top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Discrete q-distributions / / Charalambos A. Charalambides
Discrete q-distributions / / Charalambos A. Charalambides
Autore Charalambides Ch. A.
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2016
Descrizione fisica 1 online resource (297 pages)
Disciplina 519.24
Collana THEi Wiley ebooks
Soggetto topico Distribution (Probability theory)
Stochastic sequences
Discrete geometry
Combinatorial geometry
ISBN 1-119-11905-7
1-119-11912-X
1-119-11910-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Basic q-combinatorics and q-hypergeometric series -- Success probability varying with the number of trials -- Success probability varying with the number of successes -- Success probability varying with the number of successes and the number of trials -- Limiting distributions.
Record Nr. UNINA-9910208814003321
Charalambides Ch. A.  
Hoboken, New Jersey : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discrete q-distributions / / Charalambos A. Charalambides
Discrete q-distributions / / Charalambos A. Charalambides
Autore Charalambides Ch. A.
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2016
Descrizione fisica 1 online resource (297 pages)
Disciplina 519.24
Collana THEi Wiley ebooks
Soggetto topico Distribution (Probability theory)
Stochastic sequences
Discrete geometry
Combinatorial geometry
ISBN 1-119-11905-7
1-119-11912-X
1-119-11910-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Basic q-combinatorics and q-hypergeometric series -- Success probability varying with the number of trials -- Success probability varying with the number of successes -- Success probability varying with the number of successes and the number of trials -- Limiting distributions.
Record Nr. UNINA-9910822199603321
Charalambides Ch. A.  
Hoboken, New Jersey : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discrete-event control of stochastic networks : multimodularity and regularity [e-book] / by Eitan Altman, Bruno Gaujal, Arie Hordijk
Discrete-event control of stochastic networks : multimodularity and regularity [e-book] / by Eitan Altman, Bruno Gaujal, Arie Hordijk
Autore Altman, Eitan
Pubbl/distr/stampa Berlin : Springer, 2003
Descrizione fisica 1 online resource (xiv, 313 p.)
Disciplina 519.2
Altri autori (Persone) Gaujal, Brunoauthor
Hordijk, Arie
Collana Lecture Notes in Mathematics, 0075-8434 ; 1829
Soggetto topico Mathematics
Systems theory
Combinatorics
Mathematical optimization
Distribution (Probability theory)
ISBN 9783540397052
Classificazione AMS 60-XX
AMS 60C05
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991002213309707536
Altman, Eitan  
Berlin : Springer, 2003
Risorse elettroniche
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Disorder and critical phenomena through basic probability models [e-book] : école d'été de probabilités de Saint-Flour, 2010 / by Giambattista Giacomin
Disorder and critical phenomena through basic probability models [e-book] : école d'été de probabilités de Saint-Flour, 2010 / by Giambattista Giacomin
Autore Giacomin, Giambattista
Pubbl/distr/stampa Berlin : Springer, 2011
Descrizione fisica 1 online resource (xi, 130 p.)
Disciplina 519.2
Collana Lecture Notes in Mathematics, 0075-8434 ; 2025
Soggetto topico Mathematics
Distribution (Probability theory)
Mathematical physics
ISBN 9783642211560
Classificazione AMS 82B44
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991002259589707536
Giacomin, Giambattista  
Berlin : Springer, 2011
Risorse elettroniche
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Distribution models theory [[electronic resource] /] / editors Rafael Herrerías Pleguezuelo, José Callejón Céspedes, and José Manual Herrerías Velasco
Distribution models theory [[electronic resource] /] / editors Rafael Herrerías Pleguezuelo, José Callejón Céspedes, and José Manual Herrerías Velasco
Pubbl/distr/stampa New Jersey, : World Scientific, c2006
Descrizione fisica 1 online resource (307 p.)
Disciplina 511.3/4
Altri autori (Persone) Herrerías-PleguezueloRafael
Callejón-CéspedesJosé
Herrerías--VelascoJosé Manual
Soggetto topico Model theory
Distribution (Probability theory)
Soggetto genere / forma Electronic books.
