Fundamentals of Probability Theory

Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

Probability is a concept familiar to the vast majority of readers on an intuitive level, however in a stricter sense it is generally poorly understood. A substantial fraction of this thesis draws ideas and tools from the rigorous theories of probability and thus it is apt to provide a fuller account of the rudimentary mathematical principles. This chapter does not aim to give an exhaustive exposition of probability theory (fuller discussion can be found in many existing texts, such as [2,5,10,11,16], but instead particular attention is given to the meaning of randomness, whereby a suitable parameterisation of the statistics involved can be formulated.

Keywords

Random Process Cumulative Distribution Function Gaussian Random Variable Order Moment Discrete Random Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Imperial College LondonLondonUK

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