This accessible and easy-to-read book provides many examples to illustrate diverse topics in
probability and statistics from initial concepts up to advanced calculations. Special
attention is devoted e.g. to independency of events inequalities in probability and functions
of random variables. The book is directed to students of mathematics statistics engineering
and other quantitative sciences in particular to readers who need or want to learn by
self-study. The author is convinced that sophisticated examples are more useful for the student
than a lengthy formalism treating the greatest possible generality. Contents:Mathematics
revisionIntroduction to probabilityFinite sample spacesConditional probability and
independenceOne-dimensional random variablesFunctions of random variablesBi-dimensional random
variablesCharacteristics of random variablesDiscrete probability modelsContinuous probability
modelsGenerating functions in probabilitySums of many random variablesSamples and sampling
distributionsEstimation of parametersHypothesis tests
