Sumários

Properties of the Expected value and variance for two dimensional random variables.Correlation coeficient. Conditional expectations.

4 Novembro 2014, 13:30 Graça Leão Fernandes

Properties of the expected value and variance for two dimensional random variables:

- Expected value of a sum of random variables;

- Variance of a sum of independent random variables;

- Covariance of a sum of independent random variables.

Correlation coeficient: definition, computation and interpretation;

 Conditional expectations:

   - Expected value of X given Y for discrete and continuous random variables;

   - Expected value of Y given X for discrete and continuous random variables;

   - Conditional Variance of X given Y for discrete and continuous random variables;

  


Product moments about the origin and about the mean for discrete and continuous random variables

3 Novembro 2014, 13:30 Graça Leão Fernandes

Product moments about the origin of order r,s:

- Definition;

- Expected value of (X.Y), marginal expected values of X and Y;

- Theorem 4.12 - independence between X and Y

- Expected value of some functions of (X.Y)

 Product moments about the mean of order r,s:

- Definition;

- Covariance of X,Y, interpretation;

- Variance of X and Y;

- Examples.


Expected values, moments of discrete and continuous random variables. Moment generating functions.

31 Outubro 2014, 15:30 Graça Leão Fernandes

Resolution of exercises :

 

From the book: 4.6, 4.8, 4.19, 4.22, 4.24, 4.33, 4.34, 4.37

 

From exercises for chapter 3: 1,4, 5, 7, 10

 

Mini test nº 2


Order parameters. Moment generating function. Product moments about the origin.

28 Outubro 2014, 13:30 Graça Leão Fernandes

Order parameters:

  - Quantiles: Quartiles, deciles, percentiles;

 Mode

Moment generating function:

  - Definition;

  - Properties;

  - How to compute the moments about the origin using the mpment generating functions;

   - Examples

 Product moments about the origin:

  - Definition:

   - E(X,Y)

   - E[g(X,Y)]


Expected values and moments of discrete and continuous random variables

27 Outubro 2014, 13:30 Graça Leão Fernandes

Expected values:

    - Definition;

   - Computation for discrete and continuous random variables;

   - Expected value of a function of X;

   - Properties of expected values.

 Moments of discrete and continuous random variables:

    - Moments about the origin: definition, 1st and 2nd moments about the origin, interpretation;

    - Moments about the mean: definition, 1st and 2nd moments about the mean, interpretation;

    - Properties of the 2nd moment about the mean=variance;

    - Standard deviation;

     - Coefficient of variation;

     - Coefficient of  asymmetry;

     - Coefficient of Kurtosis