PDF of Z = XY for Jointly Uniform (X,Y) with Parabolic Region
up vote
1
down vote
favorite
"Suppose that $(X,Y)$ is uniformly distributed on the subset of $; mathbb R^2$ defined by the inequalities $0 < X < 1$ and $0 < Y < X^2$.
Determine the probability density function of the random variable $Z = XY$"
The $X^2$ in the $Y$ interval is seriously throwing me off and I'm not sure where to start. I have
$$f_{X,Y}(x,y) = 3 qquad (x,y) epsilon;(0,1)times(0,X^2)$$
$$f_{X,Y}(x,y) = 0 qquad qquad qquad quad otherwise$$
But I do not know where to go from here. I need to be able to explain my answer so I'd like to understand how/why it works. Thanks!
probability transformation independence uniform-distribution
add a comment |
up vote
1
down vote
favorite
"Suppose that $(X,Y)$ is uniformly distributed on the subset of $; mathbb R^2$ defined by the inequalities $0 < X < 1$ and $0 < Y < X^2$.
Determine the probability density function of the random variable $Z = XY$"
The $X^2$ in the $Y$ interval is seriously throwing me off and I'm not sure where to start. I have
$$f_{X,Y}(x,y) = 3 qquad (x,y) epsilon;(0,1)times(0,X^2)$$
$$f_{X,Y}(x,y) = 0 qquad qquad qquad quad otherwise$$
But I do not know where to go from here. I need to be able to explain my answer so I'd like to understand how/why it works. Thanks!
probability transformation independence uniform-distribution
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
"Suppose that $(X,Y)$ is uniformly distributed on the subset of $; mathbb R^2$ defined by the inequalities $0 < X < 1$ and $0 < Y < X^2$.
Determine the probability density function of the random variable $Z = XY$"
The $X^2$ in the $Y$ interval is seriously throwing me off and I'm not sure where to start. I have
$$f_{X,Y}(x,y) = 3 qquad (x,y) epsilon;(0,1)times(0,X^2)$$
$$f_{X,Y}(x,y) = 0 qquad qquad qquad quad otherwise$$
But I do not know where to go from here. I need to be able to explain my answer so I'd like to understand how/why it works. Thanks!
probability transformation independence uniform-distribution
"Suppose that $(X,Y)$ is uniformly distributed on the subset of $; mathbb R^2$ defined by the inequalities $0 < X < 1$ and $0 < Y < X^2$.
Determine the probability density function of the random variable $Z = XY$"
The $X^2$ in the $Y$ interval is seriously throwing me off and I'm not sure where to start. I have
$$f_{X,Y}(x,y) = 3 qquad (x,y) epsilon;(0,1)times(0,X^2)$$
$$f_{X,Y}(x,y) = 0 qquad qquad qquad quad otherwise$$
But I do not know where to go from here. I need to be able to explain my answer so I'd like to understand how/why it works. Thanks!
probability transformation independence uniform-distribution
probability transformation independence uniform-distribution
edited Nov 21 at 21:33
asked Nov 21 at 21:12
Angus Pointer
186
186
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
up vote
1
down vote
accepted
You have found that$f_{X,Y}(x,y)=3cdotmathbf 1_{0<x<1, 0<y<x^2}$ . $checkmark$
From there use the Jacobian Transformation Theorem.
$$begin{align}f_{X,Z}(x,z) &= begin{Vmatrix}dfrac{partial[x,z/x]}{partial[x,z]}end{Vmatrix}~f_{X,Y}(x,z/x)\[1ex] &= dfrac 1{lvert xrvert}cdot 3cdotmathbf 1_{0< x< 1~,~ 0< z/x< x^2}\[1ex] &= dfrac 3{x}cdotmathbf 1_{0< z< 1~,~ sqrt[3]z< x< 1}end{align}$$
After which integration with respect to $x$ finds the marginal distribution. (Notice the support)
$$begin{align}f_Z(z) &= int_Bbb R f_{X,Z}(x,z)~mathsf d x\[1ex] &= int_{sqrt[3]z}^1frac 3x~mathsf d xcdotmathbf 1_{0<z< 1}\[1ex] &= -3ln(sqrt[3]z)cdotmathbf 1_{0< z< 1}\[1ex] &= -ln(z)cdotmathbf 1_{0< z< 1}end{align}$$
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
1
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
add a comment |
up vote
1
down vote
I've looked over some examples and believe I have a solution.
