paper 111620220323

Erlang Distribution is also called General___________.

Distributions are the only discrete memoryless random distributions.

When can we use Gamma Distribution?

A list of vectors is said to be linearly dependent if and only if  there is no vector in the list which is in the span of the preceding vectors.

Write Kotlin S2 code to demonstrate use of quantile.

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Write down the conditions for the Poisson distribution to be valid.

The successive search directions in the steepest-descent methods may not relate to each other.

Write Kotlin S2 code to show Gamma distribution.

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The sign of covariance shows the tendency of __________relationship between the variables

_____________method is used to accelerate the gradient descent algorithm by taking into consideration the exponentially weighted average of the gradients.

The Variance is a measure of dispersion that checks how ____________ apart the data in a distribution are from the mean.

A list of vectors is said to be linearly independent if and only if  there is single vector in the list which is in the span of the preceding vectors.

A fair six sided die is rolled with X being the number on the uppermost face, the variance of X is _________

_______________converges slightly faster than the bisection method.

Perform Scalar operation on any matrix in kotlin S2 

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an eigenvector is a vector whose direction remains __________when a linear transformation is applied to it

Sample_____________ is a measure of the tailedness of the probability distribution.

Define a matrix and compute its inverse and transpose in kotlin S2

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In kotlin S2 Determine whether   is a basis for .

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Perform double exponential ,real line, half real line in kotlin S2.

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Demonstrate Cholesky decomposition in kotlin S2 

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Implement the polar decomposition using Kotlin S2.

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 generate standard normal samples and normal samples based on a specified mean μ and variance 

 reduce this given matrix to the row echelon form and also find the eigen pair using kotlin S2.

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