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Author: Maurizio Crispino Publisher: CRC Press ISBN: 0429555253 Category : Technology & Engineering Languages : en Pages : 847
Book Description
Pavement and Asset Management contains contributions from the World Conference on Pavement and Asset Management (WCPAM 2017, Baveno, Italy, 12-16 June 2017). For the first time, the European Pavement and Asset Management Conference (EPAM) and the International Conference on Managing Pavement Assets (ICMPA) were joining forces for a global event that aimed not only at academics and researchers, but also at practitioners, engineers and technicians dealing with everyday tasks and responsibilities related to transport infrastructures pavement and asset management. Pavement and Asset Management covers a wide range of topics, from emerging research to engineering practice, and is grouped under the following themes: - Data quality and monitoring - Economics, political and environmental management, strategies - Deterioration models - Key performance indicators - PMS-case studies - Design and materials - M&R treatments - LCA & LCCA - Risk and safety - Bridge and tunnel management - Smart infrastructure and IT Pavement and Asset Management will be valuable to academics and professionals interested and/or involved in issues related to transport infrastructures pavement and asset management.
Author: Maurizio Crispino Publisher: CRC Press ISBN: 0429555253 Category : Technology & Engineering Languages : en Pages : 847
Book Description
Pavement and Asset Management contains contributions from the World Conference on Pavement and Asset Management (WCPAM 2017, Baveno, Italy, 12-16 June 2017). For the first time, the European Pavement and Asset Management Conference (EPAM) and the International Conference on Managing Pavement Assets (ICMPA) were joining forces for a global event that aimed not only at academics and researchers, but also at practitioners, engineers and technicians dealing with everyday tasks and responsibilities related to transport infrastructures pavement and asset management. Pavement and Asset Management covers a wide range of topics, from emerging research to engineering practice, and is grouped under the following themes: - Data quality and monitoring - Economics, political and environmental management, strategies - Deterioration models - Key performance indicators - PMS-case studies - Design and materials - M&R treatments - LCA & LCCA - Risk and safety - Bridge and tunnel management - Smart infrastructure and IT Pavement and Asset Management will be valuable to academics and professionals interested and/or involved in issues related to transport infrastructures pavement and asset management.
Author: Amin Akhnoukh Publisher: Springer Nature ISBN: 3030798011 Category : Technology & Engineering Languages : en Pages : 1211
Book Description
This volume focuses on recent advances in the planning, design, construction and management of new and existing roads with a particular focus on safety, sustainability and resilience. It discusses field experience through case studies and pilots presented by leading international subject-matter specialists. Chapters were selected from the 18th International Road Federation World Meeting & Exhibition, Dubai 2021.
Author: Karen Robson Publisher: SAGE ISBN: 1473934303 Category : Social Science Languages : en Pages : 153
Book Description
Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
Author: Paul Roback Publisher: CRC Press ISBN: 1439885400 Category : Mathematics Languages : en Pages : 436
Book Description
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)
Author: Edward W. Frees Publisher: Cambridge University Press ISBN: 9780521535380 Category : Business & Economics Languages : en Pages : 492
Book Description
An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Author: Timothy Z. Keith Publisher: Routledge ISBN: 1351667939 Category : Education Languages : en Pages : 640
Book Description
Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources
Author: Woodward-Clyde Consultants Publisher: Transportation Research Board National Research ISBN: Category : Technology & Engineering Languages : en Pages : 732
Author: Thawat Watanatada Publisher: Johns Hopkins University Press ISBN: Category : Business & Economics Languages : en Pages : 474
Book Description
Road-user costs are the largest cost elements in road transport. Improvements in road conditions can yet pay substantial dividends by reducing vehicle operating costs. Expressing vehicle operating costs in relation to road characteristics--geometry and pavement condition--is the logical approach. For certain cost components, especially fuel consumption, the required data can be obtained by controlled experiments. Vehicle maintenance costs utilizing extensive road-user surveys are needed. This volume takes an aggregate-mechanistic view of vehicle speed and operating costs under free flow conditions. Basing their analysis on the mechanistic principles of propulsion and motion as well as on postulated assumptions of driver behavior, the authors arrive at predictions at three levels of detail, ranging from a simulation method for use in detailed geometric design at the link level to an aggregate method for use in investment planning at the sectoral level. The models were estimated using the comprehensive database collected in the Brazil-UNDP-World Bank highway research project and were validated along with data sets from India. One of the significant contributions to highway economics research made in this study is the probabilistic limiting velocity approach to steady-state speed prediction, which, combined with the aggregate-mechanistic methodology, will provide a possible basis for future research on the far more complex problem of operating costs under congested conditions.
Author: Mathias Harrer Publisher: CRC Press ISBN: 1000435636 Category : Mathematics Languages : en Pages : 500
Book Description
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
Author: Maurizio Crispino
Author: Maurizio Crispino
Author: Amin Akhnoukh
Author: Karen Robson
Author: Paul Roback
Author: Edward W. Frees
Author: George Grekousis
Author: Timothy Z. Keith
Author: Woodward-Clyde Consultants
Author: Thawat Watanatada
Author: Mathias Harrer