Описание: High levels of uncertainty are a trademark of geological investigations, such as the search for oil, diamonds, and uranium. So business ventures related to geology, such as mineral exploration and mining, are naturally associated with higher risks than more traditional entrepreneurial ventures in industry and economy. There are also a number of dangerous natural hazards, e.g. earthquakes, volcanic activities, and inundations, that are the direct result of geological processes. It is of paramount interest to study them all, to describe them, to understand their origin and - if possible - to predict them. While uncertainties, geological risks and natural hazards are often mentioned in geological textbooks, conferences papers, and articles, no comprehensive and systematic evaluation has so far been attempted. This book, written at an appropriately sophisticated level to deal with complexity of these problems, presents a detailed evaluation of the entire problem, discussing it from both, the geological and the mathematical aspects.
Автор: Banerjee, Sudipto Carlin, Bradley P. Gelfand, Alan E. Название: Hierarchical modeling and analysis for spatial data ISBN: 1439819173 ISBN-13(EAN): 9781439819173 Издательство: Taylor&Francis Рейтинг: Цена: 15310.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a broad-based overview of the biology of the red panda, Ailurus fulgens. This book gathers the information on the red panda both from the field and captivity as well as from cultural aspects, and attempts to answer that most fundamental of questions, `What is a red panda?`
Автор: Manfred Drosg Название: Dealing with Uncertainties ISBN: 3642425402 ISBN-13(EAN): 9783642425400 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative monograph lays special emphasis on the deductive approach to uncertainties and on the shape of uncertainty distributions. The approach used to understand the nature of uncertainties is novel in that it is completely decoupled from measurements.
Автор: Michael Grabe Название: Measurement Uncertainties in Science and Technology ISBN: 331933056X ISBN-13(EAN): 9783319330563 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book recasts classical Gaussian error calculus from scratch. The new edition thoroughly restructures and systematizes the text and offers numerous numerical examples, showing how to understand uncertainties, to localize the true values of measured values.
Автор: Hofstadler Название: Chances and Risks in Construction Management and Economics ISBN: 3030640167 ISBN-13(EAN): 9783030640163 Издательство: Springer Рейтинг: Цена: 16070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book outlines the processes of calculating and critically reviewing construction costs and times for clients and contractors in different project phases. Any project or structural analysis should yield accurate information on times, costs, and prices. The related database is more or less uncertain depending on project complexity and the circumstances of work performance. It is thus recommended to use ranges of key input parameters. This approach consistently considers uncertainties within a holistic project view, thus enhancing the plausibility and validity of specific values. Only the integration of probabilistic methods will allow for calculating and graphically representing the chance/risk ratio as a crucial project variable ultimately influencing the entire business. This book examines the systemic modeling and consideration of uncertainties when determining construction costs and times, and life-cycle costs. It contains detailed descriptions of other decision-making processes, including project preparation and planning (developer calculation, soil survey, cost estimate), work preparation (costing, pricing, construction time evaluation, resource identification, comparison of construction methods, bid analysis, contract award), and project execution (site logistics, construction method selection, construction process planning, work coordination, sourcing, determination of additional costs, trend analyses), as well as for project portfolio management as a tool relevant to all phases.
Автор: S. V. Gupta Название: Measurement Uncertainties ISBN: 3642434126 ISBN-13(EAN): 9783642434129 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how to evaluate measurement results, exploring probability distributions and their properties and uncertainty calculations for independent linear inputs, non-linear inputs and correlated inputs. The text includes many numerical examples.
Автор: Mohamed Mansour; Silvano Balemi; Werner Tru?l Название: Robustness of Dynamic Systems with Parameter Uncertainties ISBN: 3034872704 ISBN-13(EAN): 9783034872706 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Robust Control is one of the fastest growing and promising areas of research today. However, this second workshop was restricted to robust control of dynamic systems with parameter uncertainties with the objective to concentrate on some aspects of robust control.
Описание: Chapter 1: Introduction.- Chapter 2: Basics.- Chapter 3: Data, Information, Knowledge, and BIM.- Chapter 4: Management of Chances and Risks.- Chapter 5: Applying the Management of Chances and Risks to Project Phases.- Chapter 6: The Fundamentals of Monte Carlo Simulations.- Chapter 7: Application of Monte Carlo Simulations.- Chapter 8: Influence of Project Lead Time and Construction Time on Project Targets.- Chapter 9: Worked Examples - Client.- Chapter 10: Worked Examples - Contractor.