$$f_{X,Y}(x,y) =
begin{cases}
3 &&& text{for} quad0<X<1, & 0<Y<X^2 \
0 &&& text{otherwise}
end{cases}
$$
Then,
$$F_Z(z) = begin{cases}
0 &&& Z leq 0 \
Bbb P (Z leq z) = Bbb P (XY leq z) = Bbb P(Y leq frac{1}{X}z) &&& 0<Z<X^2 \
1 &&& Z geq X^2
end{cases}
$$
Our support region is $$A = {(X,Y); |; 0 < X < 1,; ; 0 < Y < X^2} cap {(X,Y) ;| ;Y leq frac{1}{X} z}$$
Integrating $f_{X,Y}(x,y)$ twice over this region, where the two "curves" $Y=X^2$ and $Y = frac{1}{X}z$ intersect at $(z^{frac{1}{3}},z^{frac{2}{3}})$
$$ Bbb P(Y leq frac{1}{X}z) = iint_A3 dx dy = 3intlimits^{z^{frac{1}{3}}}_0intlimits^{x^{2}}_0 dy dx + 3intlimits^{1}_{z^{frac{1}{3}}}intlimits^{frac{z}{x}}_{0} dy dx \
= x^3 biggrvert_{0}^{z^{frac{1}{3}}}+3z ln{x}biggrvert^0_{z^{frac{1}{3}}} = z - 3zln{z^{frac{1}{3}}} = z(1-ln{z})$$
So we have;
$$F_Z(z) = begin{cases} 0 & Zleq 0 \
z(1-ln{z}) & 0 < Z < X^2 \
1 & Zgeq X^2
end{cases}$$
then differentiate to obtain $f_X(x)$;
$$f_X(x) = begin{cases}
-ln{z} & 0 < Z < X^2 \
0 & text{otherwise}
end{cases}$$
I'm still unsure about my interval for Z, but otherwise I believe this is correct?
1
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
You have found that$f_{X,Y}(x,y)=3cdotmathbf 1_{0<x<1, 0<y<x^2}$ . $checkmark$
From there use the Jacobian Transformation Theorem.
$$begin{align}f_{X,Z}(x,z) &= begin{Vmatrix}dfrac{partial[x,z/x]}{partial[x,z]}end{Vmatrix}~f_{X,Y}(x,z/x)\[1ex] &= dfrac 1{lvert xrvert}cdot 3cdotmathbf 1_{0< x< 1~,~ 0< z/x< x^2}\[1ex] &= dfrac 3{x}cdotmathbf 1_{0< z< 1~,~ sqrt[3]z< x< 1}end{align}$$
After which integration with respect to $x$ finds the marginal distribution. (Notice the support)
$$begin{align}f_Z(z) &= int_Bbb R f_{X,Z}(x,z)~mathsf d x\[1ex] &= int_{sqrt[3]z}^1frac 3x~mathsf d xcdotmathbf 1_{0<z< 1}\[1ex] &= -3ln(sqrt[3]z)cdotmathbf 1_{0< z< 1}\[1ex] &= -ln(z)cdotmathbf 1_{0< z< 1}end{align}$$
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
1
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
add a comment |
up vote
1
down vote
accepted
You have found that$f_{X,Y}(x,y)=3cdotmathbf 1_{0<x<1, 0<y<x^2}$ . $checkmark$
From there use the Jacobian Transformation Theorem.