ISBN 1-281-92454-7
9786611924546
981-277-299-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Preface; Chapter 1 Modeling Income Distributions Using Elevated Distributions on a Bounded Domain; 1. Introduction; 2. Cumulative distribution function and density function; 3. Properties of Standard RGTL distributions; 4. Maximum likelihood estimation
5. Fitting 2001 U.S. income distribution data 6. Concluding remarks; Acknowledgments; References; Chapter 2 Making Copulas Under Uncertainty; 1. Introduction; 2. Initial approach; 3. FGM distribution functions; 4. The Dorp and Kotz's distribution families and its subfamilies
5. An approach to the problem: Application of the MTDF with van Dorp and Kotz's marginals in an uncertainty environment 6. A solution; 7. A valuation method; 8. Practical application of the MTDF with van Dorp and Kotz's marginals under uncertainty environment; 9. Conclusions
References Chapter 3 Valuation Method of the Two Survival Functions; 1. Introduction; 2. Valuation method of the two survival functions; 3. VMTS from a multidimensional quality index; 4. Practical application; 5. Conclusions; References
Chapter 4 Weighting Tools and Alternative Techniques to Generate Weighted Probability Models in Valuation Theory 1. Introduction; 2. Techniques to generate weighted models valuation; 3. New technique to generate weighted models ; 4. Practical application; 5. Comments and conclusions
References
Record Nr. UNINA-9910451949603321
New Jersey, : World Scientific, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distribution models theory [[electronic resource] /] / editors Rafael Herrerías Pleguezuelo, José Callejón Céspedes, and José Manual Herrerías Velasco
Distribution models theory [[electronic resource] /] / editors Rafael Herrerías Pleguezuelo, José Callejón Céspedes, and José Manual Herrerías Velasco
Pubbl/distr/stampa New Jersey, : World Scientific, c2006
Descrizione fisica 1 online resource (307 p.)
Disciplina 511.3/4
Altri autori (Persone) Herrerías-PleguezueloRafael
Callejón-CéspedesJosé
Herrerías--VelascoJosé Manual
Soggetto topico Model theory
Distribution (Probability theory)
ISBN 1-281-92454-7
9786611924546
981-277-299-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Preface; Chapter 1 Modeling Income Distributions Using Elevated Distributions on a Bounded Domain; 1. Introduction; 2. Cumulative distribution function and density function; 3. Properties of Standard RGTL distributions; 4. Maximum likelihood estimation
5. Fitting 2001 U.S. income distribution data 6. Concluding remarks; Acknowledgments; References; Chapter 2 Making Copulas Under Uncertainty; 1. Introduction; 2. Initial approach; 3. FGM distribution functions; 4. The Dorp and Kotz's distribution families and its subfamilies
5. An approach to the problem: Application of the MTDF with van Dorp and Kotz's marginals in an uncertainty environment 6. A solution; 7. A valuation method; 8. Practical application of the MTDF with van Dorp and Kotz's marginals under uncertainty environment; 9. Conclusions
References Chapter 3 Valuation Method of the Two Survival Functions; 1. Introduction; 2. Valuation method of the two survival functions; 3. VMTS from a multidimensional quality index; 4. Practical application; 5. Conclusions; References
Chapter 4 Weighting Tools and Alternative Techniques to Generate Weighted Probability Models in Valuation Theory 1. Introduction; 2. Techniques to generate weighted models valuation; 3. New technique to generate weighted models ; 4. Practical application; 5. Comments and conclusions
References
Record Nr. UNINA-9910778260503321
New Jersey, : World Scientific, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distribution models theory [[electronic resource] /] / editors Rafael Herrerías Pleguezuelo, José Callejón Céspedes, and José Manual Herrerías Velasco
Distribution models theory [[electronic resource] /] / editors Rafael Herrerías Pleguezuelo, José Callejón Céspedes, and José Manual Herrerías Velasco
Pubbl/distr/stampa New Jersey, : World Scientific, c2006
Descrizione fisica 1 online resource (307 p.)
