Examples of using Binomial in English and their translations into Serbian
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Cyrillic
We've been dealing with squaring a binomial.
But when you square a binomial, what happened?
And the first is just squaring a binomial.
For negative binomial, the weights are μ/(1+ κμ).
This is a multiplication of this binomial times itself.
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Example of a binomial heap containing 13 nodes with distinct keys.
The numbers are called binomial coefficients.
The binomial nomenclature of the European rabbit(the most widespread in Italy) is Oryctolagus cuniculus.
You can't do this for just any binomial multiplication.
In computer science, a binomial heap is a heap similar to a binary heap but also supports quick merging of two heaps.
Using Normal approximation to binomial distribution.
The traditional negative binomial regression model, commonly known as NB2, is based on the Poisson-gamma mixture distribution.
Cofidence interval for probability of binomial distribution.
Binomial coefficients are of importance in combinatorics, because they provide ready formulas for certain frequent counting problems.
The sum of all n-choose binomial coefficients is equal to 2n.
Similarly, the\tbinom and\dbinom commands typeset the binomial coefficient.
The first problem is that a binomial distribution can be very tricky to work with.
Omar was the mathematician who noticed the importance of a general binomial theorem.
He published his first work- Newton's binomial in the"Bulgaran" magazine in 1920.
By way of the binomial theorem and the power series definition, the exponential function can also be defined as the following limit:[5].
This has the same form as the MLE for the binomial distribution, so.
In 1665, he discovered the generalised binomial theorem and began to develop a mathematical theory that would later become calculus.
The square pyramidal numbers can also be expressed as sums of binomial coefficients.
Other generalized linear models such as the negative binomial model or zero-inflated model may function better in these cases.
Under some circumstances,the problem of overdispersion can be solved by using quasi-likelihood estimation or a negative binomial distribution instead.[2][3].
And when they say factor a binomial like this, an expression that has two terms like this, they really mean break it up into the product of one or more terms.
Specimens from central Asia are also known by the binomial name Latrodectus lugubris;
One in particular, the binomial formula works for your binomial coefficients, which I'm not going to go over right here, when 0 to the zeroth power is equal to 1.
With large μ andsubstantial extra-Poisson variation, the negative binomial weights are capped at 1/κ.
This generalization is known as the generalized binomial coefficient andis used in the formulation of the binomial theorem and satisfies properties(3) and(7).