Name: Note PROBABILITY AND RANDOM PROCESSES PRP By RAJIV DAS
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Author: RAJIV

Probability, Probability introduced through Sets and Relative Frequency: Experiments and
Sample Spaces, Discrete and Continuous Sample Spaces, Events, Probability Definitions and
Axioms, Mathematical Model of Experiments, Probability as a Relative Frequency, Joint
Probability, Conditional Probability, Total Probability, Bayes’ Theorem, Independent Events

Probability

The Random Variable , Definition of a Random Variable, Conditions for a Function to be a
Random Variable, Discrete and Continuous, Mixed Random Variable, Distribution and
Density functions, Properties, Binomial, Poisson, Uniform, Gaussian, Exponential, Rayleigh,
Conditional Distribution, Methods of defining Conditioning Event, Conditional Density,
Properties

The Random Variable

Discrete Random Variable

Characteristics Random Variables

Binomial

Poisson

Uniform

Rayleigh

Gaussian

Central Limit Theorem

it is notes from book schaumn series "probabilistic theory"

RAJIV

Notes for PROBABILITY AND RANDOM PROCESSES - PRP by RAJIV DASH

Note for PROBABILITY AND RANDOM PROCESSES - PRP By RAJIV DASH

of Gandhi Institute for Technology (GIFT). Electronics and Communication Engineering