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  • 1
    Book
    Book
    Amsterdam [u.a.] :Elsevier Scientific Publ.,
    UID:
    almahu_BV001990444
    Format: XI, 382 S. : graph. Darst.
    ISBN: 0-444-41302-2
    Series Statement: Developments in sedimentology 19
    Language: English
    Subjects: Geography , Mathematics
    RVK:
    RVK:
    Keywords: Stratigraphie ; Modell ; Sedimentation ; Modell
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Amsterdam [u.a.] :Elsevier Scientific Publ.,
    UID:
    almafu_BV001990444
    Format: XI, 382 S. : graph. Darst.
    ISBN: 0-444-41302-2
    Series Statement: Developments in sedimentology 19
    Language: English
    Subjects: Geography , Mathematics
    RVK:
    RVK:
    Keywords: Stratigraphie ; Modell ; Sedimentation ; Modell
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Amsterdam [u.a.] : Elsevier
    UID:
    gbv_043498671
    Format: XI, 382 S. , graph. Darst.
    ISBN: 0444413022
    Series Statement: Developments in sedimentology 19
    Note: Literaturverz. S. [371] - 377
    Language: English
    Subjects: Earth Sciences , Geography
    RVK:
    RVK:
    Keywords: Stratigraphie ; Modell ; Sedimentation ; Modell
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Book
    Book
    Amsterdam [u.a.] : Elsevier Scientific Publ.
    UID:
    b3kat_BV001990444
    Format: XI, 382 S. , graph. Darst.
    ISBN: 0444413022
    Series Statement: Developments in sedimentology 19
    Language: English
    Subjects: Geography , Mathematics
    RVK:
    RVK:
    Keywords: Stratigraphie ; Modell ; Sedimentation ; Modell
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier Scientific Pub. Co.,
    UID:
    edoccha_9960073394402883
    Format: 1 online resource (396 p.)
    ISBN: 1-281-77212-7 , 9786611772123 , 0-08-086931-9
    Series Statement: Developments in sedimentology ; 19
    Content: Sedimentation Models and Quantitative Stratigraphy
    Note: Description based upon print version of record. , Front Cover; Sedimentation Models and Quantitative Stratigraphy; Copyright Page; Contents; Preface; Further Reading; Chapter 1. Sedimentation and environment; 1.1 Introduction; 1.2 The relationship between observed rocks and the sedimentary environment; 1.3 The environment; 1.4 The environmental model; 1.5 Organization of the environment; 1.6 The classification of sedimentary environments; 1.7 Sedimentation processes; 1.8 Observation and interpretation; 1.9 Conclusions; Chapter 2. Sediment and time; 2.1 Introduction; 2.2 The principle of superposition; 2.3 Sedimentary bedding , 2.4 Rates of sedimentation2.5 Stratigraphical units and time; 2.6 Time and the sedimentary environment; 2.7 Summary; Chapter 3. Deterministic models; 3.1 Introduction; 3.2 Deterministic and stochastic models; 3.3 The use of models in stratigraphic analysis; 3.4 Theoretical versus empirical models; 3.5 The optimization of models; 3.6 The evaluation of models; 3.7 Erosion and deposition models; 3.8 Sedimentation in subsiding basins; 3.9 Sedimentation rates and basin control; Chapter 4. Stochastic models; 4.1 Introduction; 4.2 The basic elements of probability theory; 4.3 The simple random walk , 4.4 The random walk as a model of bed formation4.5 The Kolmogorov model of bed formation; 4.6 The Poisson process; 4.7 Othercontinuousdistributions; 4.8 Continuous variable models and queues; 4.9 The use of stochastic models in stratigraphy; Chapter 5. Markov chains; 5.1 Introduction; 5.2 The Markov process; 5.3 The n-step transition probability; 5.4 Recurrence and classification of states; 5.5 The eigenvalues of a Markov matrix; 5.6 Higher-order chains; 5.7 The estimation of transition probability matrices and tests for the Markov property , 5.8 Structuring stratigraphic sections for a Markov-chain model5.9 Structuring by the equal-interval method; 5.10 Structuring by lithological states; 5.11 The Markov property and sedimentation; Chapter 6. Renewal processes and semi-Markov processes; 6.1 Introduction; 6.2 Renewal processes; 6.3 Sedimentation as a renewal process; 6.4 The thickness distributions of beds representing equal time; 6.5 The thickness distribution of sedimentary beds; 6.6 Semi-Markov chains; 6.7 The semi-Markov chain as a stratigraphic model; 6.8 The analysis of sections in terms of