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  • 1
    Monograph available for loan
    Monograph available for loan
    Amsterdam : Elsevier
    Call number: 19/M 16.90210
    Type of Medium: Monograph available for loan
    Pages: XVII, 321 Seiten , Illustrationen, Diagramme
    Edition: Second Edition
    Edition: Online-Ausg.
    ISBN: 9780128044889
    Classification:
    Mathematics
    Parallel Title: Print version Environmental data analysis with matlab
    Language: English
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  • 2
    Call number: 9780128092590 (ebook)
    Description / Table of Contents: Introduction to Satellite Remote Sensing: Atmosphere, Ocean and Land Applications is the first reference book to cover ocean applications, atmospheric applications, and land applications of remote sensing. Applications of remote sensing data are finding increasing application in fields as diverse as wildlife ecology and coastal recreation management. The technology engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. The book opens with an introduction to the history of remote sensing, starting from when the phrase was first coined. It goes on to discuss the basic concepts of the various systems, including atmospheric and ocean, then closes with a detailed section on land applications. Due to the cross disciplinary nature of the authors' experience and the content covered, this is a must have reference book for all practitioners and students requiring an introduction to the field of remote sensing. Provides study questions at the end of each chapter to aid learning Covers all satellite remote sensing technologies, allowing readers to use the text as instructional material Includes the most recent technologies and their applications, allowing the reader to stay up-to-date Delves into laser sensing (LIDAR) and commercial satellites (DigitalGlobe) Presents examples of specific satellite missions, including those in which new technology has been introduced.
    Type of Medium: 12
    Pages: 1 Online-Ressource (872 pages)
    ISBN: 978-0-12-809259-0 , 978-0-12-809254-5
    Language: English
    Note: Front Cover --- Introduction to Satellite Remote Sensing --- Introduction to Satellite Remote Sensing: Atmosphere, Ocean, Land and Cryosphere Applications --- Copyright --- Dedication --- Contents --- 1 - THE HISTORY OF SATELLITE REMOTE SENSING --- 1.1 THE DEFINITION OF REMOTE SENSING --- 1.2 THE HISTORY OF SATELLITE REMOTE SENSING --- 1.2.1 THE NATURE OF LIGHT AND THE DEVELOPMENT OF AERIAL PHOTOGRAPHY --- 1.2.2 THE BIRTH OF EARTH-ORBITING SATELLITES --- 1.2.3 THE FUTURE OF POLAR-ORBITING SATELLITES --- 1.2.3.1 The Cross-Track Infrared Sounder --- 1.2.4 OTHER HISTORICAL SATELLITE PROGRAMS --- 1.2.4.1 The NIMBUS Program --- 1.2.4.2 The Landsat Program --- 1.2.4.3 The Defense Meteorological Satellite Program --- 1.2.4.4 Geostationary Weather Satellites --- 1.2.4.4.1 GOES-R --- 1.3 STUDY QUESTIONS --- 2 - BASIC ELECTROMAGNETIC CONCEPTS AND APPLICATIONS TO OPTICAL SENSORS --- 2.1 MAXWELL'S EQUATIONS --- 2.2 THE BASICS OF ELECTROMAGNETIC RADIATION --- 2.3 THE REMOTE SENSING PROCESS --- 2.4 THE CHARACTER OF ELECTROMAGNETIC WAVES --- 2.4.1 DEFINITION OF RADIOMETRIC TERMS --- 2.4.2 POLARIZATION AND THE STOKES VECTOR --- 2.4.3 REFLECTION AND REFRACTION AT THE INTERFACE OF TWO FLAT MEDIA --- 2.4.4 BREWSTER'S ANGLE --- 2.4.5 CRITICAL ANGLE --- 2.4.6 ALBEDO VERSUS