Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2025
Genre:	EDV / Informatik
	advanced geotechnical data interpretation / Artificial Intelligence / Artificial Intelligence (AI) / Civil engineering, surveying & building / Civil engineering, surveying and building / COMPUTERS / Data Science / Machine Learning / cross-correlation methods / parameter estimation techniques / Probabilistic modeling / Probability & statistics / Probability and statistics / soil property analysis / Spatial Statistics / TECHNOLOGY & ENGINEERING / Civil / General / TECHNOLOGY & ENGINEERING / Civil / Soil & Rock / underground site assessment / Waste Management mehr...
ISBN:	9781032314433
EAN-Code:	9781032314433
Verlag:	Taylor and Francis
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	350 gr
Seiten:	176
Illustration:	schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction. Use of these methods is demonstrated with geotechnical site characterization examples.