The Joint Probability Approach
a Comparison Study Between the Joint Probability Approach and Time Series Rainfall Modelling in Coastal Detention Pond Analysis (RESEARCH NOTE)
... THE RAINFALL-TIDECORRELATION In this paper a study was undertaken in which the Time Series R ainfall coincided exactly with the act ual tidal e le vat ion at t hat time in that ye a r . So , a n y co r r e la t i o n o f ...
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A joint probability approach using a 1-D hydrodynamic model for estimating high water level frequencies in the Lower Rhine Delta
... 1842 H. Zhong et al.: A joint probability approach using a 1-D hydrodynamic model the future flood defense design. The resistance of the river dikes against flooding is captured in the design water ...
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Use of Joint Probability Methods in Flood Management
... study approach’ and ‘the analytical ...study approach is often adequate. When is the analytical approach appropriate? There is no minimum length of simultaneous sequential data required for use of ...
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Idealized models of the joint probability distribution of wind speeds
... the joint probability distribution of wind speeds that are directly connected to the joint distributions of the horizontal com- ponents of the ...this approach to the bivariate speed dis- ...
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Development of flood probability charts for urban drainage network in coastal areas through a simplified joint assessment approach
... sented approach is therefore an attempt to identify the critical hydraulic states of a sewer system, not only in terms of possi- ble rainfall events, but also jointly considering the conditions of the receiving ...
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Tensor Properties of Joint Probability Densities on Riemannian Parametric Manifold
... of joint probability density compatible with Riemannian parametric manifold has been ...form. Approach to these results facilitated by introducing a binary data matrix that collects the parametric ...
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Updating Failure Probability Of A Welded Joint In Offshore Wind Turbine Substructures
... the probability of failure) of welded steel details can be updated in the case where the fatigue failure is modelled by a fracture mechanics approach and a FAD is used to define the limit state ...The ...
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A model-based approach for the analysis of the calibration of probability judgments
... (1) or (2), although this did not improve the fit of either model here. The lack of a significant effect for the experimental manipulation might appear to contradict the analysis by McGraw et al., but their analysis ...
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CAS: Reciprocal Reinsurance Treaties Under an Optimal and Fair Joint Survival Probability
... This is precisely why we use a refined, objective function, related to the joint survival and profit- ability functions that we optimize in this paper. This approach allows us to avoid these unfair cases. ...
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The use of joint probability analysis to predict flood frequency in estuaries and tidal rivers
... OF JOINT PROBABILITY ANALYSIS TO PREDICT FLOOD FREQUENCY IN ESTUARIES AND TIDAL RIVERS by Christopher John White This thesis investigates the combined influence of river flow, tide and surge on the ...
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Joint probabilistic data association filter with unknown detection probability and clutter rate
... detection probability and clutter ...proposed approach utilises a closed feedback loop structure based on the property of the posterior of the JPDA ...detection probability and clutter rate provided ...
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A Phrase Based Context Dependent Joint Probability Model for Named Entity Translation
... and Joint Source-Channel Model (JSCM) [4], have been made recently to tackle the issue of NE ...frequency-based approach to learn formulation and transformation rules for multi- lingual Named Entities ...an ...
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ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections
... This dependence on the units of measurement of the random quantities can be eliminated by dividing the covariance by the product of the standard deviations of the two random quantitie[r] ...
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Bayesian Approach for Estimating the Probability of
... series data on the penalization cases includes the unit root as well as the constant with the model 435. including the constant and time trend[r] ...
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Lecture 4: Joint probability distributions; covariance; correlation
... the probability of the outcome falling on a segment of the real number line, the joint cumulative probability distribution function indicates the probability of the outcome falling in a region ...
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Prediction of Diabetes using Probability Approach
... Key Words: classification, Bayesian network, attributes, prediction, probability. 1.INTRODUCTION Data mining is the process of discovering correlations, patterns or relationships through large amount of data ...
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A Phrase Based,Joint Probability Model for Statistical Machine Translation
... a joint probability model that can be easily marginalized in order to yield conditional probabil- ity models for both source-to-target and target-to- source machine translation ...learn joint ...
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Restraint of New Enterprise Joint Ventures as a Matter of Unreasonable Probability
... It is evident that these guidelines require examination of all possible anticompetitive effects resulting from venture formation with special em- phasis on foreclosur[r] ...
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Joint probability density functions of random trajectories through a box
... the probability density functions (PDF) through a box of arbitrary dimension ...investigates joint distributions formulated as a function of distance and exit ...
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Phonotactic Probability and the Maori Passive: A Computational Approach
... I used chance as the null hypothesis when it was required for comparison with the network’s perfor- mance, as chance represents the baseline for unpre- dictability. The chance of guessing the output acti- vations ...
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