REFLECTANCE --- 2.5 ELECTROMAGNETIC SPECTRUM: DISTRIBUTION OF RADIANT ENERGIES --- 2.5.1 GAMMA, X-RAY, AND ULTRAVIOLET PORTIONS OF THE ELECTROMAGNETIC SPECTRUM --- 2.5.2 VISIBLE SPECTRUM --- 2.5.3 THERMAL INFRARED SPECTRUM --- 2.5.4 MICROWAVE SPECTRUM --- 2.6 ATMOSPHERIC TRANSMISSION --- 2.6.1 SPECTRAL WINDOWS --- 2.6.2 ATMOSPHERIC EFFECTS --- 2.6.2.1 Beer-Lambert Absorption Law --- 2.6.2.2 Beer-Lambert Absorption Law: Opacity --- 2.6.2.3 Atmospheric Scattering --- 2.7 SENSORS TO MEASURE PARAMETERS OF THE EARTH'S SURFACE --- 2.8 INCOMING SOLAR RADIATION --- 2.9 INFRARED EMISSIONS --- 2.10 SURFACE REFLECTANCE: LAND TARGETS --- 2.10.1 LAND SURFACE MIXTURES --- 2.11 STUDY QUESTIONS --- 3 - OPTICAL IMAGING SYSTEMS --- 3.1 PHYSICAL MEASUREMENT PRINCIPLES --- 3.2 BASIC OPTICAL SYSTEMS --- 3.2.1 PRISMS --- 3.2.2 FILTER-WHEEL RADIOMETERS --- 3.2.2.1 An Example: The Cloud Absorption Radiometer --- 3.2.2.2 Filters --- 3.2.3 GRATING SPECTROMETER --- 3.2.4 INTERFEROMETER --- 3.3 SPECTRAL RESOLVING POWER --- THE RAYLEIGH CRITERION --- 3.4 DETECTING THE SIGNAL --- 3.5 VIGNETTING --- 3.6 SCAN GEOMETRIES --- 3.7 FIELD OF VIEW --- 3.8 OPTICAL SENSOR CALIBRATION --- 3.8.1 VISIBLE WAVELENGTHS CALIBRATION --- 3.8.2 POLARIZATION FILTERS --- 3.9 LIGHT DETECTION AND RANGING --- 3.9.1 PHYSICS OF THE MEASUREMENT --- 3.9.2 OPTICAL AND TECHNOLOGICAL CONSIDERATIONS --- 3.9.3 APPLICATIONS OF LIDAR SYSTEMS --- 3.9.4 WIND LIDAR --- 3.9.4.1 Vector Wind Velocity Determination --- 3.9.4.1.1 Velocity Azimuth Display LIDAR Vector Wind Method --- 3.9.4.1.2 Doppler Beam Swinging LIDAR Vector Wind Method --- 3.9.4.2 Direct Detection Doppler Wind LIDAR --- 3.9.4.3 LIDAR Wind Summary --- 3.10 STUDY QUESTIONS --- 4 - Microwave Radiometry --- 4.1 Basic Concepts on Microwave Radiometry --- 4.1.1 Blackbody Radiation --- 4.1.2 Gray-body Radiation: Brightness Temperature and Emissivity --- 4.1.3 General Expressions for the Emissivity --- 4.1.3.1 Simple Emissivity Models: Emission From a Perfect Specular Surface --- 4.1.3.2 Simple Emissivity Models: Emission From a Lambertian Surface --- 4.1.3.1 Simple Emissivity Models: Emission From a Perfect Specular Surface --- 4.1.3.2 Simple Emissivity Models: Emission From a Lambertian Surface --- 4.1.4 Power Collected by an Antenna Surrounded by a Blackbody --- 4.1.5 Power Collected by an Antenna Surrounded by a Gray body: Apparent Temperature and Antenna Temperature --- 4.2 The Radiative Transfer Equation --- 4.2.1 The Complete Polarimetric Radiative Transfer Equation --- 4.2.2 Usual Approximations to the Radiative Transfer Equation --- 4.3 Emission Behavior of Natural Surfaces --- 4.3.1 The Atmosphere --- 4.3.1.1 Attenuation by Atmospheric Gases --- 4.3.1.2 Attenuation by Rain --- 4.3.1.3 Attenuation by Clouds and Fog --- 4.3.2 The Ionosphere --- 4.3.2.1 Faraday Rotation --- 4.3.2.2 Ionospheric Losses: Absorption and Emission --- 4.3.3 Land Emission --- 4.3.3.1 Soil Dielectric Constant Models --- 4.3.3.2 Bare Soil Emission --- 4.3.3.3 Vegetated Soil Emission --- 4.3.3.4 Snow-Covered Soil Emission --- 4.3.3.5 Topography Effects --- 4.3.4 Ocean Emission --- 4.3.4.1 Water Dielectric Constant Behavior --- 4.3.4.2 Calm Ocean Emission --- 4.3.4.2.1 Influence of the Salinity --- 4.3.4.2.2 Influence of Frequency --- 4.3.4.2.3 Influence of the Water Temperature --- 4.3.4.3 Influence of the Sea State --- 4.3.4.3.1 Influence of the Look Angle --- 4.3.4.4 Emissivity of the Sea