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What is the link between the characteristic function of a discrete probability distribution and its discrete Fourier transform?
Pandoga
Provided the random variable can take only finitely many, equally spaced values, you can write one in terms of the other. For details see the paper by Ales Cerny entitled "Introduction to Fast Fourier Transform in finance".
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Is the Poisson probability distribution discrete or continuous?
The Poisson distribution is discrete.
What are the Similarities of discrete probability distribution and continuous probability distribution?
They are probability distributions!
When a continuous probability distribution is used to approximate a discrete probability distribution what value is added or subtracted?
Half the discrete unit.
How does a discrete probability distribution differ from a continuous probability distribution?
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
What is discrete probability distribution?
It is a function that gives the probabilities associated with the discrete number of values that a random variable can take.
Is the binominal probability discrete or continuous?
The binomial probability distribution is discrete.
Is the Poisson probability distribution discrete or continuous?
The Poisson distribution is discrete.
What are the Similarities of discrete probability distribution and continuous probability distribution?
They are probability distributions!
Is normal distribution a discrete probability?
No. Normal distribution is a continuous probability.
When a continuous probability distribution is used to approximate a discrete probability distribution what value is added or subtracted?
Half the discrete unit.
What is The mean of a discrete probability distribution is also called the?
The mean of a discrete probability distribution is also called the Expected Value.
What discrete probability distribution can be approximated by a normal dsitribution?
If X has any discrete probability distribution then the sum of a number of observations for X will be normal.
How does a discrete probability distribution differ from a continuous probability distribution?
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
Distinguish between binomial distribution and normal distribution?
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
Does empirical rules always apply to discrete probability distribution?
the empirical rules of probablility applies to the continuous probability distribution
What is the area under a discrete probability distribution function?
1.
What is a Bernoulli distribution?
A Bernoulli distribution is a discrete probability distribution which takes value 1 with success probability p and value 0 with failure probability q = 1 - p.
