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1por S Varadhan, S R“…In the first part of the book, characteristic functions are introduced, followed by the study of weak convergence of probability distributions. …”
Publicado 2001
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2por Rumshiskii, L Z“…The introductory chapters deal with the functions of random variables; continuous random variables; numerical characteristics of probability distributions; center of the probability distribution of a random variable; definition of the law of large numbers; stability of the sample mean and the method of moments…”
Publicado 1965
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3“…Through the analysis of choice probabilities, it is possible to identify two previously postulated features of prospect theory: the inverse S-shaped subjective probability as a function of the objective probability and risk-seeking behavior in the loss domain. …”
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4por Enderle, John“…This is the second in a series of three short books on probability theory and random processes for biomedical engineers. …”
Publicado 2006
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5por Rosenthal, Jeffrey S. (Jeffrey Seth)Tabla de Contenidos: “…The need for measure theory -- Probability triples -- Further probabilistic foundations -- Expected values -- Inequalities and convergence -- Distributions of random variables -- Stochastic processes and gambling games -- Discrete Markov chains -- More probability theorems -- Weak convergence -- Characteristic functions -- Decomposition of probability laws -- Conditional probability and expectation -- Martingales -- General stochastic processes -- Mathematical background.…”
Publicado 2006
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6“…We employ martingales to obtain the conditional characteristic functions (CCFs) of that proxy for the Moran process on the complete bipartite graph. …”
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7por Cohen, Leon“…We use the methods of quantum mechanics to understand some fundamental aspects of standard probability theory. We show that wave functions and operators do appear in standard probability theory. …”
Publicado 2023
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8por Florescu, Ionuţ, 1973-Tabla de Contenidos: “…Probability space -- Probability measure -- Random variables: generalities -- Random variables: the discrete case -- Random variables: the continuous case -- Generating random variables -- Random vectors in Rn -- Characteristic function -- Moment generating function -- Gaussian random vectors -- Convergence types. …”
Publicado 2014
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9por Shorack, Galen R“…For the teaching of probability theory to post graduate statistics students, this is one of the most attractive books available. …”
Publicado 2017
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10por Wang, Liping, Zhang, Xingnan, Wang, Shufang, Salahou, Mohamed Khaled, Fang, Yuanhao“…The joint cumulative probability and the joint return period of drought events were analyzed and the relationship between the drought characteristics and the actual crop drought reduction area was also studied. …”
Publicado 2020
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12“…This paper proposes a new solution to multi-target joint detection, tracking and classification based on labeled random finite set (RFS) and belief function theory. A class dependent multi-model marginal generalized labeled multi-Bernoulli (MGLMB) filter is developed to analytically calculate the multi-target number, state estimates and model probabilities. …”
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13“…BACKGROUND: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. …”
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14por Polansky, Alan M“…Sequences of Real Numbers and Functions Introduction Sequences of Real Numbers Sequences of Real Functions The Taylor Expansion Asymptotic Expansions Inversion of Asymptotic ExpansionsRandom Variables and Characteristic Functions Introduction Probability Measures and Random VariablesSome Important Inequalities Some Limit Theory for EventsGenerating and Characteristic FunctionsConvergence of Random Variables Introduction Convergence in ProbabilityStronger Modes of ConvergenceConvergence of Random Vectors Continuous Mapping Theorems Laws of Large Numbers The Glivenko-Cantelli TheoremSample Momen…”
Publicado 2011
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17“…Moreover, based on the discretized random parameters and finite element method, structural dynamic characteristics analysis is addressed, and the probability distribution density function of the random natural frequency is estimated based on multi-dimensional kernel density estimation method. …”
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18por Lessa, Patrícia S, Caous, Cristofer A, Arantes, Paula R, Amaro, Edson, de Souza, Fernando M Campello“…METHODS: Based on a radiology service routine a decision probability function was determined for each considered group of combination characteristics. …”
Publicado 2008
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19“…It is pointed out that since in these data σ(1)/I(m) is for each set of conditions a statistically constant quantity with a characteristic breadth of scatter σ(σ), it is possible to calculate a "coefficient of internal correlation" r which is a function of the conditions (as: image area, location, wave length of light, structure of image, light-time fraction) and which describes a property of any entire contour. …”
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20por Najmabadi, S, Schliep, K C, Simonsen, S E, Porucznik, C A, Egger, M J, Stanford, J B“…While the impact of sexual intercourse around the time of implantation on the probability of achieving a pregnancy has been discussed by some researchers, there are limited data regarding how sexual intercourse may influence ovulation occurrence and menstrual cycle characteristics in humans. …”
Publicado 2022
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