Disciplina 511.3/4
Altri autori (Persone) Herrerías-PleguezueloRafael
Callejón-CéspedesJosé
Herrerías--VelascoJosé Manual
Soggetto topico Model theory
Distribution (Probability theory)
ISBN 1-281-92454-7
9786611924546
981-277-299-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Preface; Chapter 1 Modeling Income Distributions Using Elevated Distributions on a Bounded Domain; 1. Introduction; 2. Cumulative distribution function and density function; 3. Properties of Standard RGTL distributions; 4. Maximum likelihood estimation
5. Fitting 2001 U.S. income distribution data 6. Concluding remarks; Acknowledgments; References; Chapter 2 Making Copulas Under Uncertainty; 1. Introduction; 2. Initial approach; 3. FGM distribution functions; 4. The Dorp and Kotz's distribution families and its subfamilies
5. An approach to the problem: Application of the MTDF with van Dorp and Kotz's marginals in an uncertainty environment 6. A solution; 7. A valuation method; 8. Practical application of the MTDF with van Dorp and Kotz's marginals under uncertainty environment; 9. Conclusions
References Chapter 3 Valuation Method of the Two Survival Functions; 1. Introduction; 2. Valuation method of the two survival functions; 3. VMTS from a multidimensional quality index; 4. Practical application; 5. Conclusions; References
Chapter 4 Weighting Tools and Alternative Techniques to Generate Weighted Probability Models in Valuation Theory 1. Introduction; 2. Techniques to generate weighted models valuation; 3. New technique to generate weighted models ; 4. Practical application; 5. Comments and conclusions
References
Record Nr. UNINA-9910813212903321
New Jersey, : World Scientific, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distribution theory [[electronic resource] ] : with applications in engineering and physics / / Petre P. Teodorescu, Wilhelm W. Kecs, and Antonela Toma
Distribution theory [[electronic resource] ] : with applications in engineering and physics / / Petre P. Teodorescu, Wilhelm W. Kecs, and Antonela Toma
Autore Teodorescu P. P
Pubbl/distr/stampa Weinheim, Germany, : Wiley, 2013
Descrizione fisica 1 online resource (395 p.)
Disciplina 515.782
Altri autori (Persone) KecsWilhelm W
TomaAntonela
Soggetto topico Distribution (Probability theory)
ISBN 3-527-65363-5
3-527-65361-9
1-299-24132-8
3-527-65364-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Distribution Theory; Contents; Preface; 1 Introduction to the Distribution Theory; 1.1 Short History; 1.2 Fundamental Concepts and Formulae; 1.2.1 Normed Vector Spaces: Metric Spaces; 1.2.2 Spaces of Test Functions; 1.2.3 Spaces of Distributions; 1.2.4 Characterization Theorems of Distributions; 1.3 Operations with Distributions; 1.3.1 The Change of Variables in Distributions; 1.3.2 Translation, Symmetry and Homothety of Distributions; 1.3.3 Differentiation of Distributions; 1.3.4 The Fundamental Solution of a Linear Differential Operator; 1.3.5 The Derivation of the Homogeneous Distributions
1.3.6 Dirac Representative Sequences: Criteria for the Representative Dirac Sequences1.3.7 Distributions Depending on a Parameter; 1.3.8 Direct Product and Convolution Product of Functions and Distributions; 1.3.9 Partial Convolution Product of Functions; 2 Integral Transforms of Distributions; 2.1 Fourier Series and Series of Distributions; 2.1.1 Sequences and Series of Distributions; 2.1.2 Expansion of Distributions into Fourier Series; 2.1.3 Expansion of Singular Distributions into Fourier Series; 2.2 Fourier Transforms of Functions and Distributions; 2.2.1 Fourier Transforms of Functions
