Výsledky vyhledávání - data collection and data estimation methodology; computer progress*

Progress in the R ecosystem for representing and handling spatial data Autor Bivand, Roger S.

“… Springer, New York, 2013), it is important to present the progress now occurring in representation of spatial data, and possible consequences for spatial data handling and the statistical analysis of spatial data…”
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Mind the Gap: Analyzing the Impact of Data Gap in Millennium Development Goals’ (MDGs) Indicators on the Progress toward MDGs Autor Jacob, Arun

“…•The paper analyzes data gaps in the MDG performance monitoring.•Paper finds that higher data gaps reduced the probability of MDG success…”
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The UK Administrative Data Research Network: Its Genesis, Progress, and Future Autor ELIAS, PETER

“…This article describes the ways in which UK administrative data are becoming more widely available for research…”
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Human pose estimation using deep learning: review, methodologies, progress and future research directions Autor Kumar, Pranjal, Chauhan, Siddhartha, Awasthi, Lalit Kumar

“… This review focuses on the key aspects of deep learning in the development of both 2D & 3D HPE. It provides detailed information on the variety of databases, performance metrics and human body models incorporated for implementing HPE methodologies…”
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Data science for measuring regional competitiveness Autor Alaimo, Leonardo S., Annoni, Paola, D’Urso, Pierpaolo, De Giovanni, Livia

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RGB image-based method for phenotyping rust disease progress in pea leaves using R Autor Osuna-Caballero, Salvador, Olivoto, Tiago, Jiménez-Vaquero, Manuel A., Rubiales, Diego, Rispail, Nicolas

“… This study aimed to develop an automated image analysis pipeline for accurately calculating rust disease progression parameters under controlled conditions, ensuring reliable data collection…”
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Autologistic network model on binary data for disease progression study Autor Shin, Yei Eun, Sang, Huiyan, Liu, Dawei, Ferguson, Toby A., Song, Peter X. K.

“…This paper focuses on analysis of spatiotemporal binary data with absorbing states…”
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On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample Autor Kohansal, Akram

“…Based on progressively Type-II censored samples, this paper deals with the estimation of multicomponent stress-strength reliability by assuming the Kumaraswamy distribution…”
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Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data Autor Dutta, Subhankar, Dey, Sanku, Kayal, Suchandan

“…To reduce total test time and increase the efficiency of statistical analysis of a life-testing experiment adaptive progressive Type-II censoring scheme has been proposed…”
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Bayesian and E-Bayesian Reliability Analysis of Improved Adaptive Type-II Progressive Censored Inverted Lindley Data Autor Elbatal, Ibrahim, Nassar, Mazen, Ben Ghorbal, Anis, Sabry Gad Diab, Lamiaa, Elshahhat, Ahmed

“…Lately, a novel improved adaptive progressive censored strategy of Type-II was developed that can ensure that the experiment duration does not overextend a specific span…”
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Nonparametric Estimation of Transition Probabilities for a General Progressive Multi-State Model Under Cross-Sectional Sampling Autor de Uña-Álvarez, Jacobo, Mandel, Micha

“…Nonparametric estimation of the transition probability matrix of a progressive multi-state model is considered under cross-sectional sampling…”
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Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network (IGP-GCN) for multi-person pose estimation Autor Challapalli, Jhansi Rani, Devarakonda, Nagaraju

“…Multi-person pose estimation (MPE) remains a significant and intricate issue in computer vision…”
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Application of computer vision for construction progress monitoring: a qualitative investigation Autor Moragane, H.P.M.N.L.B., Perera, B.A.K.S., Palihakkara, Asha Dulanjalie, Ekanayake, Biyanka

“…; data acquisition, information retrieval, verification, progress estimation and comparison, visualisation of the results and schedule updating…”
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Maximum Likelihood Estimation of the Negative Binomial Dispersion Parameter for Highly Overdispersed Data, with Applications to Infectious Diseases Autor Lloyd-Smith, James O.

“…The negative binomial distribution is used commonly throughout biology as a model for overdispersed count data, with attention focused on the negative binomial dispersion parameter, k…”
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Reliability Analysis and Applications of Generalized Type-II Progressively Hybrid Maxwell–Boltzmann Censored Data Autor Elshahhat, Ahmed, Abo-Kasem, Osama E., Mohammed, Heba S.

“…–Boltzmann distribution in the presence of generalized progressive Type-II hybrid censored data by making use of the likelihood and Bayesian inferential methods…”
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The definition of low wall shear stress and its effect on plaque progression estimation in human coronary arteries Autor Hartman, Eline M. J., De Nisco, Giuseppe, Gijsen, Frank J. H., Korteland, Suze-Anne, van der Steen, Anton F. W., Daemen, Joost, Wentzel, Jolanda J.

“… In this study, we used four methodologies to allocate low, mid and high WSS in one dataset of human coronary arteries and investigated the predictive power of low WSS for plaque progression…”
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Bivariate Length-Biased Exponential Distribution under Progressive Type-II Censoring: Incorporating Random Removal and Applications to Industrial and Computer Science Data Autor Fayomi, Aisha, Almetwally, Ehab M., Qura, Maha E.

“…In this paper, we address the analysis of bivariate lifetime data from a length-biased exponential distribution observed under Type II progressive censoring with random removals, where the number…”
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A probabilistic method for leveraging functional annotations to enhance estimation of the temporal order of pathway mutations during carcinogenesis Autor Wang, Menghan, Yu, Tianxin, Liu, Jinpeng, Chen, Li, Stromberg, Arnold J., Villano, John L., Arnold, Susanne M., Liu, Chunming, Wang, Chi

“… of mutations and thus are likely to be obscured by the presence of passenger mutations that do not contribute to cancer progression…”
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Analysis of progressive type-II censored gamma distribution Autor Dey, Sanku, Elshahhat, Ahmed, Nassar, Mazen

“…The aim of this study is to describe the both frequentist and Bayesian parametric estimation methods for the gamma distribution using progressive Type II censoring data…”
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Semiparametric Time-to-Event Modeling in the Presence of a Latent Progression Event Autor Rice, John D., Tsodikov, Alex

“…In cancer research, interest frequently centers on factors influencing a latent event that must precede a terminal event. In practice it is often impossible to…”
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