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Practice of Bayesian Probability Theory in Geotechnical Engineering

This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four;

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Bayesian Probability Theory

From the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis;

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Numerical Methods in Geotechnical Engineering

Numerical Methods in Geotechnical Engineering contains 153 scientific papers presented at the 7th European Conference on Numerical Methods;

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The Bayesian Way: Introductory Statistics for Economists and Engineers

of topics, starting with descriptive statistics, set theory, and combinatorics. The text then goes on to review fundamental probability theory and;

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Probability

This book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and;

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Probability

This book is an elementary and practical introduction to probability theory. It differs from other introductory texts in two important;

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Applied Civil Engineering Risk Analysis

This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these;

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Applied Civil Engineering Risk Analysis

This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these;

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Geotechnical Engineering State of the Art and Practice

. Geotechnical Engineering State of the Art and Practice: Keynote Lectures from GeoCongress 2012 contains 30 peer-reviewed papers that survey the entire;

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Probability, Statistics, and Decision for Civil Engineers

practicing engineers, this text covers the development of decision theory and the applications of probability within the field. Extensive use;

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Introduction to Probability and Statistics for Engineers

, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional;

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Introduction to Probability and Statistics for Engineers

, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional;

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Advanced Geotechnical Analyses

of engineering mechanics may be used to resolve many complex geotechnical engineering problems. It is hoped that these may inspire the geotechnical;

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Judgment and Innovation

Geotechnical Special Publication No. 111 contains six papers of timeless value from some of the most experienced leaders of the;

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Bayesian Modeling and Computation in Python

the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern;

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Biostatistics

confidence intervals, margins of error, and one-sided p-values-in Bayesian terms. Topics covered include: Probability and subjective probability;

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Numerical Methods in Geotechnical Engineering IX

Numerical Methods in Geotechnical Engineering IX contains 204 technical and scientific papers presented at the 9th European Conference on;

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Cambridge Studies in Probability, Induction and Decision Theory

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;

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Geo-volution

GEO-volution: The Evolution of Colorado's Geological and Geotechnical Engineering Practice contains 14 summary papers and practical case;

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Geotechnical Engineering Design

An accessible, clear, concise, and contemporary course in geotechnical engineering design. * covers the major in geotechnical engineering;

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Risk Assessment in Geotechnical Engineering

NEW PROBABILISTIC APPROACHES FOR REALISTIC RISK ASSESSMENT IN GEOTECHNICAL ENGINEERING. This text presents a thorough examination of the;

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Sound Geotechnical Research to Practice

Sound Geotechnical Research to Practice, GSP 230, honours Robert D. Holtz II, Ph.D., P.E., D. GE, Dist.M.ASCE, for his contributions to the;

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Probability and Bayesian Modeling

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus;

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Bayesian Decision Analysis

contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence;

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering

involving probability theory and information theory, as well as novel applications of inference to illuminate the foundations of physical theories;

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BAYESIAN INFERENCE

. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory;

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Proceedings of China-Europe Conference on Geotechnical Engineering

This book compiles the first part of contributions to the China-Europe Conference on Geotechnical Engineering held 13.-16. August 2016;

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