2.2.2 Fourier Transform and the Convolution Product2.2.3 Partial Fourier Transform of Functions; 2.2.4 Fourier Transform of Distributions from the Spaces S and D(Rn); 2.3 Laplace Transforms of Functions and Distributions; 2.3.1 Laplace Transforms of Functions; 2.3.2 Laplace Transforms of Distributions; 3 Variational Calculus and Differential Equations in Distributions; 3.1 Variational Calculus in Distributions; 3.1.1 Equations of the Euler-Poisson Type; 3.2 Ordinary Differential Equations; 3.3 Convolution Equations; 3.3.1 Convolution Algebras
3.3.2 Convolution Algebra D'+: Convolution Equations in D'+3.4 The Cauchy Problem for Linear Differential Equations with Constant Coefficients; 3.5 Partial Differential Equations: Fundamental Solutions and Solving the Cauchy Problem; 3.5.1 Fundamental Solution for the Longitudinal Vibrations of Viscoelastic Bars of Maxwell Type; 3.6 Wave Equation and the Solution of the Cauchy Problem; 3.7 Heat Equation and Cauchy Problem Solution; 3.8 Poisson Equation: Fundamental Solutions; 3.9 Green's Functions: Methods of Calculation; 3.9.1 Heat Conduction Equation
3.9.2 Green's Function for the Vibrating String4 Representation in Distributions of Mechanical and Physical Quantities; 4.1 Representation of Concentrated Forces; 4.2 Representation of Concentrated Moments; 4.2.1 Concentrate Moment of Linear Dipole Type; 4.2.2 Rotational Concentrated Moment (Center of Rotation); 4.2.3 Concentrated Moment of Plane Dipole Type (Center of Dilatation or Contraction); 4.3 Representation in Distributions of the Shear Forces and the Bending Moments; 4.3.1 Concentrated Force of Magnitude P Applied at the Point c in [a,b]
4.3.2 Concentrated Moment of Magnitude m Applied at the Point c in [a,b]
Record Nr. UNINA-9910141646603321
Teodorescu P. P  
Weinheim, Germany, : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distribution theory [[electronic resource] ] : with applications in engineering and physics / / Petre P. Teodorescu, Wilhelm W. Kecs, and Antonela Toma
Distribution theory [[electronic resource] ] : with applications in engineering and physics / / Petre P. Teodorescu, Wilhelm W. Kecs, and Antonela Toma
Autore Teodorescu P. P
Edizione [1st ed.]
Pubbl/distr/stampa Weinheim, Germany, : Wiley, 2013
Descrizione fisica 1 online resource (395 p.)
Disciplina 515.782
Altri autori (Persone) KecsWilhelm W
TomaAntonela
Soggetto topico Distribution (Probability theory)
ISBN 3-527-65363-5
3-527-65361-9
1-299-24132-8
3-527-65364-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Distribution Theory; Contents; Preface; 1 Introduction to the Distribution Theory; 1.1 Short History; 1.2 Fundamental Concepts and Formulae; 1.2.1 Normed Vector Spaces: Metric Spaces; 1.2.2 Spaces of Test Functions; 1.2.3 Spaces of Distributions; 1.2.4 Characterization Theorems of Distributions; 1.3 Operations with Distributions; 1.3.1 The Change of Variables in Distributions; 1.3.2 Translation, Symmetry and Homothety of Distributions; 1.3.3 Differentiation of Distributions; 1.3.4 The Fundamental Solution of a Linear Differential Operator; 1.3.5 The Derivation of the Homogeneous Distributions
1.3.6 Dirac Representative Sequences: Criteria for the Representative Dirac Sequences1.3.7 Distributions Depending on a Parameter; 1.3.8 Direct Product and Convolution Product of Functions and Distributions; 1.3.9 Partial Convolution Product of Functions; 2 Integral Transforms of Distributions; 2.1 Fourier Series and Series of Distributions; 2.1.1 Sequences and Series of Distributions; 2.1.2 Expansion of Distributions into Fourier Series; 2.1.3 Expansion of Singular Distributions into Fourier Series; 2.2 Fourier Transforms of Functions and Distributions; 2.2.1 Fourier Transforms of Functions
