Results 201 to 210 of about 672,384 (264)

Joint Probability Distributions

2011
In Chapters 3 and 4, we studied probability models for a single random variable. Many problems in probability and statistics lead to models involving several random variables simultaneously. In this chapter, we first discuss probability models for the joint behavior of several random variables, putting special emphasis on the case in which the ...
Jay L. Devore, Kenneth N. Berk
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Direct Sequential Co-simulation with Joint Probability Distributions

Mathematical Geosciences, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Horta, Ana, Soares, Amílcar
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Discrete Approximations of Joint Probability Distributions

1991
Practical computational limits for stochastic decision analysis models often require that probability distributions have a modest number of points with positive mass. This paper develops an approach to constructing such discrete joint probability distributions which introduces less bias than more commonly used methods.
DeVuyst, Eric, Preckel, Paul V., DeVuyst, Eric, Preckel, Paul V.   +3 more
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Joint Probability Distributions and Their Applications

2014
In Chaps. 2 and 3, we studied probability models for a single random variable. Many problems in probability and statistics lead to models involving several random variables simultaneously. For example, we might consider randomly selecting a college student and defining X = the student’s high school GPA and Y = the student’s college GPA. In this chapter,
Matthew A. Carlton, Jay L. Devore
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Joint probability distribution of winds and waves from wave simulation of 20 years (1989-2008) in Bohai Bay

, 2013
The joint probability distribution of wind speed and significant wave height in the Bohai Bay was investigated by comparing the Gumbel logistic model, the Gumbel-Hougaard (GH) copula function, and the Clayton copula function.
Xiaochi Yang, Qinghe Zhang
semanticscholar   +1 more source

Joint probability analysis of extreme wave heights and surges along China's coasts

Ocean Engineering, 2019
The joint probability of extreme wave height and surge at 9 representatively selected stations along China's coasts are analysed using the results extracted from long-term model simulations over a period of 35 years. Three sampling methods which are used
Yongping Chen, Jiang‐Long Li, S. Pan, Min Gan, Yi Pan, Dongmei Xie, S. Clee   +6 more
semanticscholar   +1 more source

Joint Probability Distributions for Two Random Variables

2020
In the previous two chapters, we discussed univariate random variables and properties of their probability distributions. Many statistical settings, however, involve more than a single variable. In this chapter, we introduce the concept of joint probability distributions for two or more random variables associated with the same experimental setting and
Douglas Wolfe, Grant Schneider
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Joint Fuzzy Probability Distributions

2003
This Chapter generalizes Chapters 4 and 8 to multivariable fuzzy probability distributions. Since the discrete case and the continuous case are similar, just interchange summation and integrals symbols, we only present the continuous case in Section 10.2. Applications are in the next Chapter. The continuous case is based on [1].
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Multi-hazard joint probability distribution model for wind speed, wind direction and rain intensity

Science China Technological Sciences, 2022
Wenzhe Bi, Li Tian, Chao Li, Siyao Zhang
semanticscholar   +1 more source

Pauli Equation for a Joint Tomographic Probability Distribution

Journal of Russian Laser Research, 2015
We introduce the positive vector optical tomogram fully describing the quantum states of spin-1/2 particles without any redundancy. Correspondingly, we introduce the vector symplectic tomogram and vector quasidistributions (Wigner, Husimi, and Glauber–Sudarshan vector functions).
Yakov A. Korennoy, Vladimir I. Man’ko
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