$$begin{align}f_{X,Z}(x,z) &= begin{Vmatrix}dfrac{partial[x,z/x]}{partial[x,z]}end{Vmatrix}~f_{X,Y}(x,z/x)\[1ex] &= dfrac 1{lvert xrvert}cdot 3cdotmathbf 1_{0< x< 1~,~ 0< z/x< x^2}\[1ex] &= dfrac 3{x}cdotmathbf 1_{0< z< 1~,~ sqrt[3]z< x< 1}end{align}$$
After which integration with respect to $x$ finds the marginal distribution. (Notice the support)
$$begin{align}f_Z(z) &= int_Bbb R f_{X,Z}(x,z)~mathsf d x\[1ex] &= int_{sqrt[3]z}^1frac 3x~mathsf d xcdotmathbf 1_{0<z< 1}\[1ex] &= -3ln(sqrt[3]z)cdotmathbf 1_{0< z< 1}\[1ex] &= -ln(z)cdotmathbf 1_{0< z< 1}end{align}$$
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
1
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
You have found that$f_{X,Y}(x,y)=3cdotmathbf 1_{0<x<1, 0<y<x^2}$ . $checkmark$
From there use the Jacobian Transformation Theorem.
$$begin{align}f_{X,Z}(x,z) &= begin{Vmatrix}dfrac{partial[x,z/x]}{partial[x,z]}end{Vmatrix}~f_{X,Y}(x,z/x)\[1ex] &= dfrac 1{lvert xrvert}cdot 3cdotmathbf 1_{0< x< 1~,~ 0< z/x< x^2}\[1ex] &= dfrac 3{x}cdotmathbf 1_{0< z< 1~,~ sqrt[3]z< x< 1}end{align}$$
After which integration with respect to $x$ finds the marginal distribution. (Notice the support)
$$begin{align}f_Z(z) &= int_Bbb R f_{X,Z}(x,z)~mathsf d x\[1ex] &= int_{sqrt[3]z}^1frac 3x~mathsf d xcdotmathbf 1_{0<z< 1}\[1ex] &= -3ln(sqrt[3]z)cdotmathbf 1_{0< z< 1}\[1ex] &= -ln(z)cdotmathbf 1_{0< z< 1}end{align}$$
You have found that$f_{X,Y}(x,y)=3cdotmathbf 1_{0<x<1, 0<y<x^2}$ . $checkmark$
From there use the Jacobian Transformation Theorem.
$$begin{align}f_{X,Z}(x,z) &= begin{Vmatrix}dfrac{partial[x,z/x]}{partial[x,z]}end{Vmatrix}~f_{X,Y}(x,z/x)\[1ex] &= dfrac 1{lvert xrvert}cdot 3cdotmathbf 1_{0< x< 1~,~ 0< z/x< x^2}\[1ex] &= dfrac 3{x}cdotmathbf 1_{0< z< 1~,~ sqrt[3]z< x< 1}end{align}$$
After which integration with respect to $x$ finds the marginal distribution. (Notice the support)
$$begin{align}f_Z(z) &= int_Bbb R f_{X,Z}(x,z)~mathsf d x\[1ex] &= int_{sqrt[3]z}^1frac 3x~mathsf d xcdotmathbf 1_{0<z< 1}\[1ex] &= -3ln(sqrt[3]z)cdotmathbf 1_{0< z< 1}\[1ex] &= -ln(z)cdotmathbf 1_{0< z< 1}end{align}$$
answered Nov 22 at 3:09
Graham Kemp
84.4k43378
84.4k43378
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
1
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
add a comment |
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
1
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
Thanks! Could you please explain what the 1 (0 < z < 1) means?
– Angus Pointer
Nov 22 at 15:46
1
1
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
It is an Indicator random variable, which is equal to 1 when the index is true and zero otherwise.
