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Empirical Modeling and Its Applications

Empirical Modeling and Its Applications PDF Author: Dr. Md. Mamun Habib
Publisher: BoD – Books on Demand
ISBN: 9535124935
Category : Computers
Languages : en
Pages : 150

Book Description
Empirical modeling has been a useful approach for the analysis of different problems across numerous areas/fields of knowledge. As it is known, this type of modeling is particularly helpful when parametric models, due to various reasons, cannot be constructed. Based on different methodologies and approaches, empirical modeling allows the analyst to obtain an initial understanding of the relationships that exist among the different variables that belong to a particular system or process. In some cases, the results from empirical models can be used in order to make decisions about those variables, with the intent of resolving a given problem in the real-life applications. This book entitled Empirical Modeling and Its Applications consists of six (6) chapters.

Empirical Modeling and Its Applications

Empirical Modeling and Its Applications PDF Author: Dr. Md. Mamun Habib
Publisher: BoD – Books on Demand
ISBN: 9535124935
Category : Computers
Languages : en
Pages : 150

Book Description
Empirical modeling has been a useful approach for the analysis of different problems across numerous areas/fields of knowledge. As it is known, this type of modeling is particularly helpful when parametric models, due to various reasons, cannot be constructed. Based on different methodologies and approaches, empirical modeling allows the analyst to obtain an initial understanding of the relationships that exist among the different variables that belong to a particular system or process. In some cases, the results from empirical models can be used in order to make decisions about those variables, with the intent of resolving a given problem in the real-life applications. This book entitled Empirical Modeling and Its Applications consists of six (6) chapters.

Empirical Modeling and Data Analysis for Engineers and Applied Scientists

Empirical Modeling and Data Analysis for Engineers and Applied Scientists PDF Author: Scott A. Pardo
Publisher: Springer
ISBN: 3319327682
Category : Mathematics
Languages : en
Pages : 255

Book Description
This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.

Empirical Agent-Based Modelling - Challenges and Solutions

Empirical Agent-Based Modelling - Challenges and Solutions PDF Author: Alexander Smajgl
Publisher: Springer Science & Business Media
ISBN: 1461461340
Category : Mathematics
Languages : en
Pages : 254

Book Description
This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes' ready to be implemented. Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years. In ABM, a system is modeled as a collection of autonomous decision-making entities called “agents.” Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling. ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth. This is the first volume in a series of books that aims to contribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.

Extracting Knowledge From Time Series

Extracting Knowledge From Time Series PDF Author: Boris P. Bezruchko
Publisher: Springer Science & Business Media
ISBN: 3642126014
Category : Science
Languages : en
Pages : 416

Book Description
Mathematical modelling is ubiquitous. Almost every book in exact science touches on mathematical models of a certain class of phenomena, on more or less speci?c approaches to construction and investigation of models, on their applications, etc. As many textbooks with similar titles, Part I of our book is devoted to general qu- tions of modelling. Part II re?ects our professional interests as physicists who spent much time to investigations in the ?eld of non-linear dynamics and mathematical modelling from discrete sequences of experimental measurements (time series). The latter direction of research is known for a long time as “system identi?cation” in the framework of mathematical statistics and automatic control theory. It has its roots in the problem of approximating experimental data points on a plane with a smooth curve. Currently, researchers aim at the description of complex behaviour (irregular, chaotic, non-stationary and noise-corrupted signals which are typical of real-world objects and phenomena) with relatively simple non-linear differential or difference model equations rather than with cumbersome explicit functions of time. In the second half of the twentieth century, it has become clear that such equations of a s- ?ciently low order can exhibit non-trivial solutions that promise suf?ciently simple modelling of complex processes; according to the concepts of non-linear dynamics, chaotic regimes can be demonstrated already by a third-order non-linear ordinary differential equation, while complex behaviour in a linear model can be induced either by random in?uence (noise) or by a very high order of equations.

Air Pollution Modeling and Its Application IX

Air Pollution Modeling and Its Application IX PDF Author: H. Van Dop
Publisher: Springer Science & Business Media
ISBN: 9780306442483
Category : Gardening
Languages : en
Pages : 820

Book Description
Proceedings of the 19th NATO/CCMS International Technical Meeting on Air Pollution Modeling and its Application held in Crete, Greece, September 29-October 4, 1991

Age-Period-Cohort Analysis

Age-Period-Cohort Analysis PDF Author: Yang Yang
Publisher: CRC Press
ISBN: 1466507535
Category : Mathematics
Languages : en
Pages : 352

Book Description
This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions.

Air Pollution Modeling and Its Application XIX

Air Pollution Modeling and Its Application XIX PDF Author: Carlos Borrego
Publisher: Springer Science & Business Media
ISBN: 1402084536
Category : Technology & Engineering
Languages : en
Pages : 766

Book Description
In 1969, the North Atlantic Treaty Organization (NATO) established the C- mittee on Challenges of Modern Society (CCMS). The subject of air pollution was from the start one of the priority problems under study within the framework of various pilot studies undertaken by this committee. The organization of a periodic conference dealing with air pollution modelling and its application has become one of the main activities within the pilot study relating to air pollution. The first five international conferences were organized by the United States as the pilot country, the second five by the Federal Republic of Germany, the third five by Belgium, the fourth four by The Netherlands, the next five by Denmark and the last five by Portugal. This volume contains the abstracts of papers and posters presented at the 29th NATO/CCMS International Technical Meeting on Air Pollution Modelling and Its Application, held in Aveiro, Portugal, during September 24–28, 2007. This ITM was organized by the University of Aveiro, Portugal (Pilot Country and Host Organization). The key topics distinguished at this ITM included: Local and urban scale modelling; Regional and intercontinental modelling; Data assimilation and air quality forecasting; Model assessment and verification; Aerosols in the atmosphere; Interactions between climate change and air quality; Air quality and human health.

European Control Conference 1995

European Control Conference 1995 PDF Author:
Publisher: European Control Association
ISBN:
Category :
Languages : en
Pages : 652

Book Description
Proceedings of the European Control Conference 1995, Rome, Italy 5-8 September 1995

Introduction to the physics of the electric arc and its application to the welding of metals

Introduction to the physics of the electric arc and its application to the welding of metals PDF Author: Paulo J. Modenesi
Publisher: Ecoe Ediciones
ISBN: 958503297X
Category : Technology & Engineering
Languages : en
Pages : 251

Book Description
This book presents an overview of the electric arc characteristics, particularly those that are important for welding applications. This more scientific approach intends to provide insights for a better understanding of the phenomena that control the behavior of an arc welding process. The text aims to emphasize physical phenomena that are important to arc welding, not dealing with technological, industrial or metallurgical aspects of welding. Among other topics, the following topics are included in this manuscript: heat sources for fusion welding, electric discharges in gases, arc evaluation techniques, electric arc profile, metal transfer, wire melting rate and process stability.

Empirical Implications of Theoretical Models in Political Science

Empirical Implications of Theoretical Models in Political Science PDF Author: Jim Granato
Publisher: Cambridge University Press
ISBN: 0521193869
Category : Political Science
Languages : en
Pages : 399

Book Description
Provides a framework to demonstrate how to unify formal, theoretical and empirical analysis through various interdisciplinary examples.