We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£113.25
Springer - Practice of Bayesian Probability Theory in Geotechnical Engineering
Price data last checked 105 day(s) ago - refreshing...
We'll watch every seller, every day. One email when your price arrives.
This is the most expensive it has ever been. Walk away.
£113 today · previous high £113 · all-time low £104
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 118 days • 118 data points (No recent data available)
Price Distribution
Price distribution over 118 days • 6 price levels
Price Analysis
Most common price: £107 (55 days, 46.6%)
Price range: £104 - £113
Price levels: 6 different prices over 118 days
Description
Key Features
Published by Springer, a recognized name in academic and professional technical literature.
Focuses on the application of Bayesian probability theory within geotechnical engineering contexts.
Provides relevant content for those studying AI and machine learning in engineering fields.
Serves as a specialized resource for computer science and geotechnical engineering topics.
Offers a deep dive into mathematical probability frameworks for technical professionals.
Product Specifications
- Brand
- Springer
- Format
- Paperback
- ASIN
- 9811591075
- Domain
- Amazon UK
- Release Date
- 14 November 2021
- Listed Since
- 19 October 2021
Barcode
No barcode data available
Similar Products You Might Like
Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences
Springer
Prior Processes and Their Applications: Nonparametric Bayesian Estimation (Springer Series in Statistics)
Springer
Theorems on the Prevalence Threshold and the Geometry of Screening Curves: A Bayesian Approach to Clinical Decision-Making
Springer
Multi-Level Bayesian Models for Environment Perception
Springer
Geotechnical and Foundation Engineering Practice in Industrial Projects
Springer
Bayesian Real-Time System Identification: From Centralized to Distributed Approach
Springer
Routledge Bayesian Statistics: The Basics - Educational Book
Routledge
Probabilistic Topic Models: Foundation and Application
Springer
Geotechnical Reliability Analysis: Theories, Methods and Algorithms
Springer
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering)
CRC Press
New Insights into Bayesian Inference
IntechOpen
Application of Bayesian Estimation to Educational Research
LAP Lambert Academic Publishing
Soil Dynamics and Foundation Modeling: Offshore and Earthquake Engineering (Risk Engineering)
Springer
Bayesian Spatial Modelling with Conjugate Prior Models
Springer
Modern Applications of Geotechnical Engineering and Construction: Geotechnical Engineering and Construction: 112 (Lecture Notes in Civil Engineering, 112)
Springer
Modern Bayesian Computation: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)
Practices and Trends in Ground Improvement Techniques (Developments in Geotechnical Engineering)
Springer
Mathematical Geosciences: Hybrid Symbolic-Numeric Methods
Springer
Geoscience for Petroleum Engineers
Springer
Geoscience for Petroleum Engineers
Springer
Geotechnical Engineering in the Digital and Technological Innovation Era (Springer Series in Geomechanics and Geoengineering)
CRC Press Bayesian Compressive Sensing - Site Characterization
CRC Press
Biobased Materials: Recent Developments and Industrial Applications
Springer
Practical Biostatistics for Medical and Health Sciences
Springer