngsrisawangThe Generalized Linear Mixed Models (GLMMs) with spatial random effects for spatio-temporal data are proposed. A hierarchical Bayesian method is used for parameter estimation. The random effects are assumed to be normally distributed and the spatial random effects are assumed to be proper Conditional Autoregressive (CAR) models. The proposed models are applied to Dengue fever data in Northern Thailand, including … …Journal of Mathematics and Statistics, Vol. 9, Issue 2 · 13 May 2013 · 8,070 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hidden Genetic Layer Based Neural Network for Mobility PredictionL. Velmurugan, P. ThangarajProblem statement: With numerous wireless devices increasingly connecting to the internet, WLAN infrastructure planning becomes very important to maintain desired quality of services. For maintaining desired quality of service it is desirable to know the movement pattern of users. Mobility prediction involves finding the mobile device's next access point as it moves through the wireless network. Hidden Markov models and … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Channel Equalization Using Multiplicative Neural Network for Rayleigh Faded ChannelP. Sivakumar, N. Chithra, S. N. Sivanandam, M. RajaramProblem statement: Digital transmission over band-limited communication channel largely suffers from ISIS and various noise sources. The presence of ISI and noise causes bit errors in the received signal. Equalization is necessary at the receiver to overcome these channel impairment to recover the original transmitted sequence. Traditionally equalization is considered as equivalent to inverse filtering and implemented using linear-perform under … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 6,938 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Porcine Mitochondrial Transcription Factor a Gene: Molecular Characterization, Radiation Hybrid Mapping and Genetic Diversity among 12 Pig BreedsTanja Kunej, Xiao-Lin Wu, Jennifer J. Michal et al.Problem statement: Mitochondrial transcription factor A (TFAM) is a nucleus-encoded protein that is a key activator of mitochondrial transcription as well as a major participant in mitochondrial genome replication. Genomic characterization of the porcine TFAM gene is, therefore, necessary to determine its involvement in regulation of fat depots and meat quality traits in pigs. Approach: Genomic DNA sequence was determined … …American Journal of Animal and Veterinary Sciences, Vol. 4, Issue 4 · 31 Dec 2009 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractProgressive Content-Sensitive Data Retrieval in Sensor NetworksBo Yang, Manohar MareboyanaProblem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,849 accessesView PDFCite