2.2.2 Fourier Transform and the Convolution Product2.2.3 Partial Fourier Transform of Functions; 2.2.4 Fourier Transform of Distributions from the Spaces S and D(Rn); 2.3 Laplace Transforms of Functions and Distributions; 2.3.1 Laplace Transforms of Functions; 2.3.2 Laplace Transforms of Distributions; 3 Variational Calculus and Differential Equations in Distributions; 3.1 Variational Calculus in Distributions; 3.1.1 Equations of the Euler-Poisson Type; 3.2 Ordinary Differential Equations; 3.3 Convolution Equations; 3.3.1 Convolution Algebras
3.3.2 Convolution Algebra D'+: Convolution Equations in D'+3.4 The Cauchy Problem for Linear Differential Equations with Constant Coefficients; 3.5 Partial Differential Equations: Fundamental Solutions and Solving the Cauchy Problem; 3.5.1 Fundamental Solution for the Longitudinal Vibrations of Viscoelastic Bars of Maxwell Type; 3.6 Wave Equation and the Solution of the Cauchy Problem; 3.7 Heat Equation and Cauchy Problem Solution; 3.8 Poisson Equation: Fundamental Solutions; 3.9 Green's Functions: Methods of Calculation; 3.9.1 Heat Conduction Equation
3.9.2 Green's Function for the Vibrating String4 Representation in Distributions of Mechanical and Physical Quantities; 4.1 Representation of Concentrated Forces; 4.2 Representation of Concentrated Moments; 4.2.1 Concentrate Moment of Linear Dipole Type; 4.2.2 Rotational Concentrated Moment (Center of Rotation); 4.2.3 Concentrated Moment of Plane Dipole Type (Center of Dilatation or Contraction); 4.3 Representation in Distributions of the Shear Forces and the Bending Moments; 4.3.1 Concentrated Force of Magnitude P Applied at the Point c in [a,b]
4.3.2 Concentrated Moment of Magnitude m Applied at the Point c in [a,b]
Record Nr. UNINA-9910821106503321
Teodorescu P. P  
Weinheim, Germany, : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distribution theory of runs and patterns and its applications [[electronic resource] ] : a finite Markov chain imbedding approach / / James C. Fu, W.Y. Wendy Lou
Distribution theory of runs and patterns and its applications [[electronic resource] ] : a finite Markov chain imbedding approach / / James C. Fu, W.Y. Wendy Lou
Autore Fu James C
Pubbl/distr/stampa River Edge, N.J., : World Scientific, c2003
Descrizione fisica 1 online resource (176 p.)
Disciplina 519.233
Altri autori (Persone) LouW. Y. Wendy
Soggetto topico Markov processes
Random variables
Distribution (Probability theory)
Soggetto genere / forma Electronic books.
ISBN 1-281-93798-3
9786611937980
981-277-920-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents ; Preface ; Chapter 1 Introduction ; Chapter 2 Finite Markov Chain Imbedding ; 2.1 Finite Markov Chain ; 2.2 Chapman-Kolmogorov Equation ; 2.3 Tree-Structured Markov Chain ; 2.4 Runs and Patterns ; 2.5 Finite Markov Chain Imbedding ; 2.6 Absorbing State
2.7 First-Entry Probability Chapter 3 Runs and Patterns in a Sequence of Two-State Trials ; 3.1 Introduction ; 3.2 Number of Non-Overlapping Consecutive k Successes ; 3.3 Number of Success Runs of Length Greater Than or Equal to k ; 3.4 Number of Overlapping Consecutive k Successes
3.5 Number of Runs of Exactly k Successes 3.6 The Distribution of the Longest Success Run ; 3.7 Waiting-Time Distribution of a Success Run ; 3.8 Numerical Examples ; 3.9 Number of Successes in Success Runs of Length Greater Than or Equal to k
Chapter 4 Runs and Patterns in Multi-State Trials 4.1 Introduction ; 4.2 Forward and Backward Principle with Non-Overlap Counting ; 4.3 Overlap Counting ; 4.4 Series Pattern ; 4.5 Joint Distribution ; Chapter 5 Waiting-Time Distributions ; 5.1 Introduction
5.2 The Waiting Time of A Simple Pattern 5.3 The Waiting Time of A Compound Pattern ; 5.4 Probability Generating Function ; 5.5 Mean of Waiting Time W(A) ; 5.6 More About Generating Functions ; 5.7 Spectrum Analysis and Large Deviation Approximation
5.8 Probability Generating Function of W(r A)
Record Nr. UNINA-9910454339703321
Fu James C  
River Edge, N.J., : World Scientific, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui