Examples of using Probability distribution in English and their translations into Turkish
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Programming
Probability distribution algorithm?
Let's draw our probability distribution.
And then you have another neon atom and these are--and I'm just drawing the probability distribution.
We now know what a probability distribution is.
With an infinite number of samples,this procedure computes the true joint probability distribution.
Only true for random variable, X, whose probability distribution is the binomial distribution. .
But it's hard to look at these numbers, so actually,let's just use the powers of Excel to graph this probability distribution.
So, the answer is going to be a complete,joint probability distribution over the query variables.
Then the probability distribution of"X"("k") is a Beta distribution with parameters"k" and"n"-"k"+ 1.
What I have just drawn is a binomial probability distribution.
The end-to-end distance probability distribution function of a Gaussian chain is non-zero only for rgt; 0.
The Cauchy distribution is an infinitely divisible probability distribution.
The uniform probability distribution on the space of these bitstrings assigns exactly equal weight 2-n to each string of length n.
Anyway, we have done the work,now we're ready to draw a probability distribution. I'm running out of time.
The probability distribution of the sum of two independent random variables is the convolution of each of their distributions. .
When you first told me you wanted to run an advanced conditional probability distribution application, I was delighted.
And we 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.
Ambartsumian's marvelously elegant formulation of the fluctuations in brightness in the Milky Way:in the limit of infinite optical depth, the probability distribution of the fluctuations in the brightness of the Milky Way is invariant to the location of the observer.
The probability distribution of a random variable is often characterised by a small number of parameters, which also have a practical interpretation.
We can use thiskind of sampling to compute the complete joint probability distribution, or we can use it to compute a value for an individual variable.
The probability distribution"forgets" about the particular probability space used to define X{\displaystyle X} and only records the probabilities of various values of X{\displaystyle X.
Finally, when n or k is large(i.e. ngt; 15 orkgt; 4), the probability distribution of Q can be approximated by that of a chi-squared distribution. .
Such a probability distribution can always be captured by its cumulative distribution function F X( x) P( X≤ x){\displaystyle F_{ X}( x)=\ operatorname{ P}( X\ leq x)} and sometimes also using a probability density function, p X{\displaystyle p_{X.
With respect to computer security with active participants(i.e., attackers), the probability distribution of events are probably not independent nor uniformly distributed, hence, naive Bayesian analysis is unsuitable.
Gauge theories used to model the results of physical experiments engage in: limiting the universe of possible configurations to those consistent with the information used to set up the experiment,and then computing the probability distribution of the possible outcomes that the experiment is designed to measure.
And we saw if you actually figured out the probability distribution for this random variable you get that nice binomialdistribution that looks a little bit like a bell curve.
In a parametric model, the probability distribution function has variable parameters, such as the mean and variance in a normal distribution, or the coefficients for the various exponents of the independent variable in linear regression.
The central limit theorem shows that the probability distribution of the averaged measurements will be closer to a normal distribution than that of individual measurements.
A document is translated according to the probability distribution formula_1 that a string formula_2 in the target language(for example, English) is the translation of a string formula_3 in the source language for example, French.
In the context of a mathematical model, such as a probability distribution, the distinction between variables and parameters was described by Bard as follows: We refer to the relations which supposedly describe a certain physical situation, as a model.