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  • 1
    UID:
    b3kat_BV041962421
    Format: 1 Online-Ressource
    ISBN: 9783540065852
    Series Statement: Lecture notes in mathematics 360
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-540-37904-1
    Language: English
    Keywords: Normierter Raum ; Gesetz der großen Zahlen ; Fréchet-Raum ; Gesetz der großen Zahlen ; Gesetz der großen Zahlen ; Wahrscheinlichkeitsrechnung
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  • 2
    UID:
    almahu_BV014936365
    Format: VIII, 113 S.
    ISBN: 0-387-00138-7
    Series Statement: Lecture notes in statistics 172
    Note: Includes bibliographical references and index
    Language: English
    Subjects: Mathematics
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    Keywords: Statistische Schlussweise ; Parametrisches Verfahren ; Nichtparametrisches Verfahren
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  • 3
    UID:
    almahu_BV003159280
    Format: X, 278 S.
    ISBN: 0-12-702150-7
    Series Statement: Mathematics in science and engineering 108
    Language: English
    Subjects: Economics , Mathematics
    RVK:
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    Keywords: Stochastische Integralgleichung ; Stochastisches System ; Integralgleichung ; Random-Integralgleichung ; Random-Integralgleichung
    Author information: Tsokos, Chris P., 1937-
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  • 4
    UID:
    almahu_9947362873502882
    Format: VIII, 117 p. 2 illus. , online resource.
    ISBN: 9780387215495
    Series Statement: Lecture Notes in Statistics, 172
    Content: As statisticians, we are constantly trying to make inferences about the underlying population from which data are observed. This includes estimation and prediction about the underlying population parameters from both complete and incomplete data. Recently, methodology for estimation and prediction from incomplete data has been found useful for what is known as "record-breaking data," that is, data generated from setting new records. There has long been a keen interest in observing all kinds of records-in particular, sports records, financial records, flood records, and daily temperature records, to mention a few. The well-known Guinness Book of World Records is full of this kind of record information. As usual, beyond the general interest in knowing the last or current record value, the statistical problem of prediction of the next record based on past records has also been an important area of record research. Probabilistic and statistical models to describe behavior and make predictions from record-breaking data have been developed only within the last fifty or so years, with a relatively large amount of literature appearing on the subject in the last couple of decades. This book, written from a statistician's perspective, is not a compilation of "records," rather, it deals with the statistical issues of inference from a type of incomplete data, record-breaking data, observed as successive record values (maxima or minima) arising from a phenomenon or situation under study. Prediction is just one aspect of statistical inference based on observed record values.
    Note: 1. Introduction -- 2. Preliminaries and Early Work -- 3. Parametric Inference -- 4. Nonparametric Inference—Genesis -- 5. Smooth Function Estimation -- 6. Bayesian Models -- 7. Record Models with Trend -- References.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9780387001388
    Language: English
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  • 5
    UID:
    almahu_BV003047448
    Format: VI, 111 S.
    ISBN: 3-540-06585-7 , 0-387-06585-7
    Series Statement: Lecture notes in mathematics 360
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Normierter Raum ; Gesetz der großen Zahlen ; Fréchet-Raum ; Gesetz der großen Zahlen ; Gesetz der großen Zahlen ; Wahrscheinlichkeitsrechnung
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  • 6
    UID:
    b3kat_BV003047448
    Format: VI, 111 S.
    ISBN: 3540065857 , 0387065857
    Series Statement: Lecture notes in mathematics 360
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Normierter Raum ; Gesetz der großen Zahlen ; Fréchet-Raum ; Gesetz der großen Zahlen ; Gesetz der großen Zahlen ; Wahrscheinlichkeitsrechnung
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  • 7
    UID:
    gbv_878888942
    Format: Online Ressource (x, 278 pages) , illustrations.
