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An Introduction to Mathematical Finance with Applications [[electronic resource] ] : Understanding and Building Financial Intuition / / by Arlie O. Petters, Xiaoying Dong
An Introduction to Mathematical Finance with Applications [[electronic resource] ] : Understanding and Building Financial Intuition / / by Arlie O. Petters, Xiaoying Dong
Autore Petters Arlie O
Edizione [1st ed. 2016.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVII, 483 p. 52 illus., 12 illus. in color.)
Disciplina 330.015195
Collana Springer Undergraduate Texts in Mathematics and Technology
Soggetto topico Economics, Mathematical 
Mathematical models
Probabilities
Actuarial science
Quantitative Finance
Mathematical Modeling and Industrial Mathematics
Probability Theory and Stochastic Processes
Actuarial Sciences
ISBN 1-4939-3783-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- 1. Preliminaries and Financial Markets -- 2. The Time Value of Money -- 3. Markowitz Portfolio Theory -- 4. Capital Market Theory and Portfolio Risk Measures -- 5. Binomial Trees and Security Pricing Modeling -- 6. Stochastic Calculus and Geometric Brownian Motion Model -- 7. Derivatives: Forwards, Futures, Swaps and Options -- 8. The BSM Model and European Option Pricing -- Index. .
Record Nr. UNINA-9910254095903321
Petters Arlie O  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to measure and probability / by J. F. C. Kingman and S. J. Taylor
Introduction to measure and probability / by J. F. C. Kingman and S. J. Taylor
Autore Kingman, J. F. C.
Pubbl/distr/stampa London : Cambridge University Press, 1966
Descrizione fisica x, 401 p. ; 24 cm
Disciplina 519.2
Altri autori (Persone) Taylor, S. J.
Soggetto topico Integrals
Measure theory
Probabilities
Probability theory
ISBN 0521058880
Classificazione AMS 60-01
AMS 60-XX
AMS 28-01
AMS 28-XX
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001022259707536
Kingman, J. F. C.  
London : Cambridge University Press, 1966
Materiale a stampa
Lo trovi qui: Univ. del Salento
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An introduction to measure and probability / J. C. Taylor
An introduction to measure and probability / J. C. Taylor
Autore Taylor, John Christopher
Pubbl/distr/stampa New York : Springer-Verlag, c1997
Descrizione fisica xvii, 299 p. : ill. ; 24 cm
Disciplina 519.2
Soggetto topico Measure theory
Probabilities
ISBN 0387948309
Classificazione AMS 60-01
QA325.T39
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001022349707536
Taylor, John Christopher  
New York : Springer-Verlag, c1997
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Introduction to Measure Theory and Functional Analysis [[electronic resource] /] / by Piermarco Cannarsa, Teresa D'Aprile
Introduction to Measure Theory and Functional Analysis [[electronic resource] /] / by Piermarco Cannarsa, Teresa D'Aprile
Autore Cannarsa Piermarco
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIV, 314 p. 8 illus., 1 illus. in color.)
Disciplina 510
Collana La Matematica per il 3+2
Soggetto topico Measure theory
Functional analysis
Probabilities
Economics, Mathematical 
Mathematical physics
Physics
Measure and Integration
Functional Analysis
Probability Theory and Stochastic Processes
Quantitative Finance
Mathematical Applications in the Physical Sciences
Mathematical Methods in Physics
ISBN 3-319-17019-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Part I Measure and Integration -- 2 Part II Functional Analysis -- 3 Part III Selected Topics -- 4 Appendices -- 5 Index.
Record Nr. UNINA-9910299767603321
Cannarsa Piermarco  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to modern analysis [[electronic resource] /] / Shmuel Kantorovitz
Introduction to modern analysis [[electronic resource] /] / Shmuel Kantorovitz
Autore Kantorovitz Shmuel <1935->
Pubbl/distr/stampa Oxford, : Oxford University Press, 2006
Descrizione fisica 1 online resource (447 p.)
Disciplina 515
Collana Oxford mathematics
Oxford graduate texts in mathematics
Soggetto topico Mathematical analysis
Probabilities
Soggetto genere / forma Electronic books.
