An Introduction to Pobability Theory and its Applications.
Material type:
- 9788126518050
- 519/.1 W6702 P 103954
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Ubhayabharati General Stacks | Non-fiction | 519/.1 W6702 P 103954 (Browse shelf(Opens below)) | Vol.I | Available | 103954 |
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507 R1182 I 108381 Innovative science teaching : for physical science teachers | 509.34 Sa151 V 102235 Vedic science and technology / | 510.76 As394 Q 103964 Wiley's ExamXpert Quantitative Aptitude (QA) Simplified for CAT | 519/.1 W6702 P 103954 An Introduction to Pobability Theory and its Applications. | 520 Sh14 A 102444 Aadhunik Bharat Ka Itihaas | 520 Sh14 P 102614 Prachin Bharat Ka Itihaas | 609.54 Sh14 M 102446 Madhyakaalin Bharat ka Itihaas |
Special Features Table of Content · Introduction: The Nature of Probability Theory · The Sample Space · Elements of Combinatorial Analysis · Fluctuations in Coin Tossing and Random Walks · Combination of Events · Conditional Probability · Stochastic Independence · The Binomial and Poisson Distributions · The Normal Approximation to the Binomial Distribution · Unlimited Sequences of Bernoulli Trials · Random Variables · Expectation · Laws of Large Numbers · Integral Valued Variables · Generating Functions · Compound Distributions · Branching Processes · Recurrent Events · Renewal Theory · Random Walk and Ruin Problems · Markov Chains · Algebraic Treatment of Finite Markov Chains · The Simplest Time-Dependent Stochastic Processes · Answers to Problems
· Introduction: The Nature of Probability Theory
· The Sample Space
· Elements of Combinatorial Analysis
· Fluctuations in Coin Tossing and Random Walks
· Combination of Events
· Conditional Probability
· Stochastic Independence
· The Binomial and Poisson Distributions
· The Normal Approximation to the Binomial Distribution
· Unlimited Sequences of Bernoulli Trials
· Random Variables
· Expectation
· Laws of Large Numbers
· Integral Valued Variables
· Generating Functions
· Compound Distributions
· Branching Processes
· Recurrent Events
· Renewal Theory
· Random Walk and Ruin Problems
· Markov Chains
· Algebraic Treatment of Finite Markov Chains
· The Simplest Time-Dependent Stochastic Processes
· Answers to Problems
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