A complex mathematical topic, the asymptotic behavior of sequences of random variables, or the behavior of indefinitely long sequences of random variables, has significant ramifications for the statistical analysis of data from large samples.
The asymptotic behavior of the sample estimators of the eigenvalues and eigenvectors of covariance matrices is examined in this claim. This work focuses on limited sample size scenarios where the number of accessible observations is comparable in magnitude to the observation dimension rather than usual high sample-size asymptotic .
Under the presumption that both the sample size and the observation dimension go to infinity while their quotient converges to a positive value, the asymptotic behavior of the conventional sample estimates is examined using methods from random matrix theory.
Closed form asymptotic expressions of these estimators are obtained, demonstrating the inconsistency of the conventional sample estimators in these asymptotic conditions, assuming that an asymptotic eigenvalue splitting condition is satisfied.
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Answer:
Option A True
Step-by-step explanation:
we know that
The sum of the internal angles of the triangle is equal to 
<u>In the triangle JKL</u>
m∠L=
so
The measurements of the angles of triangle JKL are 
<u>In the triangle WXY</u>
m∠W=
so
The measurements of the angles of triangle WXY are
therefore
Triangle JKL and triangle WXY are similar by AAA ( The AAA postulate states that if you can prove that all three angles of two triangles are congruent, you can prove the two triangles are similar)
9(n+3)=7n-3
1) distribute 9 into (n+3)
9n+27=7n-3
2) subtract 7n on both sides
2n+27=-3
3) subtract 27 on both sides
2n=-30
4) divide by 2
n=-15
Answer:
5/8
Step-by-step explanation:
3/4 - 1/8
We need to get a common denominator
3/4 *2/2 = 6/8
6/8 - 1/8
5/8
Since you used 28% of your paper
28% = .28
500 x .28 = 140 sheets used
0,500) (1,360)
m = 360-500/1-0
m = -140
Answer:
<em>y = -140x + 500</em>
