Probability, Statistics and Random Processes 
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please dont buy this book. steps are not explained . author has directly skipped the steps of every sum, thinking we have understood the concept. this book is useless and baseless for starters
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All 7 reviews »Very fantastic and understandable book
Contents
Properties of the cdf Fx  35 
Exercise 2A  50 
Marginal Probability Distribution  56 
j p  62 
Exercise 2B  72 
anno  80 
Functions of Random Variables  83 
Statistical Averages  111 
Exercise 4E  193 
Exercise 4F  200 
Some Special Probability Distributions  208 
Random Processes  290 
Special Random Process  354 
Tests of Hypotheses  419 
Worked Examples 8B  453 
Exercise 8B  464 
Common terms and phrases
arrival assume average balls binomial distribution called central characteristic function coefficient compute conditional considered contains continuous RV correlation customers defective defined definition denoted density function difference distribution with parameter drawn equal equation Example expected experiment exponential distribution find the probability follows formula frequency fx(x fy(y Give given given by f(x heads Hence independent RVs inequality joint pdf least limit mean and variance normal distribution Note obtained occurs Poisson distribution population probability distribution process X(t Proof prove putting queue random variable regression line represents respectively result RV X sample significant Solution standard stationary success theorem tossed trials uniformly distributed values Var(X variance waiting X and Y