    Edition: Online-Ausg. [S.l.] HathiTrust Digital Library Online-Ausg. [S.l.] : HathiTrust Digital Library
    ISBN: 0127021507 , 9780080956176 , 0080956173 , 9780127021508
    Series Statement: Mathematics in science and engineering v. 108
    Content: Preliminaries and formulution of the stochastic equations -- Some random integral equations of the Volterra type with applications -- Approximate solution of the random Volterra integral equation and an application to population growth modeling -- Stochastic integral equaltion of the Fredholm type and some applications -- Random discrete Fredholm and Volterra systems -- Nonlinear perturbed random integral eqautions and applications to biological systems -- On a nonlinear random integral equation with application to stochastic chemical kinetics -- Stochastic integral equations of the Ito type -- Stochastic nonlinear differential systems -- Stochastic integrodifferential systems
    Note: Includes bibliographical references (pages 250-273) and index. - Print version record , Print version record , Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 , Front Cover; Random Integral Equations With Applications to Life Sciences and Engineering; Copyright Page; Contents; Preface; General Introduction; Chapter I. Preliminaries and Formulation of the Stochastic Equations; 1.0 Introduction; 1.1 Basic Definitions and Theorems from Functional Analysis; 1.2 Probabilistic Definitions; 1.3 The Stochastic Integral Equations and Stochastic Differential Systems; Appendix 1.A; Chapter II. Some Random Integral Equations of the Volterra Type with Applications; 2.0 Introduction; 2.1 The Random Integral Equation; 2.2 Some Applications of the Equation , 2.3 The Random Integral Equation2.4 Applications of the Integral Equation; Chapter III. Approximate Solution of the Random Volterra Integral Equation and an Application to Population Growth Modeling; 3.0 Introduction; 3.1 The Method of Successive Approximations; 3.2 A New Stochastic Formulation of a Population Growth Problem; 3.3 Method of Stochastic Approximation; Chapter IV. A Stochastic Integral Equation of the Fredholm Type and Some Applications; 4.0 Introduction; 4.1 Existence and Uniqueness of a Random Solution; 4.2 Some Special Cases , 4.3 Stochastic Asymptotic Stability of the Random Solution4.4 An Application in Stochastic Control Systems; 4.5 A Random Perturbed Fredholm Integral Equation; Chapter V. Random Discrete Fredholm and Volterra Systems; 5.0 Introduction; 5.1 Existence and Uniqueness of a Random Solution of System (5.0.1); 5.2 Special Cases of Theorem 5.1.2; 5.3 Stochastic Stability of the Random Solution; 5.4 An Approximation to System (5.0.1 ); 5.5 Application to Stochastic Control Systems; Chapter VI. Nonlinear Perturbed Random Integral Equations and Application to Biological Systems; 6.0 Introduction , 6.1 The Random Integral Equation6.2 Applications to Biological Systems; Chapter VII. On a Nonlinear Random Integral Equation with Application to Stochastic Chemical Kinetics; 7.0 Introduction; 7.1 Mathematical Preliminaries; 7.2 An Existence and Uniqueness Theorem; 7.3 A Stochastic Chemical Kinetics Model; Chapter VIII. Stochastic Integral Equations of the Ito Type; 8.0 Introduction; 8.1 Preliminary Remarks; 8.2 On an Ito Stochastic Integral Equation; 8.3 On Ito-Doob-Type Stochastic Integral Equations; Chapter IX. Stochastic Nonlinear Differential Systems; 9.0 Introduction , 9.1 Reduction of the Stochastic Differential Systems9.2 Stochastic Absolute Stability of the Differential Systems; Appendix 9.A; Chapter X. Stochastic Integrodifferential Systems; 10.0 Introduction; 10.1 The Stochastic Integrodifferential Equation; 10.2 Reduction of the Stochastic Nonlinear Integrodifferential Systems with Time Lag; 10.3 Stochastic Absolute Stability of the Systems; Bibliography; Index; , Preliminaries and formulution of the stochastic equations -- Some random integral equations of the Volterra type with applications -- Approximate solution of the random Volterra integral equation and an application to population growth modeling -- Stochastic integral equaltion of the Fredholm type and some applications -- Random discrete Fredholm and Volterra systems -- Nonlinear perturbed random integral eqautions and applications to biological systems -- On a nonlinear random integral equation with application to stochastic chemical kinetics -- Stochastic integral equations of the Ito type -- Stochastic nonlinear differential systems -- Stochastic integrodifferential systems. , Online-Ausg. [S.l.] : HathiTrust Digital Library , Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
    Additional Edition: ISBN 0127021507
    Additional Edition: Erscheint auch als Druck-Ausgabe Tsokos, Chris P Random integral equations with applications to life sciences and engineering New York, Academic Press, 1974
    Language: English
    Keywords: Electronic books ; Electronic books
    URL: Volltext  (lizenzpflichtig)
    Author information: Tsokos, Chris P. 1937-
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