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Collecting Spatial Data - Werner G. Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Werner G. Müller:

Collecting Spatial Data - neues Buch

ISBN: 9783540311751

ID: 9783540311751

Optimum Design of Experiments for Random Fields UndIhrkonnt messen, richtig messen Ja. Ich habe mich sowohl an Horizontal- als auch an H ohenmessungenbeteiligt,obgleichichnichtbehauptenwill, dass ich mich als ausgelernten Feldmesser betrachte. May (1893) Spatial data occur in many elds such as agriculture, geology, en- ronmental sciences, and economics (see Isaaks and Srivastava (1989) or Haining (1990)). They have been recorded and analyzed probably as early as men started to make maps, however the origins of their statistical analysis as we understand it today must probably be - tributed to the work of Matheron (1963). Spatial data has the disti- tive characteristic that, attached to every observation, we have a set of coordinates that identi es the (geographical) position of a respective data collection site. The set of locations of those data collection sites (the so-called - sign) in uences decisively the quality of the results of the statistical analysis. Usually in choosing the design the aim is to ensure cont- uous monitoring of a data generating process or to allow for point prediction of present or future states of nature. Cox et al. (1997) have listed current and future issues in this research area, many of which will also be addressed on the following pages. 2 1. Introduction Sampling theory (see Bellhouse (1988)) and optimum experimental designtheory(seeAtkinson and Fedorov (1989))aretwolargebranches in theoretical statistics that have developed separately, though with considerable theoretical overlap (see e. g. Fienberg and Tanur (1987)), both of them providing methods for e cient site positioning. Collecting Spatial Data: UndIhrkonnt messen, richtig messen Ja. Ich habe mich sowohl an Horizontal- als auch an H ohenmessungenbeteiligt,obgleichichnichtbehauptenwill, dass ich mich als ausgelernten Feldmesser betrachte. May (1893) Spatial data occur in many elds such as agriculture, geology, en- ronmental sciences, and economics (see Isaaks and Srivastava (1989) or Haining (1990)). They have been recorded and analyzed probably as early as men started to make maps, however the origins of their statistical analysis as we understand it today must probably be - tributed to the work of Matheron (1963). Spatial data has the disti- tive characteristic that, attached to every observation, we have a set of coordinates that identi es the (geographical) position of a respective data collection site. The set of locations of those data collection sites (the so-called - sign) in uences decisively the quality of the results of the statistical analysis. Usually in choosing the design the aim is to ensure cont- uous monitoring of a data generating process or to allow for point prediction of present or future states of nature. Cox et al. (1997) have listed current and future issues in this research area, many of which will also be addressed on the following pages. 2 1. Introduction Sampling theory (see Bellhouse (1988)) and optimum experimental designtheory(seeAtkinson and Fedorov (1989))aretwolargebranches in theoretical statistics that have developed separately, though with considerable theoretical overlap (see e. g. Fienberg and Tanur (1987)), both of them providing methods for e cient site positioning. Environmental Monitoring Experimental Design Exploratory Design Sensor Location Spatial Data Spatial Statistics digital elevation model statistics C Earth Sciences, general Statistics for Business/Economics/Mathematical Finance/Insurance Statis, Springer Berlin

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Collecting Spatial Data - Werner G. Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Werner G. Müller:

Collecting Spatial Data - neues Buch

ISBN: 9783540311751

ID: 9783540311751

Optimum Design of Experiments for Random Fields UndIhrkonnt messen, richtig messen Ja. Ich habe mich sowohl an Horizontal- als auch an H ohenmessungenbeteiligt,obgleichichnichtbehauptenwill, dass ich mich als ausgelernten Feldmesser betrachte. May (1893) Spatial data occur in many elds such as agriculture, geology, en- ronmental sciences, and economics (see Isaaks and Srivastava (1989) or Haining (1990)). They have been recorded and analyzed probably as early as men started to make maps, however the origins of their statistical analysis as we understand it today must probably be - tributed to the work of Matheron (1963). Spatial data has the disti- tive characteristic that, attached to every observation, we have a set of coordinates that identi es the (geographical) position of a respective data collection site. The set of locations of those data collection sites (the so-called - sign) in uences decisively the quality of the results of the statistical analysis. Usually in choosing the design the aim is to ensure cont- uous monitoring of a data generating process or to allow for point prediction of present or future states of nature. Cox et al. (1997) have listed current and future issues in this research area, many of which will also be addressed on the following pages. 2 1. Introduction Sampling theory (see Bellhouse (1988)) and optimum experimental designtheory(seeAtkinson and Fedorov (1989))aretwolargebranches in theoretical statistics that have developed separately, though with considerable theoretical overlap (see e. g. Fienberg and Tanur (1987)), both of them providing methods for e cient site positioning. Collecting Spatial Data: UndIhrkonnt messen, richtig messen Ja. Ich habe mich sowohl an Horizontal- als auch an H ohenmessungenbeteiligt,obgleichichnichtbehauptenwill, dass ich mich als ausgelernten Feldmesser betrachte. May (1893) Spatial data occur in many elds such as agriculture, geology, en- ronmental sciences, and economics (see Isaaks and Srivastava (1989) or Haining (1990)). They have been recorded and analyzed probably as early as men started to make maps, however the origins of their statistical analysis as we understand it today must probably be - tributed to the work of Matheron (1963). Spatial data has the disti- tive characteristic that, attached to every observation, we have a set of coordinates that identi es the (geographical) position of a respective data collection site. The set of locations of those data collection sites (the so-called - sign) in uences decisively the quality of the results of the statistical analysis. Usually in choosing the design the aim is to ensure cont- uous monitoring of a data generating process or to allow for point prediction of present or future states of nature. Cox et al. (1997) have listed current and future issues in this research area, many of which will also be addressed on the following pages. 2 1. Introduction Sampling theory (see Bellhouse (1988)) and optimum experimental designtheory(seeAtkinson and Fedorov (1989))aretwolargebranches in theoretical statistics that have developed separately, though with considerable theoretical overlap (see e. g. Fienberg and Tanur (1987)), both of them providing methods for e cient site positioning. Environmental Monitoring Economics and Finance Statistics for Business/Economics/Mathematical Finance/Insurance C statistics Spatial Data Regional/Spatial Science Experimental Design Spatial Statistics Exploratory Design Statistics for Engineeri, Springer Berlin

