advanced spatial statistics special di griffith daniel (8 risultati)

Gebundene Ausgabe. Condizione: Gut. 292 Seiten Sofort verfügbar Versand spätestens am nächsten Arbeitstag Rechnung mit ausgewiesener MwSt. liegt bei daily shipping worldwide with invoice ex library in good condition aus Bibliothek in guten Zustand Sprache: Englisch Gewicht in Gramm: 550.

Hardcover. Condizione: Very Good. Series: Advanced Studies in Theoretical and Applied Econometrics. xiv 272p green hardback, laminated boards, inscribed by the author, very good indeed, almost as new Language: English.

Gr.-8°, ill. OPp. Condizione: Gut. 275 S. Gut; Rücken geblichen, sonst sehr gut - textsauber 04-60680 9789024736270 + + + Versand noch am gleichen Tag bei Bestelleingang werktags bis 15 Uhr + + + Alle Preise inkl. MWSt. + + + Sprache: Englisch Gewicht in Gramm: 680.

Condizione: New. In.

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Paperback. Condizione: Brand New. 292 pages. 9.25x6.10x0.66 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware - In recent years there has been a growing interest in and concern for the development of a sound spatial statistical body of theory. This work has been undertaken by geographers, statisticians, regional scientists, econometricians, and others (e. g. , sociologists). It has led to the publication of a number of books, including Cliff and Ord's Spatial Processes (1981), Bartlett's The Statistical Analysis of Spatial Pattern (1975), Ripley's Spatial Statistics (1981), Paelinck and Klaassen's Spatial Economet~ics (1979), Ahuja and Schachter's Pattern Models (1983), and Upton and Fingleton's Spatial Data Analysis by Example (1985). The first of these books presents a useful introduction to the topic of spatial autocorrelation, focusing on autocorrelation indices and their sampling distributions. The second of these books is quite brief, but nevertheless furnishes an eloquent introduction to the rela tionship between spatial autoregressive and two-dimensional spectral models. Ripley's book virtually ignores autoregressive and trend surface modelling, and focuses almost solely on point pattern analysis. Paelinck and Klaassen's book closely follows an econometric textbook format, and as a result overlooks much of the important material necessary for successful spatial data analy sis. It almost exclusively addresses distance and gravity models, with some treatment of autoregressive modelling. Pattern Models supplements Cliff and Ord's book, which in combination provide a good introduction to spatial data analysis. Its basic limitation is a preoccupation with the geometry of planar patterns, and hence is very narrow in scope.

Buch. Condizione: Neu. Neuware - In recent years there has been a growing interest in and concern for the development of a sound spatial statistical body of theory. This work has been undertaken by geographers, statisticians, regional scientists, econometricians, and others (e. g. , sociologists). It has led to the publication of a number of books, including Cliff and Ord's Spatial Processes (1981), Bartlett's The Statistical Analysis of Spatial Pattern (1975), Ripley's Spatial Statistics (1981), Paelinck and Klaassen's Spatial Economet~ics (1979), Ahuja and Schachter's Pattern Models (1983), and Upton and Fingleton's Spatial Data Analysis by Example (1985). The first of these books presents a useful introduction to the topic of spatial autocorrelation, focusing on autocorrelation indices and their sampling distributions. The second of these books is quite brief, but nevertheless furnishes an eloquent introduction to the rela tionship between spatial autoregressive and two-dimensional spectral models. Ripley's book virtually ignores autoregressive and trend surface modelling, and focuses almost solely on point pattern analysis. Paelinck and Klaassen's book closely follows an econometric textbook format, and as a result overlooks much of the important material necessary for successful spatial data analy sis. It almost exclusively addresses distance and gravity models, with some treatment of autoregressive modelling. Pattern Models supplements Cliff and Ord's book, which in combination provide a good introduction to spatial data analysis. Its basic limitation is a preoccupation with the geometry of planar patterns, and hence is very narrow in scope.