Advanced Probability and Statistics  094491
Will not be given the year



Lecture 
Exercise 
Laboratory 
Project or Seminar 
House Work 
Weekly Hours 
4 
1 


9 

Determination of the grade according to progress during the semester and a final examination.
Prerequisites:
    Linear Algebra 
104006
 

or
   Differential and Integral Calculus 2M 
104011
 

or
   Algebra 1/Extended 
104016
 

Overlapping Courses:
    Probability (Ie) 
094411
 
    Probability (Advanced) 
094412
 
    Advanced Probability Statistics 
094492
 

Incorporated Courses:
    Statistics for BioEngineering 
094493
 
Probabilistic Models and Probability Spaces. Conditional Probability, Independence. Random Variables. Expectation and Moments. Conditional Expectation. Prediction. Variance, Covariance and Correlation. Inequalities. Law of Large Numbers. Normal Distribution and Central Limit Theorem. Densities: Exponential, Gamma, X, T and F. Multivariate Normal Distribution. Interval Estimation, Hypothesis Testing, Contingency Tables, Regression.
TextbooksPublished  Publisher  Authors  Book 

1993  springer  j. pitman  probability 
1993  wiley  l.d. fisher, g. van  biostatistics 
Created in 24/01/2022 Time 22:34:58