Examples of using Probability distribution in English and their translations into Polish
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Ecclesiastic
-
Financial
-
Official/political
-
Programming
-
Computer
Probability distribution algorithm?
Let's draw our probability distribution.
This probability distribution, called the Cantor distribution, has no discrete part.
We now know what a probability distribution is.
So a discreet random variable like the ones that we had defined at the beginning of these videos,they have a probability distribution.
Bayes networks define probability distributions over graphs or random variables.
Confidence regions can be defined for any probability distribution.
So now I think you can see where the probability distribution function starts to become a little bit more interesting.
We have done the work,now we're ready to draw a probability distribution.
If I were to draw a probability distribution for-- if I were to find the random variable x is equal to 1 if heads, 0 if tails.
No particular method for the calculation of the probability distribution forecast shall be prescribed.
But it's hard to look at these numbers, so actually,let's just use the powers of Excel to graph this probability distribution.
And with that said, let's talk about probability distributions and expected values.
That is, with an infinite number of samples,this procedure computes the true joint probability distribution.
A row of the stochastic matrix gives the probability distribution for the next position of some particle currently in the state that corresponds to the row.
It's actually a fun exercise to do in Excel andyou could do probability distributions and all that.
And we saw if you actually figured out the probability distribution for this random variable you get that nice binomial distribution that looks a little bit like a bell curve.
It is the simplest modeling and learning tool on probability distribution as of today.
If E and F are events occurring according to a probability distribution, the probability of E given the occurrence of F is the conditional probability of E usually written as PrE/F.
This approach involves the use of range values of output parameters probability distribution is performed.
Where insurance andreinsurance undertakings cannot derive the Solvency Capital Requirement directly from the probability distribution forecast generated by the internal model, the supervisory authorities may allow approximations to be used in the process to calculate the Solvency Capital Requirement, as long as those undertakings can demonstrate to the supervisory authorities that policyholders are provided with a level of protection equivalent to that set out in Article 100.
When you first told me you wanted to run an advanced conditional probability distribution application, I was delighted.
You think that you have been taught things like confidence intervals in an elementary statistical course that would let you do this; but if you really studied carefully, you would know that they don't let you do this.A really principled frequentist can't produce a probability distribution.
A stochastic process is said to be strictly stationary if its probability distribution is completely independent of time.
Deviation of a computed, estimated ormeasured value from the true value, the deviation behaving like a variate in the sense that any particular value occurs as though chosen at random from a probability distribution of such errors.
We can use this kind of sampling to compute the complete joint probability distribution, or we can use it to compute a value for an individual variable.
SpiceLogic Probability Calculator is an easy to use learning tool for various probability distributions.
You know what, get us a layout of the crime scene. Andwe can run an a priori probability distribution search, which won't tell you where the shoe was picked up, but it will give you search zones.
So if you said that x is equal to the number on unfair dice that's described by this probability distribution function.
Accordingly, the Poisson distribution is sometimes called the"law of small numbers" because it is the probability distribution of the number of occurrences of an event that happens rarely but has very many opportunities to happen.