Surface Covered With Oil --- 4.3.4.5 Emissivity of the Sea Ice Surface --- 4.4 Understanding Microwave Radiometry Imagery --- 4.5 Applications of Microwave Radiometry --- 4.6 Sensors --- 4.6.1 Historical Review of Microwave Radiometers and Frequency Bands Used --- 4.6.2 Microwave Radiometers: Basic Performance --- 4.6.2.1 Spatial Resolution --- 4.6.2.1.1 Real Aperture Radiometers --- 4.6.2.1.2 Synthetic Aperture Radiometers --- 4.6.2.2 Radiometric Resolution --- 4.6.2.2.1 Real Aperture Radiometers --- 4.6.2.2.2 Synthetic Aperture Radiometers --- 4.6.2.3 Trade-off Between Spatial Resolution and Radiometric Precision --- 4.6.3 Real Aperture Radiometers --- 4.6.3.1 Instrument Considerations --- 4.6.3.1.1 Antenna Considerations --- 4.6.3.1.2 Receiver Considerations --- 4.6.3.1.3 Sampling Considerations --- 4.6.3.2 Types of Real Aperture Radiometers --- 4.6.3.3 Radiometer Calibration --- 4.6.3.3.1 External Calibration --- 4.6.3.3.1.1 Using Hot and Cold Targets --- 4.6.3.3.1.2 Fully Polarimetric Radiometer Calibration Using External Targets --- 4.6.3.3.1.3 Tip Curves --- 4.6.3.3.1.4 Earth Targets: Vicarious Calibration --- 4.6.3.3.2 Internal Calibration --- 4.6.3.3.3 Radiometer Linearity --- 4.6.3.4 Radio Frequency Interference Detection and Mitigation --- 4.6.3.5 Example: Special Sensor Microwave Imager Radiometric and Geometric Corrections --- 4.6.4 Synthetic Aperture Radiometers --- 4.6.4.1 Types of Synthetic Aperture Radiometers --- 4.6.4.1.1 Mills Cross --- 4.6.4.1.2 Synthetic Aperture Radiometers using Matched Filtering --- 4.6.4.1.3 Synthetic Aperture Radiometers using Fourier Synthesis --- 4.6.4.1.3.1 1D Synthetic Aperture Radiometers: Array Thinning --- 4.6.4.1.3.2 2D Synthetic Aperture Radiometers: Array Topologies --- 4.6.4.1.3.3 Other Synthetic Aperture Radiometer Concepts --- 4.6.4.2 Radiometer Calibration --- 4.6.4.2.1 Internal Calibration --- 4.6.4.2.2 External Calibration --- 4.6.4.3 Image Reconstruction --- 4.6.4.4 ESA's SMOS Mission and the MIRAS Instrument --- 4.6.5 Future Trends in Microwave Radiometers --- 4.7 Study Questions --- 5 - RADAR --- 5.1 A COMPACT INTRODUCTION TO RADAR THEORY --- 5.1.1 REMOTE RANGING --- 5.1.2 DOPPLER ANALYSIS --- 5.2 RADAR SCATTERING --- 5.2.1 RADAR FREQUENCY BANDS --- 5.2.2 NORMALIZATIONS OF THE RADAR REFLECTIVITY --- 5.2.3 POINT VERSUS DISTRIBUTED SCATTERERS --- 5.2.4 SPECKLE, MULTILOOK, AND RADIOMETRIC RESOLUTION --- 5.2.5 RADAR EQUATION --- 5.2.6 RADAR WAVES AT AN INTERFACE --- 5.2.7 MULTIPLE REFLECTIONS: DOUBLE BOUNCE, TRIPLE BOUNCE, AND URBAN AREAS --- 5.2.8 BACKSCATTERING OF SURFACES --- 5.2.9 PERIODIC SCATTERING: THE BRAGG MODEL --- 5.2.10 BACKSCATTERING OF VOLUMES --- 5.2.11 OVERALL SUMMARY OF RADAR BACKSCATTER --- 5.2.12 DEPOLARIZATION OF RADAR WAVES --- 5.3 RADAR SYSTEMS --- 5.3.1 RANGE-DOPPLER RADARS --- 5.3.2 OPTIMAL RECEIVER FOR A SINGLE ECHO: THE MATCHED FILTER --- 5.3.3 MATCHED FILTER VERSUS INVERSE FILTER --- 5.3.4 OPTIMAL RECEIVER FOR RANGE-DOPPLER RADAR ECHOES: THE BACKPROJECTION OPERATOR --- 5.3.5 RADAR WAVEFORMS --- 5.3.6 A PARADIGMATIC EXAMPLE: LINEAR FREQUENCY MODULATED PULSES (CHIRPS) --- 5.3.7 GEOMET
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  • 3
    Monograph available for loan
    Monograph available for loan
    Amsterdam : Elsevier
    Call number: M 17.90812
