The Resource An introduction to probability theory and its applications
An introduction to probability theory and its applications
Resource Information
The item An introduction to probability theory and its applications represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of MissouriSt. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item An introduction to probability theory and its applications represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of MissouriSt. Louis Libraries.
This item is available to borrow from 1 library branch.
 Language
 eng
 Extent
 2 volumes
 Note
 Vol. 2 has series: Wiley series in probability and mathematical statistics
 Contents

 vol. I. The sample space
 Elements of combinatorial analysis. Stirling's formula
 The simplest occupancy and ordering problems
 Combination of events
 Conditional probability. Statistical independence
 The binomial and the 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
 Recurrent events: theory
 Recurrent events: applications to runs and renewal theory
 Random walk and ruin problems
 Markov chains
 Algebraic treatment of finite Markov chains
 The simplest timedependent stochastic processes
 vol. II. The exponential and the uniform densities
 Special densities. Randomization
 Densities in higher dimensions. Normal densities and processes
 Probability measures and spaces
 Probability distributions in R[superscript r]
 A survey of some important distributions and processes
 Laws of large numbers. Applications in analysis
 The basic limit theorems
 Infinitely divisible distributions and semigroups
 Markov processes and semigroups
 Renewal theory
 Random walks in R1
 Laplace transforms. Tauberian theorems. Resolvents
 Applications of Laplace transforms
 Characteristic functions
 Expansions related to the central limit theorem
 Infinitely divisible distributions
 Applications of Fourier methods to random walks
 Harmonic analysis
 Label
 An introduction to probability theory and its applications
 Title
 An introduction to probability theory and its applications
 Language
 eng
 Cataloging source
 DLC
 http://library.link/vocab/creatorDate
 19061970
 http://library.link/vocab/creatorName
 Feller, William
 Illustrations
 illustrations
 Index
 no index present
 Literary form
 non fiction
 Nature of contents
 bibliography
 Series statement
 Wiley mathematical statistics series
 http://library.link/vocab/subjectName

 Probabilities
 Probability
 Label
 An introduction to probability theory and its applications
 Note
 Vol. 2 has series: Wiley series in probability and mathematical statistics
 Bibliography note
 Bibliographical footnotes. "Some books on cagnate subjects": volume 2, pages 615616
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 vol. I. The sample space  Elements of combinatorial analysis. Stirling's formula  The simplest occupancy and ordering problems  Combination of events  Conditional probability. Statistical independence  The binomial and the 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  Recurrent events: theory  Recurrent events: applications to runs and renewal theory  Random walk and ruin problems  Markov chains  Algebraic treatment of finite Markov chains  The simplest timedependent stochastic processes  vol. II. The exponential and the uniform densities  Special densities. Randomization  Densities in higher dimensions. Normal densities and processes  Probability measures and spaces  Probability distributions in R[superscript r]  A survey of some important distributions and processes  Laws of large numbers. Applications in analysis  The basic limit theorems  Infinitely divisible distributions and semigroups  Markov processes and semigroups  Renewal theory  Random walks in R1  Laplace transforms. Tauberian theorems. Resolvents  Applications of Laplace transforms  Characteristic functions  Expansions related to the central limit theorem  Infinitely divisible distributions  Applications of Fourier methods to random walks  Harmonic analysis
 Control code
 853648
 Dimensions
 24 cm
 Extent
 2 volumes
 Lccn
 50008529
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 diagrams
 System control number
 (WaOLN)321216
 Label
 An introduction to probability theory and its applications
 Note
 Vol. 2 has series: Wiley series in probability and mathematical statistics
 Bibliography note
 Bibliographical footnotes. "Some books on cagnate subjects": volume 2, pages 615616
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 vol. I. The sample space  Elements of combinatorial analysis. Stirling's formula  The simplest occupancy and ordering problems  Combination of events  Conditional probability. Statistical independence  The binomial and the 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  Recurrent events: theory  Recurrent events: applications to runs and renewal theory  Random walk and ruin problems  Markov chains  Algebraic treatment of finite Markov chains  The simplest timedependent stochastic processes  vol. II. The exponential and the uniform densities  Special densities. Randomization  Densities in higher dimensions. Normal densities and processes  Probability measures and spaces  Probability distributions in R[superscript r]  A survey of some important distributions and processes  Laws of large numbers. Applications in analysis  The basic limit theorems  Infinitely divisible distributions and semigroups  Markov processes and semigroups  Renewal theory  Random walks in R1  Laplace transforms. Tauberian theorems. Resolvents  Applications of Laplace transforms  Characteristic functions  Expansions related to the central limit theorem  Infinitely divisible distributions  Applications of Fourier methods to random walks  Harmonic analysis
 Control code
 853648
 Dimensions
 24 cm
 Extent
 2 volumes
 Lccn
 50008529
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 diagrams
 System control number
 (WaOLN)321216
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