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621“…Many aspects of the diagnostic process, including the psychophysics of signal detection and discrimination, ergonomics, probability theory, decision analysis, factor analysis, causal analysis and more recent developments in judgement and decision-making (JDM), especially including the domain of heuristics and cognitive and affective biases, appear fundamental to a good understanding of it. …”
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623“…The only prerequisites are a three-four semester calculus sequence (including ordinary differential equations, Fourier series, complex variables, and linear algebra), and some probability theory, but basic definitions and facts are covered as needed. …”
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624“…Basic knowledge of probability theory and stochastic calculus is presented in Appendix A. …”
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625por Woyczyński, Wojbor A“…Topics and Features: · Fourier series and transforms—fundamentally important in random signal analysis and processing—are developed from scratch, emphasizing the time-domain vs. frequency-domain duality; · Basic concepts of probability theory, laws of large numbers, the central limit theorem, and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two–three semester calculus sequence; · Computer simulation algorithms of stationary random signals with a given power spectrum density; · Complementary bibliography for readers who wish to pursue the study of random signals in greater depth; · Many diverse examples and end-of-chapter problems and exercises. …”
Publicado 2019
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626por Liu, Sijun, Huang, Zhaosheng, Wu, Qingguang, Huang, Zhangjie, Wu, Lirong, Yan, Wenli, Chang, David Lungpao, Yang, Zheng, Wang, Zongwei“…The diagnostic scoring scheme was established by probability theory and maximum likelihood discriminatory analysis on the basis of epidemiology with the design of self-controlled clinical trial. …”
Publicado 2014
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627por Huertas-Migueláñez, Mercedes, Mora, Daniel, Cano, Isaac, Maier, Dieter, Gomez-Cabrero, David, Lluch-Ariet, Magí, Miralles, Felip“…This simulation environment has been validated with the integration of three models: two deterministic, i.e. based on linear and differential equations, and one probabilistic, i.e., based on probability theory. These models have been selected based on the disease under study in this project, i.e., chronic obstructive pulmonary disease. …”
Publicado 2014
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628“…The same simple probability theory is equally applicable to complex ecosystems, in which biological and environmental diversity stabilizes ecosystems against natural and human-mediated perturbations. …”
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629por Comandante-Lou, Natacha, Khaliq, Mehwish, Venkat, Divya, Manikkam, Mohan, Fallahi-Sichani, Mohammad“…In practice, however, these models are often applied to conventional dose-response curves in which a normalized parameter with a value between zero and one, generally referred to as fraction of cells affected (f(a)), is used to evaluate the efficacy of drugs and their combined interactions. We use basic probability theory, computer simulations, time-lapse live cell microscopy, and single-cell analysis to show that f(a) metrics may bias our assessment of drug efficacy and combination effectiveness. …”
Publicado 2020
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630“…This method uses publicly available data and simple calculations based on probability theory to generate coverage rate values. We first present the conceptual framework and mathematical approach. …”
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631por Basan, Elena, Basan, Alexandr, Nekrasov, Alexey, Fidge, Colin, Ishchukova, Evgeniya, Basyuk, Anatoly, Lesnikov, Alexandr“…We consider the trusted operation of cyber-physical processes based on an assessment of the system’s state and operating mode and present a method for detecting anomalies in the behavior of a cyber-physical system (CPS) based on the analysis of the data transmitted by its sensory subsystem. Probability theory and mathematical statistics are used to process and normalize the data in order to determine whether or not the system is in the correct operating mode and control process state. …”
Publicado 2023
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632por Theobald, Douglas L“…These model-based tests are founded in likelihoodist and Bayesian probability theory, in opposition to classical frequentist null hypothesis tests such as Karlin-Altschul E-values for sequence similarity. …”
Publicado 2011
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633“…In connection with handling uncertainties, it offers higher accuracy than other such knowledge-driven techniques, e.g., fuzzy logic and Bayesian probability theory. Contrarily, Deep Learning is a data-driven technique, which constitutes a part of Artificial Intelligence (AI). …”
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634Publicado 2000Tabla de Contenidos: “…Stroup and Uriel Wilensky -- When using the mean is meaningless : examples from probability theory and cardioloy / Larry Liebovitch ... …”
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635“…Various quantum analogues of the central limit theorem, which is one of the cornerstones of probability theory, are known in the literature. One such analogue, due to Cushen and Hudson, is of particular relevance for quantum optics. …”
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636“…Despite the basic analysis of the model, we further consider the confirmed infected COVID-19 cases documented in Pakistan from March 1, till May 28, 2020 and estimate the model parameters using the least square fitting tools from statistics and probability theory. The results show that the model output is in good agreement with the reported COVID-19 infected cases. …”
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637“…Using computer simulation and probability theory, we aimed to (1) fit an optimal breeding strategy for pyramiding of eight events into the female RP and seven in the male RP, and (2) identify optimal breeding strategies for trait fixation to create a ‘finished’ conversion of each RP homozygous for all events. …”
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639por Roman, Steven“…It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. …”
Publicado 1997
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640por Vasile, Massimiliano“…The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. …”
Publicado 2021
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