TY  - BOOK
AU  - Dekking, F.M.
AU  - Kraaikamp, C.
AU  - Lopuhaa, H.P.
AU  - Meester, L.E.
TI  -  A Modern Introduction to Probability and Statistics: Understanding why and How
SN  - 9781849969529
U1  - 519.2 
PY  - 2005///
CY  - London
PB  - Springer
N1  - Why probability and statistics?.- Outcomes, events, and probability.- Conditional probability and independence.- Discrete random variables.- Continuous random variables.- Simulation.- Expectation and variance.- Computations with random variables.- Joint distributions and independence.- Covariance and correlation.- More computations with more random variables.- The Poisson process.- The law of large numbers.- The central limit theorem.- Exploratory data analysis: graphical summaries.- Exploratory data analysis: numerical summaries.- Basic statistical models.- The bootstrap.- Unbiased estimators.- Efficiency and mean squared error.- Maximum likelihood.- The method of least squares.- Confidence intervals for the mean.- More on confidence intervals.- Testing hypotheses: essentials.- Testing hypotheses: elaboration.- The t-test.- Comparing two samples
ER  -