    Description / Table of Contents: Front Cover -- ADDRESSES/INSTITUTIONS -- A Concise Geologic Time Scale -- A Concise Geologic Time Scale -- Copyright -- CONTENTS -- 1 - Introduction -- Geologic time scale and this book -- International divisions of geologic time and their global boundaries (GSSPs) -- Biologic, chemical, sea-level, geomagnetic, and other events or zones -- Assigned numerical ages -- Time Scale Creator database and chart-making package -- Geologic Time Scale 2020 -- Selected publications and websites -- 2 - PLANETARY TIME SCALE -- Introduction -- The Moon -- Mars -- Mercury -- Venus
    Description / Table of Contents: Other solar system bodies -- Selected publications and websites -- 3 - Precambrian -- Status of international subdivisions -- Summary of Precambrian trends and events, and a potential revised time scale -- Hadean -- Archean -- Proterozoic -- Acknowledgments -- Selected publications and websites -- 4 - Cryogenian and Ediacaran -- Basal definitions and status of international subdivisions -- Cryogenian -- Selected main stratigraphic scales and events -- (1) Stable-isotope stratigraphy, magnetostratigraphy, and selected events -- (2) Biostratigraphy and major trends -- Numerical age model
    Description / Table of Contents: GTS2012 age model and potential future enhancements -- Revised ages compared to GTS2012 -- Acknowledgments -- Selected publications and websites -- 5 - CAMBRIAN -- Basal definition and status of international subdivisions -- Terreneuvian series -- Series 2 -- Series 3 -- Furongian series -- Selected main stratigraphic scales and events -- (1) Biostratigraphy and major trends -- (2) Stable-isotope stratigraphy, magnetostratigraphy, and selected events -- Numerical age model -- GTS2012 age model and potential future enhancements -- Revised ages compared to GTS2012
    Description / Table of Contents: Estimated uncertainties on assigned ages on stage boundaries -- Acknowledgments -- Selected publications and websites -- 6 - ORDOVICIAN -- Basal definition and international subdivisions -- Selected main stratigraphic scales and events -- (1) Biostratigraphy and major trends -- (2) Stable-isotope stratigraphy and selected events -- Numerical age model -- GTS2012 age model and potential future enhancements -- Estimated uncertainties on assigned ages on stage boundaries -- Acknowledgments -- Selected publications and websites -- 7 - SILURIAN -- Basal definition and international subdivisions
    Description / Table of Contents: Selected main stratigraphic scales and events -- (1) Biostratigraphy (marine -- terrestrial) -- (2) Stable-isotope stratigraphy, magnetostratigraphy, and selected events -- Numerical age model -- GTS2012 age model and potential future enhancements -- Estimated uncertainties on assigned ages on stage boundaries -- Acknowledgments -- Selected publications and websites -- 8 - DEVONIAN -- Basal definition and international subdivisions -- Selected main stratigraphic scales and events -- Biostratigraphy (marine -- terrestrial) -- Magnetostratigraphy -- Stable-isotope stratigraphy and selected events
    Description / Table of Contents: Numerical age model
    Type of Medium: Monograph available for loan
    Pages: 243 Seiten
    ISBN: 9780444637710 , 9780444594679
    Classification:
    Historical Geology
    Parallel Title: Print version A Concise Geologic Time Scale : 2016
    Language: English
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  • 4
