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