Moda 10 Advances In Model Oriented Design And Analysis Proceedings Of The 10th International Workshop In Model Oriented Design And Analysis Held In Lagw Lubuski Poland June 10 14 2013
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Author | : Dariusz Ucinski |
Publisher | : Springer Science & Business Media |
Total Pages | : 254 |
Release | : 2013-03-21 |
Genre | : Mathematics |
ISBN | : 331900218X |
This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa). A model-oriented view on the design of experiments, which is the unifying theme of all mODa meetings, assumes some knowledge of the form of the data-generating process and naturally leads to the so-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent years because of the increased speed of scientific developments, the complexity of the systems currently under investigation and the mounting pressure on businesses, industries and scientific researchers to reduce product and process development times. This increased competition requires ever increasing efficiency in experimentation, thus necessitating new statistical designs. This book presents a rich collection of carefully selected contributions ranging from statistical methodology to emerging applications. It primarily aims to provide an overview of recent advances and challenges in the field, especially in the context of new formulations, methods and state-of-the-art algorithms. The topics included in this volume will be of interest to all scientists and engineers and statisticians who conduct experiments.
Author | : Dariusz Ucinski |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : |
ISBN | : |
Author | : United States Government Accountability Office |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 104 |
Release | : 2018-02-03 |
Genre | : |
ISBN | : 9781984167101 |
High-Containment Laboratories: National Strategy for Oversight Is Needed
Author | : Holly Hughes |
Publisher | : |
Total Pages | : |
Release | : 2005 |
Genre | : American drama |
ISBN | : |
Author | : Alessandra Giovagnoli |
Publisher | : Springer Science & Business Media |
Total Pages | : 259 |
Release | : 2010-06-10 |
Genre | : Mathematics |
ISBN | : 3790824100 |
Statisticians and experimentalists will find the latest trends in optimal experimental design research. Some papers are pioneering contributions, leading to new open research problems. It is a colection of peer reviewed papers.
Author | : Shikha Agarwal |
Publisher | : Cambridge University Press |
Total Pages | : 1343 |
Release | : 2019-05-23 |
Genre | : Science |
ISBN | : 1108724442 |
Written in lucid language, the book offers a detailed treatment of fundamental concepts of chemistry and its engineering applications.
Author | : Kok-Kwang Phoon |
Publisher | : CRC Press |
Total Pages | : 624 |
Release | : 2018-10-09 |
Genre | : Technology & Engineering |
ISBN | : 1482227223 |
Establishes Geotechnical Reliability as Fundamentally Distinct from Structural Reliability Reliability-based design is relatively well established in structural design. Its use is less mature in geotechnical design, but there is a steady progression towards reliability-based design as seen in the inclusion of a new Annex D on "Reliability of Geotechnical Structures" in the third edition of ISO 2394. Reliability-based design can be viewed as a simplified form of risk-based design where different consequences of failure are implicitly covered by the adoption of different target reliability indices. Explicit risk management methodologies are required for large geotechnical systems where soil and loading conditions are too varied to be conveniently slotted into a few reliability classes (typically three) and an associated simple discrete tier of target reliability indices. Provides Realistic Practical Guidance Risk and Reliability in Geotechnical Engineering makes these reliability and risk methodologies more accessible to practitioners and researchers by presenting soil statistics which are necessary inputs, by explaining how calculations can be carried out using simple tools, and by presenting illustrative or actual examples showcasing the benefits and limitations of these methodologies. With contributions from a broad international group of authors, this text: Presents probabilistic models suited for soil parameters Provides easy-to-use Excel-based methods for reliability analysis Connects reliability analysis to design codes (including LRFD and Eurocode 7) Maximizes value of information using Bayesian updating Contains efficient reliability analysis methods Accessible To a Wide Audience Risk and Reliability in Geotechnical Engineering presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way. It suits engineers, researchers, and students who are interested in the practical outcomes of reliability and risk analyses without going into the intricacies of the underlying mathematical theories.
Author | : Sébastien Da Veiga |
Publisher | : SIAM |
Total Pages | : 307 |
Release | : 2021-10-14 |
Genre | : Mathematics |
ISBN | : 1611976693 |
This book provides an overview of global sensitivity analysis methods and algorithms, including their theoretical basis and mathematical properties. The authors use a practical point of view and real case studies as well as numerous examples, and applications of the different approaches are illustrated throughout using R code to explain their usage and usefulness in practice. Basics and Trends in Sensitivity Analysis: Theory and Practice in R covers a lot of material, including theoretical aspects of Sobol’ indices as well as sampling-based formulas, spectral methods, and metamodel-based approaches for estimation purposes; screening techniques devoted to identifying influential and noninfluential inputs; variance-based measures when model inputs are statistically dependent (and several other approaches that go beyond variance-based sensitivity measures); and a case study in R related to a COVID-19 epidemic model where the full workflow of sensitivity analysis combining several techniques is presented. This book is intended for engineers, researchers, and undergraduate students who use complex numerical models and have an interest in sensitivity analysis techniques and is appropriate for anyone with a solid mathematical background in basic statistical and probability theories who develops and uses numerical models in all scientific and engineering domains.
Author | : Ronald Cools |
Publisher | : Springer |
Total Pages | : 624 |
Release | : 2016-06-13 |
Genre | : Mathematics |
ISBN | : 3319335073 |
This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.
Author | : Alessandro Di Bucchianico |
Publisher | : Springer Science & Business Media |
Total Pages | : 239 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3790826936 |
The volume contains the proceedings of the 7th Workshop on Model-Oriented Design and Analysis which has had the purpose of bringing together leading researchers in Eastern and Western Europe for an in-depth discussion of the optimal design of experiments. The papers are representative of the latest developments concerning non-linear models, computational algorithms and important applications, especially to medical statistics.