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https://math.answers.com/math-and-arithmetic/How_do_you_calculate_a_continuous_joint_probability_distribution

How do you calculate a continuous joint probability distribution? - Answers

You simply have a function with two (or more) arguments which are continuous. For example, z = p(x,y) would be a surface in 3 dimensions where x and y are the values taken by the two variables, X and Y respectively, and z is the probability associated with them. w = g(x,y,z) would be a hyper-surface in 4-dimensional space and so on.



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How do you calculate a continuous joint probability distribution? - Answers

https://math.answers.com/math-and-arithmetic/How_do_you_calculate_a_continuous_joint_probability_distribution

You simply have a function with two (or more) arguments which are continuous. For example, z = p(x,y) would be a surface in 3 dimensions where x and y are the values taken by the two variables, X and Y respectively, and z is the probability associated with them. w = g(x,y,z) would be a hyper-surface in 4-dimensional space and so on.



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https://math.answers.com/math-and-arithmetic/How_do_you_calculate_a_continuous_joint_probability_distribution

How do you calculate a continuous joint probability distribution? - Answers

You simply have a function with two (or more) arguments which are continuous. For example, z = p(x,y) would be a surface in 3 dimensions where x and y are the values taken by the two variables, X and Y respectively, and z is the probability associated with them. w = g(x,y,z) would be a hyper-surface in 4-dimensional space and so on.

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      You simply have a function with two (or more) arguments which are continuous. For example, z = p(x,y) would be a surface in 3 dimensions where x and y are the values taken by the two variables, X and Y respectively, and z is the probability associated with them. w = g(x,y,z) would be a hyper-surface in 4-dimensional space and so on.

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