Since, the given PDF is of Student's t- distribution where 'n'
is degree of freedom and is the Gamma
Function.
Let Z be a random varaiable that follows N(0,1) i.e. with mean '0' and Variance '1' and chi-square distributed independently of Z.
Now, Applying Jacobian transformation and then using differential equation:
So, obtaining the marginal distribution of 't' would be as:
Next, we would obtain the integral function of General Gamma Distribution,which are as follows:
therefore, doing some calculations we got our result.
Hence, we have proved the above PDF(Probability Density Function).
Proof of it please.. Theorem 2. The PDF of T defined in (7) is given by...
Please prove this theorem..
Theorem 4. The PDF of the F-statistic defined in (14) is given by &f) -(m+n f>o, fso 0,
only (b) please
Exercise 4.3.3. (a) Supply a proof for Theorem 4.3.9 using the ed charac- terization of continuity. Excreien: :03a supely a pot be Tovem 130 ming the ó dheas (b) Give another proof of this theorem using the sequential characterization of continuity (from Theorem 4.3.2 (iii)). Theorem 4.3.9 (Composition of Continuous Functions). Given f : A R and g: B + R, assume that the range f(A) = {f(): € A} is contained in the domain B so...
THEOREM 3.4. Suppose T: V -» W is a linear transformation from K-linear spaces V to W. Then (a) ker(T) is a subspace of V, and (b) im(T) is a subspace of W PROOF. The proof is left as an exercise.
Is T: M2,2 → ℝ defined by T(A) =|A| a linear transformation? Provide a proof or counterexample.
please answer the question using 0 & 1 instead of T &
F
7. (10) Give a direct proof and an indirect proof of the following:
7. (10) Give a direct proof and an indirect proof of the following:
Proof of Pythagorean Theorem Write a proof of the Pythagorean Theorem (a^2+b^2=c^2). Your target audience consists of developmentally-typical 14-year-olds children. They have learned how to calculate areas of rectangles and right triangles, but haven't confidently memorized the formulas. They can follow basic algebra. Feel free to use simple diagrams.
Problem 2. Proof the Initial Value Theorem: lim q(t) = lim sQ(s). E $ 0 Hint: does sQ(s) – q(0) looks familiar to something?
Question 9. Let (A-) be a binary structure. When the book defined identity, it meant 2 sided identity, but it is also possible to talk about one sided (right and left) identities. Come up with a reasonable definition of the terms: left identity (denoted by ez) and right identity denoted by eR). (a) Is it true that, if a left (respectively, right) identity exists, then it is unique? If it is true, prove it; if it is false, provide a...
The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as ET(X + Y - t)21, what value of t minimizes this error?
The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as...
The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as ET(X + Y - t)21, what value of t minimizes this error?
The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as...