    Description / Table of Contents: Starting from a more general discussion of mechanisms controlling organic carbon deposition in marine environments and indicators useful for paleoenvironmental reconstructions, this study concentrates on detailed organic-geochemical and sedimentological investigations of late Cenozoic deep-sea sediments from (1) the Baffin Bay and the Labrador Sea (ODP-Leg 105), (2) the upwelling area off Northwest Africa (ODP-Leg 108), and (3) the Sea of Japan (ODP-Leg 128). Of major interest are shortas well as long-term changes in organic carbon accumulation during the past 20 m.y. As shown in the data from ODP-Legs 105, 108, and 128, sediments characterized by similar high organic carbon contents can be deposited in very different environments. Thus, simple total organic carbon data do not allow (i) to distinguish between different factors controlling organic carbon enrichment and (ii) to reconstruct the depositional history of these sediments. Data on both quantity and composition of the organic matter, however, provide important informations about the depositional environment and allow detailed reconstructions of the evolution of paleoclimate, paleoceanic circulation, and paleoproductivity in these areas. The results have significant implications for quantitative models of the mechanisms of climatic change. Furthermore, the data may also help to explain the formation of fossil black shales, i.e., hydrocarbon source rocks. (1) BAFFIN BAY AND LABRADOR SEA The Miocene to Quaternary sediments at Baffin Bay Site 645 are characterized by relatively high organic carbon contents, most of which range from 0.5% to almost 3%. This organic carbon enrichment was mainly controlled by increased supply .of terrigenous organic matter throughout the entire time interval. Two distinct maxima were identified: (i) a middle Miocene maximum, possibly reflecting a dense vegetation cover and fluvial sediment supply from adjacent islands, that decreased during late Miocene and early Pliocene time because of expansion of tundra vegetation due to global climatic deterioration; (ii) a late Pliocene-Pleistocene maximum possibly caused by glacial erosion and meltwater outwash. Significant amounts of marine organic carbon were accumulated in western Baffin Bay during middle Miocene time, indicating higher surface-water productivity (up to about 150 gC m -2 y-l) resulted from the inflow of cold and nutrient-rich Arctic water masses. The decrease in average surface-water productivity to values similar to those of the modern Baffin Bay was recorded during the late Miocene and was probably caused by the development of a seasonal sea-ice cover. At Labrador Sea Sites 646 and 647, organic carbon contents are low varying between 0.10% and 0.75%; the origin of most of the organic matter probably is marine. A major increase in organic carbon accumulation at Site 646 at about 7.2 Ma may indicate increased surface-water productivity triggered by the onset of the cold East-Greeniand Current system. Near 2.4 Ma, i.e., parallel to the development of major Northern Hemisphere Glaciation, accumulation rates of both organic carbon and biogenic opal decreased, suggesting a reduced surface-water productivity because of the development of dosed seasonal sea-ice cover in the northern Labrador Sea. The influence of varying sea-ice cover on surface-water productivity is also documented in the short-term glacial/interglacial fluctuations in organic carbon deposition