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Titulos:
An introduction to probability theory and its applications / William Feller
Idiomas:
eng
Lugar de Edición:
New York:
Editor:
Wiley,
Fecha de Edición:
c1950-1966
Notas Formateada:
v.1:Introduction: the nature of probability theory 1.The sample space 2.Elements simplest occupancy and ordering problems 4.Combination of events 5.Conditional probability. Statistical independence 6.The binomial and the Poisson distributions 8.Unlimited sequences of Bernoulli trials 9.Random variables; expectation 10.Laws of large numbers 11.Integral valued variables. Generating function 12.Recurrent events: theory 13.Recurrent events: Applications to runs and renewal theory 14.Random walk and ruin problems 15.Markov chains 16.Algebraic treatment of finite Markov chains 17.The simplest time-dependent stochastic processes -- v. 2: 1.The exponential and the uniform densities 2.Special densities. Randomization 3.Densities in higher dimensions. Normal densities and processes 4.Probability measures and spaces 5.Probability distributions in Rr 6.A survey of some important distributions and processes 7.Law of large numbers. Applications in analysis 8.The based limit theorems 9.Infinitely divisible distributions and semi-groups 10.Markov processes and semi-groups 11.Renewal theory 12.Random walks in R1 13.Laplace transforms. Tauberian theorems. Resolvents 14.Applications of Laplace transforms 15.Characteristic functions 16.Expansions related to the central limit theorem 17.Infinitely divisible distributions 18.Applications of Fourier methods to random walks 19.Harmonic analysis
Palabras clave:
PROBABILIDAD; DISTRIBUCION; PROCESOS ESTOCASTICOS; VARIABLES ALEATORIAS
Leader:
cam
Campo 003:
AR-BaIT
Campo 008:
270401t19501966xxu|||||||||||||||||eng||
Campo 040:
^aITBA^cITBA
Campo 041:
0 ^aeng
Campo 100:
1 ^aFeller, William^96069
Campo 245:
12^aAn introduction to probability theory and its applications /^cWilliam Feller
Campo 246:
Campo 260:
^aNew York:^bWiley,^cc1950-1966
Campo 300:
^a2 v.
Campo 490:
1 ^aWiley series in probability and mathematical statistics
Campo 505:
0 ^av.1:Introduction: the nature of probability theory 1.The sample space 2.Elements simplest occupancy and ordering problems 4.Combination of events 5.Conditional probability. Statistical independence 6.The binomial and the Poisson distributions 8.Unlimited sequences of Bernoulli trials 9.Random variables; expectation 10.Laws of large numbers 11.Integral valued variables. Generating function 12.Recurrent events: theory 13.Recurrent events: Applications to runs and renewal theory 14.Random walk and ruin problems 15.Markov chains 16.Algebraic treatment of finite Markov chains 17.The simplest time-dependent stochastic processes -- v. 2: 1.The exponential and the uniform densities 2.Special densities. Randomization 3.Densities in higher dimensions. Normal densities and processes 4.Probability measures and spaces 5.Probability distributions in Rr 6.A survey of some important distributions and processes 7.Law of large numbers. Applications in analysis 8.The based limit theorems 9.Infinitely divisible distributions and semi-groups 10.Markov processes and semi-groups 11.Renewal theory 12.Random walks in R1 13.Laplace transforms. Tauberian theorems. Resolvents 14.Applications of Laplace transforms 15.Characteristic functions 16.Expansions related to the central limit theorem 17.Infinitely divisible distributions 18.Applications of Fourier methods to random walks 19.Harmonic analysis
Campo 650:
4^91068^aPROBABILIDAD
Campo 650:
4^9435^aDISTRIBUCION
Campo 650:
4^91080^aPROCESOS ESTOCASTICOS
Campo 650:
4^91384^aVARIABLES ALEATORIAS
Proveniencia:
^aInstituto Tecnológico Buenos Aires (ITBA) - Biblioteca
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Institucion:
Instituto Tecnológico Buenos Aires (ITBA)
Dependencia:
Biblioteca

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