– Graham Kemp
Nov 22 at 20:04
add a comment |
up vote
1
down vote
I've looked over some examples and believe I have a solution.
$$f_{X,Y}(x,y) =
begin{cases}
3 &&& text{for} quad0<X<1, & 0<Y<X^2 \
0 &&& text{otherwise}
end{cases}
$$
Then,
$$F_Z(z) = begin{cases}
0 &&& Z leq 0 \
Bbb P (Z leq z) = Bbb P (XY leq z) = Bbb P(Y leq frac{1}{X}z) &&& 0<Z<X^2 \
1 &&& Z geq X^2
end{cases}
$$
Our support region is $$A = {(X,Y); |; 0 < X < 1,; ; 0 < Y < X^2} cap {(X,Y) ;| ;Y leq frac{1}{X} z}$$
Integrating $f_{X,Y}(x,y)$ twice over this region, where the two "curves" $Y=X^2$ and $Y = frac{1}{X}z$ intersect at $(z^{frac{1}{3}},z^{frac{2}{3}})$
$$ Bbb P(Y leq frac{1}{X}z) = iint_A3 dx dy = 3intlimits^{z^{frac{1}{3}}}_0intlimits^{x^{2}}_0 dy dx + 3intlimits^{1}_{z^{frac{1}{3}}}intlimits^{frac{z}{x}}_{0} dy dx \
= x^3 biggrvert_{0}^{z^{frac{1}{3}}}+3z ln{x}biggrvert^0_{z^{frac{1}{3}}} = z - 3zln{z^{frac{1}{3}}} = z(1-ln{z})$$
So we have;
$$F_Z(z) = begin{cases} 0 & Zleq 0 \
z(1-ln{z}) & 0 < Z < X^2 \
1 & Zgeq X^2
end{cases}$$
then differentiate to obtain $f_X(x)$;
$$f_X(x) = begin{cases}
-ln{z} & 0 < Z < X^2 \
0 & text{otherwise}
end{cases}$$
I'm still unsure about my interval for Z, but otherwise I believe this is correct?
1
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
add a comment |
up vote
1
down vote
I've looked over some examples and believe I have a solution.
$$f_{X,Y}(x,y) =
begin{cases}
3 &&& text{for} quad0<X<1, & 0<Y<X^2 \
0 &&& text{otherwise}
end{cases}
$$
Then,
$$F_Z(z) = begin{cases}
0 &&& Z leq 0 \
Bbb P (Z leq z) = Bbb P (XY leq z) = Bbb P(Y leq frac{1}{X}z) &&& 0<Z<X^2 \
1 &&& Z geq X^2
end{cases}
$$
Our support region is $$A = {(X,Y); |; 0 < X < 1,; ; 0 < Y < X^2} cap {(X,Y) ;| ;Y leq frac{1}{X} z}$$
Integrating $f_{X,Y}(x,y)$ twice over this region, where the two "curves" $Y=X^2$ and $Y = frac{1}{X}z$ intersect at $(z^{frac{1}{3}},z^{frac{2}{3}})$
$$ Bbb P(Y leq frac{1}{X}z) = iint_A3 dx dy = 3intlimits^{z^{frac{1}{3}}}_0intlimits^{x^{2}}_0 dy dx + 3intlimits^{1}_{z^{frac{1}{3}}}intlimits^{frac{z}{x}}_{0} dy dx \
= x^3 biggrvert_{0}^{z^{frac{1}{3}}}+3z ln{x}biggrvert^0_{z^{frac{1}{3}}} = z - 3zln{z^{frac{1}{3}}} = z(1-ln{z})$$
So we have;
$$F_Z(z) = begin{cases} 0 & Zleq 0 \
z(1-ln{z}) & 0 < Z < X^2 \
1 & Zgeq X^2
end{cases}$$
then differentiate to obtain $f_X(x)$;
$$f_X(x) = begin{cases}
-ln{z} & 0 < Z < X^2 \
0 & text{otherwise}
end{cases}$$
I'm still unsure about my interval for Z, but otherwise I believe this is correct?