at Sites 646 and 647. (2) UPWELLING AREAS OFF NORTHWEST AFRICA The upper Pliocene-Quaternary sediments at coastal-upwelling Site 658 are characterized by high organic carbon contents of 4%; the organic matter is a mixture of marine and terrigenous material with a dominance of the marine proportion. The upper Miocene to Quaternary pelagic sediments from close-by non-upwelling Sites 657 and 659, on the other hand, display low organic carbon values of less than 0.5%. Only in turbidites and slumps occasionally intercalated at the latter two sites, high organic carbon values of up to 3% occur. The high accumulation rates of marine organic carbon recorded at Site 658 reflect the high-productivity upwelling environment. Paleoproductivity varies between 100 and 400 gC m "2 y-1 during the past 3.6 m.y. and is clearly triggered by changes in global climate. However, there is no simple relationship between climate and organic carbon supply, i.e., it is not possble to postulate that productivity was generally higher at Site 658 during glacials than during interglacials or vice versa. Changes in the relative importance between upwelling activity (which was increased during glacial intervals) and fluvial nutrient supply (which was increased during interglacial intervals) may have caused the complex productivity record at Site 658. Most of the maximum productivity values, for example, were recorded at peak interglacials and at terminations indicating the importance of local fluvial nutrient supply at Site 658. Near 0.5 Ma, a long-term decrease in paleoproductivity occurs, probably indicating a decrease in fluvial nutrient supply and/or a change in nutrient "content of the upwelled waters. The former explanation is supported by the contemporaneous decrease in terrigenous organic carbon and (river-borne) clay supply suggesting an increase in long-term aridity in the Central Sahara. At Site 660, underneath the Northern Equatorial Divergence Zone, (marine) organic carbon values of up to 1.5% were recorded in upper Pliocene-Quaternary sediments. During the last 2.5 Ma, the glacial sediments are carbonate-lean and enriched in organic carbon probably caused by the influence of a carbonate-dissolving and oxygen-poor deep-water mass. (3) SEA OF JAPAN Based on preliminary results of organic-geochemical investigations, the Miocene to Quaternary sediments from ODP-Sites 798 (Oki Ridge) and 799 (Kita-Yamato-Trough) are characterized by high organic carbon contents of up to 6%; the organic matter is a mixture between marine and terrigenous material. Dominant mechanisms controlling (marine) organic carbon enrichments are probably high-surface water productivity and increased preservations rates under anoxic deep-water conditions. In the lower Pliocene sediments at Site 798 and the Miocene to Quaternary sediments at Site 799, rapid burial of organic carbon in turbidites may have occurred episodically. Distinct cycles of dark laminated sediments with organic carbon values of more than 5% and light bioturbated to homogenous sediments with lower organic carbon contents indicate dramatic shortterm paleoceanographic variations. More detailed records of accumulation rates of marine and terrigenous organic carbon and biogenic opal as well as a detailed oxygen isotope stratigraphy are required for a more precise reconstruction of the environmental history of the Sea of Japan through late Cenozoic time.