ISBN 1-280-90428-3
0-19-152355-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 1 Measures; 2 Construction of measures; 3 Measure and topology; 4 Continuous linear functionals; 5 Duality; 6 Bounded operators; 7 Banach algebras; 8 Hilbert spaces; 9 Integral representation; 10 Unbounded operators; Application I: Probability; Application II: Distributions; Bibliography; Index
Record Nr. UNINA-9910453343703321
Kantorovitz Shmuel <1935->  
Oxford, : Oxford University Press, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
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An Introduction to Optimal Control of FBSDE with Incomplete Information [[electronic resource] /] / by Guangchen Wang, Zhen Wu, Jie Xiong
An Introduction to Optimal Control of FBSDE with Incomplete Information [[electronic resource] /] / by Guangchen Wang, Zhen Wu, Jie Xiong
Autore Wang Guangchen
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XI, 116 p.)
Disciplina 532.5015192
Collana SpringerBriefs in Mathematics
Soggetto topico Calculus of variations
Probabilities
Actuarial science
Calculus of Variations and Optimal Control; Optimization
Probability Theory and Stochastic Processes
Actuarial Sciences
ISBN 3-319-79039-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Filtering of BSDE and FBSDE -- Optimal Control of Fully Coupled FBSDE with Partial Information -- Optimal Control of FBSDE with Partially Observable Information -- LQ Optimal Control Models with Incomplete Information -- Appendix: BSDE and FBSDE.
Record Nr. UNINA-9910300102003321
Wang Guangchen  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to probability
Introduction to probability
Autore Grinstead Charles M (Charles Miller), <1952->
Pubbl/distr/stampa American Mathematical Society
Disciplina 519.2
Altri autori (Persone) SnellJ. Laurie <1925-> (James Laurie)
Soggetto topico Probabilities
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910832990603321
Grinstead Charles M (Charles Miller), <1952->
American Mathematical Society
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to Probability and Random Variables / / Orhan Gazi
Introduction to Probability and Random Variables / / Orhan Gazi
Autore Gazi Orhan
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Descrizione fisica 1 online resource (239 pages)
Disciplina 519.2
Soggetto topico Probabilities
Random variables
ISBN 9783031318160
9783031318153
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Chapter 1: Experiments, Sample Spaces, Events, and Probability Laws -- 1.1 Fundamental Definitions: Experiment, Sample Space, Event -- 1.2 Operations on Events -- 1.3 Probability and Probabilistic Law -- 1.4 Discrete Probability Law -- 1.5 Joint Experiment -- 1.6 Properties of the Probability Function -- 1.7 Conditional Probability -- Chapter 2: Total Probability Theorem, Independence, Combinatorial -- 2.1 Total Probability Theorem, and Bayes´ Rule -- 2.1.1 Total Probability Theorem -- 2.1.2 Bayes´ Rule -- 2.2 Multiplication Rule -- 2.3 Independence -- 2.3.1 Independence of Several Events -- 2.4 Conditional Independence -- 2.5 Independent Trials and Binomial Probabilities -- 2.6 The Counting Principle -- 2.7 Permutation -- 2.8 Combinations -- 2.9 Partitions -- 2.10 Case Study: Modeling of Binary Communication Channel -- Problems -- Chapter 3: Discrete Random Variables -- 3.1 Discrete Random Variables -- 3.2 Defining Events Using Random Variables -- 3.3 Probability Mass Function for Discrete Random Variables -- 3.4 Cumulative Distribution Function -- 3.5 Expected Value (Mean Value), Variance, and Standard Deviation -- 3.5.1 Expected Value -- 3.5.2 Variance -- 3.5.3 Standard Deviation -- 3.6 Expected Value and Variance of Functions of a Random Variable -- 3.7 Some Well-Known Discrete Random Variables in Mathematic Literature -- 3.7.1 Binomial Random Variable -- 3.7.2 Geometric Random Variable -- 3.7.3 Poisson Random Variable -- 3.7.4 Bernoulli Random Variable -- 3.7.5 Discrete Uniform Random Variable -- Problems -- Chapter 4: Functions of Random Variables -- 4.1 Probability Mass Function for Functions of a Discrete Random Variable -- 4.2 Joint Probability Mass Function -- 4.3 Conditional Probability Mass Function -- 4.4 Joint Probability Mass Function of Three or More Random Variables.