1
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
add a comment |
up vote
1
down vote
up vote
1
down vote
I've looked over some examples and believe I have a solution.
$$f_{X,Y}(x,y) =
begin{cases}
3 &&& text{for} quad0<X<1, & 0<Y<X^2 \
0 &&& text{otherwise}
end{cases}
$$
Then,
$$F_Z(z) = begin{cases}
0 &&& Z leq 0 \
Bbb P (Z leq z) = Bbb P (XY leq z) = Bbb P(Y leq frac{1}{X}z) &&& 0<Z<X^2 \
1 &&& Z geq X^2
end{cases}
$$
Our support region is $$A = {(X,Y); |; 0 < X < 1,; ; 0 < Y < X^2} cap {(X,Y) ;| ;Y leq frac{1}{X} z}$$
Integrating $f_{X,Y}(x,y)$ twice over this region, where the two "curves" $Y=X^2$ and $Y = frac{1}{X}z$ intersect at $(z^{frac{1}{3}},z^{frac{2}{3}})$
$$ Bbb P(Y leq frac{1}{X}z) = iint_A3 dx dy = 3intlimits^{z^{frac{1}{3}}}_0intlimits^{x^{2}}_0 dy dx + 3intlimits^{1}_{z^{frac{1}{3}}}intlimits^{frac{z}{x}}_{0} dy dx \
= x^3 biggrvert_{0}^{z^{frac{1}{3}}}+3z ln{x}biggrvert^0_{z^{frac{1}{3}}} = z - 3zln{z^{frac{1}{3}}} = z(1-ln{z})$$
So we have;
$$F_Z(z) = begin{cases} 0 & Zleq 0 \
z(1-ln{z}) & 0 < Z < X^2 \
1 & Zgeq X^2
end{cases}$$
then differentiate to obtain $f_X(x)$;
$$f_X(x) = begin{cases}
-ln{z} & 0 < Z < X^2 \
0 & text{otherwise}
end{cases}$$
I'm still unsure about my interval for Z, but otherwise I believe this is correct?
I've looked over some examples and believe I have a solution.
$$f_{X,Y}(x,y) =
begin{cases}
3 &&& text{for} quad0<X<1, & 0<Y<X^2 \
0 &&& text{otherwise}
end{cases}
$$
Then,
$$F_Z(z) = begin{cases}
0 &&& Z leq 0 \
Bbb P (Z leq z) = Bbb P (XY leq z) = Bbb P(Y leq frac{1}{X}z) &&& 0<Z<X^2 \
1 &&& Z geq X^2
end{cases}
$$
Our support region is $$A = {(X,Y); |; 0 < X < 1,; ; 0 < Y < X^2} cap {(X,Y) ;| ;Y leq frac{1}{X} z}$$
Integrating $f_{X,Y}(x,y)$ twice over this region, where the two "curves" $Y=X^2$ and $Y = frac{1}{X}z$ intersect at $(z^{frac{1}{3}},z^{frac{2}{3}})$
$$ Bbb P(Y leq frac{1}{X}z) = iint_A3 dx dy = 3intlimits^{z^{frac{1}{3}}}_0intlimits^{x^{2}}_0 dy dx + 3intlimits^{1}_{z^{frac{1}{3}}}intlimits^{frac{z}{x}}_{0} dy dx \
= x^3 biggrvert_{0}^{z^{frac{1}{3}}}+3z ln{x}biggrvert^0_{z^{frac{1}{3}}} = z - 3zln{z^{frac{1}{3}}} = z(1-ln{z})$$
So we have;
$$F_Z(z) = begin{cases} 0 & Zleq 0 \
z(1-ln{z}) & 0 < Z < X^2 \
1 & Zgeq X^2
end{cases}$$
then differentiate to obtain $f_X(x)$;
$$f_X(x) = begin{cases}
-ln{z} & 0 < Z < X^2 \
0 & text{otherwise}
end{cases}$$
I'm still unsure about my interval for Z, but otherwise I believe this is correct?
answered Nov 22 at 0:36
Angus Pointer
186
186
1
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
add a comment |
1
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
1
1
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
$Z$ will be supported over $(0,1)$, [the bounds should not mention either $X$ or $Y$, but be the result of their bounds, and we have $0< XY< 1cdot1^2$], and of course you are looking for $f_Z(z)$ when you differentiate, rather than $f_X(x)$.
– Graham Kemp
Nov 22 at 3:12
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3008375%2fpdf-of-z-xy-for-jointly-uniform-x-y-with-parabolic-region%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown