Products related to Modeling:
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Highway Safety Analytics and Modeling
Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results.It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them.Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes.
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Predictive Analytics : Modeling and Optimization
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.This book provides the most recent advances in the field along with case studies and real-world examples.It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management.It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management.Students taking courses in these areas will also find this book of interest.
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Engineering Design Graphics : Sketching, Modeling, and Visualization
The most accessible and practical roadmap to visualizing engineering projects In the newly revised Third Edition of Engineering Design Graphics: Sketching, Modeling, and Visualization, renowned engineering graphics expert James Leake delivers an intuitive and accessible guide to bringing engineering concepts and projects to visual life.Including updated coverage of everything from freehand sketching to solid modeling in CAD, the author comprehensively discusses the tools and skills you'll need to sketch, draw, model, document, design, manufacture, or simulate a project.
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Modeling Operations Research and Business Analytics
This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics.Each chapter begins with a scenario and includes exercises built on realistic problems faced by managers and others working in operations research, business analytics, and other fields employing applied mathematics.A set of assumptions is presented, and then a model is formulated.A solution is offered, followed by examples of how that model can be used to address related issues. Key elements of this book include the most common problems the authors have encountered over research and while consulting the fields including inventory theory, facilities' location, linear and integer programming, assignment, transportation and shipping, critical path, dynamic programming, queuing models, simulation models, reliability of system, multi-attribute decision-making, and game theory. In the hands of an experienced professional, mathematical modeling can be a powerful tool.This book presents situations and models to help both professionals and students learn to employ these techniques to improve outcomes and to make addressing real business problems easier.The book is essential for all managers and others who would use mathematics to improve their problem-solving techniques. No previous exposure to mathematical modeling is required.The book can then be used for a first course on modeling, or by those with more experience who want to refresh their memories when they find themselves facing real-world problems.The problems chosen are presented to represent those faced by practitioners. The authors have been teaching mathematical modeling to students and professionals for nearly 40 years.This book is presented to offer their experience and techniques to instructors, students, and professionals.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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What is modeling?
Modeling is the process of creating a simplified representation of a real-world system in order to understand, analyze, and make predictions about its behavior. It involves using mathematical, statistical, or computational techniques to capture the essential features of the system and simulate its dynamics. Models can be used in various fields such as science, engineering, economics, and social sciences to study complex phenomena and make informed decisions. The goal of modeling is to gain insights into the underlying mechanisms of a system and to test different scenarios or hypotheses.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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Disease Mapping : From Foundations to Multidimensional Modeling
Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field.A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc.Although theory will be covered, the applied component will be equally as important with lots of practical examples offered.Features: Discusses the very latest developments on multivariate and multidimensional mapping. Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches. Balances epidemiological and statistical points-of-view. Requires no previous knowledge of disease mapping. Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets. Supplies R code for the examples in the book so that they can be reproduced by the reader. About the Authors:Miguel A. Martinez Beneito has spent his whole career working as a statistician for public health services, first at the epidemiology unit of the Valencia (Spain) regional health administration and later as a researcher at the public health division of FISABIO, a regional bio-sanitary research center.He has been also the Bayesian Hierarchical Models professor for several seasons at the University of Valencia Biostatics Master.Paloma Botella Rocamora has spent most of her professional career in academia although she now works as a statistician for the epidemiology unit of the Valencia regional health administration.Most of her research has been devoted to developing and applying disease mapping models to real data, although her work as a statistician in an epidemiology unit makes her develop and apply statistical methods to health data, in general.
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Supply Chain Analytics : An Uncertainty Modeling Approach
This textbook offers a detailed account of analytical models used to solve complex supply chain problems.It introduces a unique risk analysis framework that helps the reader understand the sources of uncertainties and use appropriate models to improve decisions in supply chains.This framework illustrates the complete supply chain for a product and demonstrates the supply chain's exposure to demand, supply, inventory, and financial risks. Step by step, this book provides a detailed examination of analytical methods that optimize operational decisions under different types of uncertainty.It discusses stochastic inventory models, introduces uncertainty modeling methods, and explains methods for managing uncertainty.To help readers deepen their understanding, it includes access to various supplementary material including an online interactive tool in Python. This book is intended for undergraduate and graduate students of supply chain management with a focus on supply chain analytics.It also prepares practitioners to make better decisions in this field.
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Business Process Analytics : Modeling, Simulation and Design
The fourth edition of this widely used textbook offers a new perspective.Previously titled Business Process Modeling, Simulation and Design, as the new title suggests, this book is about analytical business process modeling and design.However, this new edition introduces analytics to the title and to the presentation. The main objective of this book is to provide students with a comprehensive understanding of the multitude of analytical tools that can be used to model, analyse, understand, and ultimately design business processes. The most flexible and powerful of these tools, although not always the most appropriate, is discrete-event simulation.The wide range of approaches covered in this book include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, and analytical queuing methods, as well as data mining. The authors focus on business processes as opposed to just manufacturing processes or general operations management problems and emphasise on simulation modeling using state-of-the-art commercial simulation software. BUSINESS PROCESS ANALYTICS Modeling, Simulation, and Design can be thought of as a hybrid between traditional books on process management, operations management, and simulation.The growing interest in simulation-based tools suggests an understanding of simulation modeling, its potential as well as its limitations for analysing and designing processes, is of key importance to students looking for a future career in operations management. Changes from previous edition. § New Section on data-driven process improvement (with data visualization)§ Added a subsection of control charts to the 6-sigma section§ Replaced business process reengineering with business process management§ Updated all text, figures and examples, and exercises to ExtendSim10 (current version)§ More coverage on design of experiments§ More coverage of machine learning and neural networks
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Atlas of Forecasts : Modeling and Mapping Desirable Futures
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Is modeling clay waterproof?
Modeling clay is not inherently waterproof, as it is typically made from water-based materials such as clay, water, and other additives. However, some modeling clays may become water-resistant or waterproof after they have been baked or cured. It is important to check the specific instructions and properties of the modeling clay you are using to determine its waterproof capabilities. If waterproofing is necessary, a sealant or waterproofing spray can be applied to the finished clay project.
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What is teenage modeling?
Teenage modeling refers to the practice of young individuals, typically between the ages of 13 to 19, modeling clothing, accessories, or other products for various fashion brands, magazines, or advertisements. Teenage models are often scouted for their youthful appearance and ability to appeal to a younger demographic. This type of modeling can provide teenagers with opportunities to gain experience in the fashion industry, build their portfolios, and potentially launch a career in modeling. However, it is important for teenagers involved in modeling to have proper support and guidance to ensure their well-being and safety.
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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