Автор: Dionisis Hristopulos Название: Random Fields for Spatial Data Modeling ISBN: 9402419160 ISBN-13(EAN): 9789402419160 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Preliminary Remarks.- Why Random Fields?.- Notation and Definitions.- Noise and Errors.- Spatial Data and Basic Processing Procedures.- A Personal Selection of Relevant Books.- Trend Models and Estimation.- Empirical Trend Estimation.- Regression Analysis.- Global Trend Models.- Local Trend Models.- Trend Estimation based on Physical Information.- Trend Based on the Laplace Equation.- Basic Notions of Random Fields.- Introduction.- Single-Point Description.- Stationarity and Statistical Homogeneity.- Variogram versus Covariance.- Permissibility of Covariance Functions.- Permissibility of Variogram Functions.- Additional Topics of Random Field Modeling.- Ergodicity.- Statistical Isotropy.- Anisotropy.- Anisotropic Spectral Densities.- Multipoint Description of Random Fields.- Geometric Properties of Random Fields.- Local Properties.- Covariance Hessian Identity and Geometric Anisotropy.- Spectral Moments.- Length Scales of Random Fields.- Fractal Dimension.- Long-Range Dependence.- Intrinsic Random Fields.- Fractional Brownian Motion.- Classification of Random Fields.- Gaussian Random Fields.- Multivariate Normal Distribution.- Field Integral Formulation.- Useful Properties of Gaussian Random Fields.- Perturbation Theory for Non-Gaussian Probability Densities.- Non-stationary Covariance Functions.- Further Reading.- Random Fields based on Local Interactions.- Spartan Spatial Random Fields.- Two-point Functions and Realizations.- Statistical and Geometric Properties.- Bessel-Lommel Covariance Functions.- Lattice Representations of Spartan Random Fields.- Introduction to Gauss-Markov Random Fields.- From Spartan Random Fields to Gauss-Markov Random Fields.- Lattice Spectral Density.- SSRF Lattice Moments.- SSRF Inverse Covariance Operator on Lattices.- Spartan Random Fields and Langevin Equations.- Introduction to Stochastic Differential Equations.- Classical Harmonic Oscillator.- Stochastic Partial Differential Equations.- Spartan Random Fields and Stochastic Partial Differential Equations.- Covariance and Green's functions.- Whittle-Matйrn Stochastic Partial Differential Equation.- Diversion in Time Series.- Spatial Prediction Fundamentals.- General Principles of Linear Prediction.- Deterministic Interpolation.- Stochastic Methods.- Simple Kriging.- Ordinary Kriging.- Properties of the Kriging Predictor.- Topics Related to the Application of Kriging.- Evaluating Model Performance.- More on Spatial Prediction.- Linear Generalizations of Kriging.- Nonlinear Extensions of Kriging.- Connections with Gaussian Process Regression.- Bayesian Kriging.- Continuum Formulation of Linear Prediction.- The "Local-Interaction" Approach.- Big Spatial Data.- Basic Concepts and Methods of Estimation.- Estimator Properties.- Estimating the Mean with Ordinary Kriging.- Variogram Estimation.- Maximum Likelihood Estimation.- Cross Validation.- More on Estimation.- The Method of Normalized Correlations.- The Method of Maximum Entropy.- Stochastic Local Interactions.- Measuring Ergodicity.- Beyond the Gaussian Models.- Trans-Gaussian Random Fields.- Gaussian Anamorphosis.- Tukey g-h Random Fields.- Transformations based on Kappa Exponentials.- Hermite Polynomials.- Multivariate Student's t-distribution.- Copula Models.- The Replica Method.- Binary Random Fields.- The Indicator Random Field.- Ising Model.- Generalized Linear Models.- Simulations.- Introduction.- Covariance Matrix Factorization.- Spectral Simulation Methods.- Fast-Fourier-Transform Simulation.- Randomized Spectral Sampling.- Conditional Simulation based on Polarization Method.- Conditional Simulation based on Covariance Matrix Factorization.- Monte Carlo Methods.- Sequential Simulation of Random Fields.- Simulated Annealing.- Karhunen-Loиve Expansion.- Karhunen-Loиve Expansion of Spartan Random Fields.- Epilogue.- A Jacobi's Transformation Theorems.- B Tables of SSRF Properties.- C Linear Algebra Facts.- D Kolmogorov-Smirnov Test.- Glossary.- References.-
Автор: Gonzalez Canche Название: Spatial Socio-econometric Modeling (SSEM) ISBN: 3031248562 ISBN-13(EAN): 9783031248566 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the primary goal of expanding access to spatial data science tools, this book offers dozens of minimal or low-code functions and tutorials designed to ease the implementation of fully reproducible Spatial Socio-Econometric Modeling (SSEM) analyses. Designed as a University of Pennsylvania Ph.D. level course for sociologists, political scientists, urban planners, criminologists, and data scientists, this textbook equips social scientists with all concepts, explanations, and functions required to strengthen their data storytelling. It specifically provides social scientists with a comprehensive set of open-access minimal code tools to: •Identify and access place-based longitudinal and cross-sectional data sources and formats •Conduct advanced data management, including crosswalks, joining, and matching •Fully connect social network analyses with geospatial statistics •Formulate research questions designed to account for place-based factors in model specification and assess their relevance compared to individual- or unit-level indicators •Estimate distance measures across units that follow road network paths •Create sophisticated and interactive HTML data visualizations cross-sectionally or longitudinally, to strengthen research storytelling capabilities •Follow best practices for presenting spatial analyses, findings, and implications •Master theories on neighborhood effects, equality of opportunity, and geography of (dis)advantage that undergird SSEM applications and methods •Assess multicollinearity issues via machine learning that may affect coefficients' estimates and guide the identification of relevant predictors •Strategize how to address feedback loops by using SSEM as an identification framework that can be merged with standard quasi-experimental techniques like propensity score models, instrumental variables, and difference in differences •Expand the SSEM analyses to connections that emerge via social interactions, such as co-authorship and advice networks, or any form of relational data The applied nature of the book along with the cost-free, multi-operative R software makes the usability and applicability of this textbook worldwide.
Описание: Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, the third edition provides an up-to-date, cohesive account of the full range of Bayesian disease m
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