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  • 1
    Electronic Resource
    Electronic Resource
    Atomic layer molecular beam epitaxy growth of InAs on GaAs substrates (1989)
    Springer
    Applied physics 49 (1989), S. 543-545 
    Details
    ISSN: 1432-0630
    Keywords: 68.55.+b
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: Abstract InAs layers with thickness ranging from 0.1 to 2.5 μm have been grown directly on highly mismatched (7.4%) (001) GaAs substrates by atomic layer molecular beam epitaxy (ALMBE). This growth method, based on the modulated deposition of one or both component species, provides InAs layers with excellent flat morphology, independently of the total thickness. A detailed study of the evolution of the electron diffraction (RHEED) pattern indicates that a complete decoupling between the InAs epitaxial layer and the GaAs substrate is reached in less that 10 monolayers. Evidence is obtained that layer-by-layer nucleation takes place from the beginning of the growth.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00617022
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Using selection functions to describe changes in environmental variables (1995)
    Springer
    Environmental and ecological statistics 2 (1995), S. 225-237 
    Details
    ISSN: 1573-3009
    Keywords: environmental monitoring ; selection function ; natural selection ; EMAP ; environmental assessment ; fitness function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The selection function (which shows how the frequency of sampling units with the value X = x at one point in time must change in order to produce the distribution that occurs at a later point in time) is proposed for describing the changes over time in an environmentally important variable X. It is shown that the theory of selection functions as used in the study of natural selection and resource selection by animals requires some modifications in this new application and that a selection function is a useful tool in long-term monitoring studies because all changes in a distribution can be examined (rather than just changes in single parameters such as the mean), and because graphical presentations of the selection function are easy for non-statisticians to understand. Estimation of the selection function is discussed using a method appropriate for normal distributions and bootstrapping is suggested as a method for assessing the precision of estimates and for testing for significant differences between samples taken at different times. Methods are illustrated using data on water chemical variables from a study of the effects of acid precipitation in Norway.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00456670
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Using selection functions to describe changes in environmental variables (1995)
    Springer
    Environmental and ecological statistics 2 (1995), S. 225-237 
    Details
    ISSN: 1573-3009
    Keywords: environmental monitoring ; selection function ; natural selection ; EMAP ; environmental assessment ; fitness function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The selection function (which shows how the frequency of sampling units with the value X = x at one point in time must change in order to produce the distribution that occurs at a later point in time) is proposed for describing the changes over time in an environmentally important variable X. It is shown that the theory of selection functions as used in the study of natural selection and resource selection by animals requires some modifications in this new application and that a selection function is a useful tool in long-term monitoring studies because all changes in a distribution can be examined (rather than just changes in single parameters such as the mean), and because graphical presentations of the selection function are easy for non-statisticians to understand. Estimation of the selection function is discussed using a method appropriate for normal distributions and bootstrapping is suggested as a method for assessing the precision of estimates and for testing for significant differences between samples taken at different times. Methods are illustrated using data on water chemical variables from a study of the effects of acid precipitation in Norway.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00456672
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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