4.5 Functions of Two Random Variables -- 4.6 Conditional Probability Mass Function -- 4.7 Conditional Mean Value -- 4.8 Independence of Random Variables -- 4.8.1 Independence of a Random Variable from an Event -- 4.8.2 Independence of Several Random Variables -- Problems -- Chapter 5: Continuous Random Variables -- 5.1 Continuous Probability Density Function -- 5.2 Continuous Uniform Random Variable -- 5.3 Expectation and Variance for Continuous Random Variables -- 5.4 Expectation and Variance for Functions of Random Variables -- 5.5 Gaussian or Normal Random Variable -- 5.5.1 Standard Random Variable -- 5.6 Exponential Random Variable -- 5.7 Cumulative Distribution Function -- 5.7.1 Properties of Cumulative Distribution Function -- 5.8 Impulse Function -- 5.9 The Unit Step Function -- 5.10 Conditional Probability Density Function -- 5.11 Conditional Expectation -- 5.12 Conditional Variance -- Problems -- Chapter 6: More Than One Random Variables -- 6.1 More Than One Continuous Random Variable for the Same Continuous Experiment -- 6.2 Conditional Probability Density Function -- 6.3 Conditional Expectation -- 6.3.1 Bayes´ Rule for Continuous Distribution -- 6.4 Conditional Expectation -- 6.5 Conditional Variance -- 6.6 Independence of Continuous Random Variables -- 6.7 Joint Cumulative Distribution Function -- 6.7.1 Three or More Random Variables -- 6.7.2 Background Information: Reminder for Double Integration -- 6.7.3 Covariance and Correlation -- 6.7.4 Correlation Coefficient -- 6.8 Distribution for Functions of Random Variables -- 6.9 Probability Density Function for Function of Two Random Variables -- 6.10 Alternative Formula for the Probability Density Function of a Random Variable -- 6.11 Probability Density Function Calculation for the Functions of Two Random Variables Using Cumulative Distribution Function.
6.12 Two Functions of Two Random Variables -- Bibliography -- Index.
Record Nr. UNINA-9910728384203321
Gazi Orhan  
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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An introduction to probability and statistical inference / / George G. Roussas
An introduction to probability and statistical inference / / George G. Roussas
Autore Roussas George G.
Edizione [Second edition.]
Pubbl/distr/stampa Amsterdam : , : Elsevier, , [2015]
Descrizione fisica 1 online resource (1 v.) : illustrations
Disciplina 519.2
Soggetto topico Probabilities
Mathematical statistics
Soggetto genere / forma Electronic books.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Some motivating examples and some fundamental concepts -- The concept of probability and some basic results -- Numerical characteristics of a random variable, some special random variables -- Joint and conditional P.D.F.'s, conditional expectation and variance, moment generating function, covariance and correlation coefficient -- Independence of random variables and some applications -- Transformation of random variables -- Some modes of convergence of random variables, applications -- An overview of statistical inference -- Point estimation -- Confidence intervals and confidence regions -- Testing hypotheses -- More about testing hypotheses -- A simple linear regression model -- Two analysis of variance models -- Some topics in nonparametric inference.
Record Nr. UNINA-9910460065903321
Roussas George G.  
Amsterdam : , : Elsevier, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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An introduction to probability and statistical inference / / George G. Roussas
An introduction to probability and statistical inference / / George G. Roussas
Autore Roussas George G.
Edizione [Second edition.]
Pubbl/distr/stampa Amsterdam : , : Elsevier, , [2015]
Descrizione fisica 1 online resource (1 v.) : illustrations
Disciplina 519.2
Soggetto topico Probabilities
Mathematical statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Some motivating examples and some fundamental concepts -- The concept of probability and some basic results -- Numerical characteristics of a random variable, some special random variables -- Joint and conditional P.D.F.'s, conditional expectation and variance, moment generating function, covariance and correlation coefficient -- Independence of random variables and some applications -- Transformation of random variables -- Some modes of convergence of random variables, applications -- An overview of statistical inference -- Point estimation -- Confidence intervals and confidence regions -- Testing hypotheses -- More about testing hypotheses -- A simple linear regression model -- Two analysis of variance models -- Some topics in nonparametric inference.
Record Nr. UNINA-9910787128303321
Roussas George G.  
Amsterdam : , : Elsevier, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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