the semi-Markov model , 6.9 Sedimentation-erosion processes6.10 Concluding remarks; Chapter 7. Stationary stochastic processes and time-series analysis; 7.1 Introduction; 7.2 The description of random variables; 7.3 Simple stationary time processes; 7.4 Autoregressive processes; 7.5 Oscillating and cyclical sedimentation models; 7.6 The estimation and testing of correlograms; 7.7 The interpretation of empirical correlograms; 7.8 Multiple time-series analysis; Chapter 8. The spectral analysis of geological data; 8.1 Introduction; 8.2 The periodogram; 8.3 The spectral analysis of random processes , 8.4 Examples of spectral distributions and linear operations on processes , English
    Additional Edition: ISBN 0-444-41302-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier Scientific Pub. Co.,
    UID:
    edocfu_9960073394402883
    Format: 1 online resource (396 p.)
    ISBN: 1-281-77212-7 , 9786611772123 , 0-08-086931-9
    Series Statement: Developments in sedimentology ; 19
    Content: Sedimentation Models and Quantitative Stratigraphy
    Note: Description based upon print version of record. , Front Cover; Sedimentation Models and Quantitative Stratigraphy; Copyright Page; Contents; Preface; Further Reading; Chapter 1. Sedimentation and environment; 1.1 Introduction; 1.2 The relationship between observed rocks and the sedimentary environment; 1.3 The environment; 1.4 The environmental model; 1.5 Organization of the environment; 1.6 The classification of sedimentary environments; 1.7 Sedimentation processes; 1.8 Observation and interpretation; 1.9 Conclusions; Chapter 2. Sediment and time; 2.1 Introduction; 2.2 The principle of superposition; 2.3 Sedimentary bedding , 2.4 Rates of sedimentation2.5 Stratigraphical units and time; 2.6 Time and the sedimentary environment; 2.7 Summary; Chapter 3. Deterministic models; 3.1 Introduction; 3.2 Deterministic and stochastic models; 3.3 The use of models in stratigraphic analysis; 3.4 Theoretical versus empirical models; 3.5 The optimization of models; 3.6 The evaluation of models; 3.7 Erosion and deposition models; 3.8 Sedimentation in subsiding basins; 3.9 Sedimentation rates and basin control; Chapter 4. Stochastic models; 4.1 Introduction; 4.2 The basic elements of probability theory; 4.3 The simple random walk , 4.4 The random walk as a model of bed formation4.5 The Kolmogorov model of bed formation; 4.6 The Poisson process; 4.7 Othercontinuousdistributions; 4.8 Continuous variable models and queues; 4.9 The use of stochastic models in stratigraphy; Chapter 5. Markov chains; 5.1 Introduction; 5.2 The Markov process; 5.3 The n-step transition probability; 5.4 Recurrence and classification of states; 5.5 The eigenvalues of a Markov matrix; 5.6 Higher-order chains; 5.7 The estimation of transition probability matrices and tests for the Markov property , 5.8 Structuring stratigraphic sections for a Markov-chain model5.9 Structuring by the equal-interval method; 5.10 Structuring by lithological states; 5.11 The Markov property and sedimentation; Chapter 6. Renewal processes and semi-Markov processes; 6.1 Introduction; 6.2 Renewal processes; 6.3 Sedimentation as a renewal process; 6.4 The thickness distributions of beds representing equal time; 6.5 The thickness distribution of sedimentary beds; 6.6 Semi-Markov chains; 6.7 The semi-Markov chain as a stratigraphic model; 6.8 The analysis of sections in terms of the semi-Markov model , 6.9 Sedimentation-erosion processes6.10 Concluding remarks; Chapter 7. Stationary stochastic processes and time-series analysis; 7.1 Introduction; 7.2 The description of random variables; 7.3 Simple stationary time processes; 7.4 Autoregressive processes; 7.5 Oscillating and cyclical sedimentation models; 7.6 The estimation and testing of correlograms; 7.7 The interpretation of empirical correlograms; 7.8 Multiple time-series analysis; Chapter 8. The spectral analysis of geological data; 8.1 Introduction; 8.2 The periodogram; 8.3 The spectral analysis of random processes , 8.4 Examples of spectral distributions and linear operations on processes , English
    Additional Edition: ISBN 0-444-41302-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier Scientific Pub. Co.,
    UID:
    almahu_9948025244102882
    Format: 1 online resource (396 p.)
    ISBN: 1-281-77212-7 , 9786611772123 , 0-08-086931-9
    Series Statement: Developments in sedimentology ; 19
    Content: Sedimentation Models and Quantitative Stratigraphy
    Note: Description based upon print version of record. , Front Cover; Sedimentation Models and Quantitative Stratigraphy; Copyright Page; Contents; Preface; Further Reading; Chapter 1. Sedimentation and environment; 1.1 Introduction; 1.2 The relationship between observed rocks and the sedimentary environment; 1.3 The environment; 1.4 The environmental model; 1.5 Organization of the environment; 1.6 The classification of sedimentary environments; 1.7 Sedimentation processes; 1.8 Observation and interpretation; 1.9 Conclusions; Chapter 2. Sediment and time; 2.1 Introduction; 2.2 The principle of superposition; 2.3 Sedimentary bedding , 2.4 Rates of sedimentation2.5 Stratigraphical units and time; 2.6 Time and the sedimentary environment; 2.7 Summary; Chapter 3. Deterministic models; 3.1 Introduction; 3.2 Deterministic and stochastic models; 3.3 The use of models in stratigraphic analysis; 3.4 Theoretical versus empirical models; 3.5 The optimization of models; 3.6 The evaluation of models; 3.7 Erosion and deposition models; 3.8 Sedimentation in subsiding basins; 3.9 Sedimentation rates and basin control; Chapter 4. Stochastic models; 4.1 Introduction; 4.2 The basic elements of probability theory; 4.3 The simple random walk , 4.4 The random walk as a model of bed formation4.5 The Kolmogorov model of bed formation; 4.6 The Poisson process; 4.7 Othercontinuousdistributions; 4.8 Continuous variable models and queues; 4.9 The use of stochastic models in stratigraphy; Chapter 5. Markov chains; 5.1 Introduction; 5.2 The Markov process; 5.3 The n-step transition probability; 5.4 Recurrence and classification of states; 5.5 The eigenvalues of a Markov matrix; 5.6 Higher-order chains; 5.7 The estimation of transition probability matrices and tests for the Markov property , 5.8 Structuring stratigraphic sections for a Markov-chain model5.9 Structuring by the equal-interval method; 5.10 Structuring by lithological states; 5.11 The Markov property and sedimentation; Chapter 6. Renewal processes and semi-Markov processes; 6.1 Introduction; 6.2 Renewal processes; 6.3 Sedimentation as a renewal process; 6.4 The thickness distributions of beds representing equal time; 6.5 The thickness distribution of sedimentary beds; 6.6 Semi-Markov chains; 6.7 The semi-Markov chain as a stratigraphic model; 6.8 The analysis of sections in terms of the semi-Markov model , 6.9 Sedimentation-erosion processes6.10 Concluding remarks; Chapter 7. Stationary stochastic processes and time-series analysis; 7.1 Introduction; 7.2 The description of random variables; 7.3 Simple stationary time processes; 7.4 Autoregressive processes; 7.5 Oscillating and cyclical sedimentation models; 7.6 The estimation and testing of correlograms; 7.7 The interpretation of empirical correlograms; 7.8 Multiple time-series analysis; Chapter 8. The spectral analysis of geological data; 8.1 Introduction; 8.2 The periodogram; 8.3 The spectral analysis of random processes , 8.4 Examples of spectral distributions and linear operations on processes , English
    Additional Edition: ISBN 0-444-41302-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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