000 01040pam a2200205 i 4500
999 _c2688
_d2688
001 3157
005 20200720121802.0
008 780914s1979 nyua b 001 0 eng
020 _a0471060828
040 _cDLC
082 0 0 _a519.2
_bB6361
100 1 _aBlake, Ian F.
245 1 3 _aAn introduction to applied probability /
_cIan F. Blake.
260 _aNew York :
_bWiley,
_c1979.
300 _a528 p.
_bill. ;
_c24 cm.
500 _aIncludes index.
650 0 _aProbabilities.
942 _cBK
505 0 _a1. A notion of probability 2. Random variables and their distributions 3. Elements of combinatorial and geometrical probability 4. Conditional probability, bayes theorem and independence 5. Continuous random variables 6. Bivariate random variables and their distributions 7. Functions of random variables 8. Sums of random variables 9. Estimation 10. Testing hypotheses 11. Queueing theory 12. Reliability theory quality control and acceptance sampling 13. Linear models for data 14. Information theory and coding