Question

Interpreting the limits when deriving the Marginal density from joint density function

score 136 · Answer 1 · 2016-03-22 12:35:28

136

Views

Interpreting the limits when deriving the Marginal density from joint density function

Published on 22 Mar 2016 - 12:35

score 273 · Answer 2 · 2016-03-22 14:48:54

273

Views

joint exponential distribution range problem

Published on 22 Mar 2016 - 14:48

score 2.5k · Answer 3 · 2026-03-26 14:21:08

2.5k

Views

How to show that $f(x; \alpha, \beta) = \frac{1}{\beta^{\alpha} \Gamma(\alpha)}x^{\alpha-1}e^{-x/\beta}$is a pdf?

Published on 26 Mar 2026 - 14:21

score 951 · Answer 4 · 2016-03-23 19:10:25

951

Views

To prove $X^2$ and $Y^2$ are independent for a given joint pdf $f(x,y)=\dfrac{1}{4}(1+xy)$

Published on 23 Mar 2016 - 19:10

score 5.6k · Answer 5 · 2016-03-24 22:24:01

5.6k

Views

"Marginalizing out" a parameter in a PDF

Published on 24 Mar 2016 - 22:24

score 441 · Answer 6 · 2016-03-27 00:30:36

441

Views

Support of the density of a transformation of a random variable $Y = \frac{1}{X}$ with $f_X(x) = \frac{1}{\pi(1+x^2)}$

Published on 27 Mar 2016 - 0:30

score 71.7k · Answer 7 · 2016-03-30 08:51:36

71.7k

Views

How can a probability density function (pdf) be greater than $1$?

Published on 30 Mar 2016 - 8:51

score 1.9k · Answer 8 · 2016-03-31 20:29:14

1.9k

Views

Transformations of random variables that aren't one-to-one

Published on 31 Mar 2016 - 20:29

score 145 · Answer 9 · 2016-04-01 18:53:07

145

Views

Probability of density function is greater than one

Published on 01 Apr 2016 - 18:53

score 1k · Answer 10 · 2026-03-29 19:11:46

1k

Views

Find the density function, pdf, of $Y$, the arrival time of the $k$th event of a poisson process.

Published on 29 Mar 2026 - 19:11

score 345 · Answer 11 · 2016-04-04 14:59:45

345

Views

Finding $E(X^2)$ of a random variable $X$~$exp(λ)$

Published on 04 Apr 2016 - 14:59

score 270 · Answer 12 · 2016-04-10 15:02:46

270

Views

PDF for a continuous random X, where $a$ is a constant such that $1< a \leqslant 5$

Published on 10 Apr 2016 - 15:02

score 382 · Answer 13 · 2026-03-29 18:29:40

382

Views

Moment generation function v.s. density function.

Published on 29 Mar 2026 - 18:29

score 141 · Answer 14 · 2016-04-14 12:09:18

141

Views

Conditional Probability with Density Function

Published on 14 Apr 2016 - 12:09

score 169 · Answer 15 · 2016-04-16 10:17:30

169

Views

probability density function, integral 1

Published on 16 Apr 2016 - 10:17

List Question

Interpreting the limits when deriving the Marginal density from joint density function

joint exponential distribution range problem

How to show that $f(x; \alpha, \beta) = \frac{1}{\beta^{\alpha} \Gamma(\alpha)}x^{\alpha-1}e^{-x/\beta}$is a pdf?

To prove $X^2$ and $Y^2$ are independent for a given joint pdf $f(x,y)=\dfrac{1}{4}(1+xy)$

"Marginalizing out" a parameter in a PDF

Support of the density of a transformation of a random variable $Y = \frac{1}{X}$ with $f_X(x) = \frac{1}{\pi(1+x^2)}$

How can a probability density function (pdf) be greater than $1$?

Transformations of random variables that aren't one-to-one

Probability of density function is greater than one

Find the density function, pdf, of $Y$, the arrival time of the $k$th event of a poisson process.

Finding $E(X^2)$ of a random variable $X$~$exp(λ)$

PDF for a continuous random X, where $a$ is a constant such that $1< a \leqslant 5$

Moment generation function v.s. density function.

Conditional Probability with Density Function

probability density function, integral 1

Trending Questions

Popular # Hahtags

Popular Questions