    Pages: Online-Ressource (217 Seiten)
    ISBN: 9783540463078
    Language: English
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  • 5
    Unknown
    Berlin ; Heidelberg : Springer
    Description / Table of Contents: PREFACE There are problems, when applying statistical inference to the analysis of data, which are not readily solved by the inferential methods of the standard statistical techniques. One example is the computation of confidence intervals for variance components or for functions of variance components. Another example is the statistical inference on the random parameters of the mixed model of the standard statistical techniques or the inference on parameters of nonlinear models. Bayesian analysis gives answers to these problems. The advantage of the Bayesian approach is its conceptual simplicity. It is based on Bayes' theorem only. In general, the posterior distribution for the unknown parameters following from Bayes' theorem can be readily written down. The statistical inference is then solved by this distribution. Often the posterior distribution cannot be integrated analytically. However, this is not a serious drawback, since efficient methods exist for the numerical integration. The results of the standard statistical techniques concerning the linear models can also be derived by the Bayesian inference. These techniques may therefore be considered as special cases of the Bayesian analysis. Thus, the Bayesian inference is more general. Linear models and models closely related to linear models will be assumed for the analysis of the observations which contain the information on the unknown parameters of the models. The models, which are presented, are well suited for a variety of tasks connected with the evaluation of data. When applications are considered, data will be analyzed which have been taken to solve problems of surveying engineering. This does not mean, of course, that the applications are restricted to geodesy. Bayesian statistics may be applied wherever data need to be evaluated, for instance in geophysics. After an introduction the basic concepts of Bayesian inference are presented in Chapter 2. Bayes' theorem is derived and the introduction of prior information for the unknown parameters is discussed. Estimates of the unknown parameters, of confidence regions and the testing of hypotheses are derived and the predictive analysis is treated. Finally techniques for the numerical integration of the integrals are presented which have to be solved for the statistical inference. Chapter 3 introduces models to analyze data for the statistical inference on the unknown parameters and deals with special applications. First the linear model is presented with noninformative and informative priors for the unknown parameters. The agreement with the results of the standard statistical techniques is pointed out. Furthermore, the prediction of data and the linear model not of full rank are discussed. A method for identifying a model is presented and a less sensitive hypothesis test for the standard statistical techniques is derived. The Kalman-Bucy filter for estimating unknown parameters of linear dynamic systems is also given. Nonlinear models are introduced and as an example the fit of a straight line is treated. The resulting posterior distribution for the unknown parameters is analytically not tractable, so that numerical methods have to be applied for the statistical inference. In contrast to the standard statistical techniques, the Bayesian analysis for mixed models does not discriminate between fixed and random parameters, it distinguishes the parameters according to their prior information. The Bayesian inference on the parameters, which correspond to the random parameters of the mixed model of the standard statistical techniques, is therefore readily accomplished. Noninformafive priors of the variance and covariance components are derived for the linear model with unknown variance and covariance components. In addition, informative priors are given. Again, the resulting posterior distributions are analytically not tractable, so that numerical methods have to be applied for the Bayesian inference. The problem of classification is solved by applying the Bayes rule, i.e. the posterior expected loss computed by the predictive density function of the observations is minimized. Robust estimates of the standard statistical techniques, which are maximum likelihood type estimates, the so-called M-estimates, may also be derived by Bayesian inference. But this approach not only leads to the M-estimates, but also any inferential problem for the parameters may be solved. Finally, the reconstruction of digital images is discussed. Numerous methods exist for the analysis of digital images. The Bayesian approach unites some of them and gives them a common theoretical foundation. This is due to the flexibility by which prior information for the unknown parameters can be introduced. It is assumed that the reader has a basic knowledge of the standard statistical techniques. Whenever these results are needed, for easy reference the appropriate page of the book "Parameter Estimation and Hypothesis Testing in Linear Models" by the author (Koch 1988a) is cited. Of course, any other textbook on statistical techniques can serve this purpose. To easily recognize the end of an example or a proof, it is marked by a A or a t~, respectively. I want to thank all colleagues and students who contributed to this book. In particular, I thank Mr. Andreas Busch, Dipl.-Ing., for his suggestions. I also convey my thanks to Mrs. Karin Bauer, who prepared the copy of the book. The assistance of the Springer- Verlag in checking the English text is gratefully acknowledged. The responsibility of errors, of course, remains with the author.