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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Collecting Spatial Data - Werner G. Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Werner G. Müller:
Collecting Spatial Data - neues Buch

ISBN: 9783540311751

ID: 9783540311751

UndIhrkonnt messen, richtig messen Ja. Ich habe mich sowohl an Horizontal- als auch an H ohenmessungenbeteiligt,obgleichichnichtbehauptenwill, dass ich mich als ausgelernten Feldmesser betrachte. May (1893) Spatial data occur in many elds such as agriculture, geology, en- ronmental sciences, and economics (see Isaaks and Srivastava (1989) or Haining (1990)). They have been recorded and analyzed probably as early as men started to make maps, however the origins of their statistical analysis as we understand it today must probably be - tributed to the work of Matheron (1963). Spatial data has the disti- tive characteristic that, attached to every observation, we have a set of coordinates that identi es the (geographical) position of a respective data collection site. The set of locations of those data collection sites (the so-called - sign) in uences decisively the quality of the results of the statistical analysis. Usually in choosing the design the aim is to ensure cont- uous monitoring of a data generating process or to allow for point prediction of present or future states of nature. Cox et al. (1997) have listed current and future issues in this research area, many of which will also be addressed on the following pages. 2 1. Introduction Sampling theory (see Bellhouse (1988)) and optimum experimental designtheory(seeAtkinson and Fedorov (1989))aretwolargebranches in theoretical statistics that have developed separately, though with considerable theoretical overlap (see e. g. Fienberg and Tanur (1987)), both of them providing methods for e cient site positioning. Collecting Spatial Data: UndIhrkonnt messen, richtig messen Ja. Ich habe mich sowohl an Horizontal- als auch an H ohenmessungenbeteiligt,obgleichichnichtbehauptenwill, dass ich mich als ausgelernten Feldmesser betrachte. May (1893) Spatial data occur in many elds such as agriculture, geology, en- ronmental sciences, and economics (see Isaaks and Srivastava (1989) or Haining (1990)). They have been recorded and analyzed probably as early as men started to make maps, however the origins of their statistical analysis as we understand it today must probably be - tributed to the work of Matheron (1963). Spatial data has the disti- tive characteristic that, attached to every observation, we have a set of coordinates that identi es the (geographical) position of a respective data collection site. The set of locations of those data collection sites (the so-called - sign) in uences decisively the quality of the results of the statistical analysis. Usually in choosing the design the aim is to ensure cont- uous monitoring of a data generating process or to allow for point prediction of present or future states of nature. Cox et al. (1997) have listed current and future issues in this research area, many of which will also be addressed on the following pages. 2 1. Introduction Sampling theory (see Bellhouse (1988)) and optimum experimental designtheory(seeAtkinson and Fedorov (1989))aretwolargebranches in theoretical statistics that have developed separately, though with considerable theoretical overlap (see e. g. Fienberg and Tanur (1987)), both of them providing methods for e cient site positioning., Springer-Verlag Gmbh

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Collecting Spatial Data - Werner G. Müller
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Collecting Spatial Data - neues Buch

ISBN: 9783540311751

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Economics; Regional/Spatial Science; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Math. Appl. in Environmental Science; Earth Sciences, general; Statistics for Business/Economics/Mathematical Finance/Insurance Environmental Monitoring, Experimental Design, Exploratory Design, Sensor Location, Spatial Data, Spatial Statistics, digital elevation model, statistics Books eBook, Springer Science+Business Media

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2007, ISBN: 9783540311751

ID: 21678817

Optimum Design of Experiments for Random Fields, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]

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Collecting Spatial Data
Autor:

Müller, Werner G.

Titel:

Collecting Spatial Data

ISBN-Nummer:

9783540311751

Detailangaben zum Buch - Collecting Spatial Data


EAN (ISBN-13): 9783540311751
ISBN (ISBN-10): 3540311750
Erscheinungsjahr: 2007
Herausgeber: Springer Berlin
242 Seiten
Sprache: eng/Englisch

Buch in der Datenbank seit 05.10.2010 18:45:47
Buch zuletzt gefunden am 08.03.2017 20:17:54
ISBN/EAN: 9783540311751

ISBN - alternative Schreibweisen:
3-540-31175-0, 978-3-540-31175-1

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