    Pages: Online-Ressource (198 Seiten)
    ISBN: 9783540530800
    Language: English
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  • 6
    Unknown
    Berlin ; Heidelberg : Springer
    Keywords: digital signal processing ; observational seismology ; seismic signals ; information extraction
    Description / Table of Contents: Digital signal processing has become more and more an integral part of observational seismology. While it offers unprecedented power in extracting information from seismic signals, it comes at the price of having to learn a variety of new skills. Dealing with digital seismic data requires at least a basic understanding of digital signal processing. Taking the calculation of true ground motion as the guiding problem, this course covers the basic theory of linear systems, the design and analysis of simple digital filters, the effect of sampling and A/D conversion and an introduction to spectral analysis of digital signals. It contains a number of examples and exercises that can be reproduced using the PITSA software package (Scherbaum and Johnson 1993) or similar programs.
    Pages: Online-Ressource (158 Seiten)
    ISBN: 9783540579731
    Language: English
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  • 7
    Unknown
    Berlin ; Heidelberg : Springer
    Description / Table of Contents: Cellular growth is an important crystal growth process and offers an interesting example of natural pattern formation. The present work has been undertaken to study cellular growth, especially its pattern formation, both experimentally and numerically. In situ observations of faceted cellular growth clearly revealed cellular interactions in the array of cells. Cell tip splitting and loss of cells were observed to be the two main mechanisms for the adjustment of cell spacings during growth. For the first time, the true time-dependent faceted cellular growth has been modelled properly. The time evolution of faceted cellular growth has demonstrated the dynamical features of cellular growth processes. It was shown that the pattern formation was determined by cellular interactions in the array, either transient or persistent depending on the growth condition. The cellular structures were irregular when persistent interactions occurred, whereas relatively regular structures could be formed once the transient interactions had stopped. As a result of cellular interactions, a finite range of stable cell spacings was found under a given growth condition. Numerical experiments were carried out for k 〉 1 and k 〈 1 (where k is the solute partition coefficient), under a number of different growth conditions. It was found that these two cases were not symmetric as far as solute distribution is concerned; however the pattern formation behaviours were similar. For k 〉 1 shallow cells were retained, while for k 〈 1, the formation of liquid grooves along the cell boundary depended on the growth condition. The solute effect plays an important role in the cellular interactions in the array. The results were compared with experimental observations in thin film silicon single crystals. It is felt that a general behaviour of pattern formation is found and should be expected for other processes such as non-faceted cellular or eutectic growth. In addition, the solute flow in steady state cellular array growth was studied using the point source technique. Preliminary work was carried out to measure steady state non-faceted cell shapes. Heat flow in zone melting was studied numerically.
    Pages: Online-Ressource (208 Seiten)
    ISBN: 9783540544852
    Language: English
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  • 8
    Description / Table of Contents: This volume contains the proceedings of a symposium held at Freiburg im Breisgau, October 7-11, 1990. The symposium was sponsored mainly by the Deutsche Forschungsgemeinschaft (DFG), by the Geological Institute of the University of Freiburg, and by the International Association of Mathematical Geology. We thank these and all other sponsors of the meeting. The symposium whose participants came from more then twenty countries was the first international meeting dedicated entirely to geological applications of threedimensional computer graphics, a rapidly growing field of scientific visualization in geology. The selection of papers in this volume covers a wide range of methods developed in the last decade.
    Pages: Online-Ressource (298 Seiten)
    ISBN: 9783540551904
    Language: English
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  • 9
  • 10
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