Products related to Modeling:
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Financial Modeling
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Multilevel Modeling
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data.Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques.Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results.A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
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Cognitive Choice Modeling
Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity.Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists.In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R.Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior.Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.
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Stochastic Volatility Modeling
Packed with insights, Lorenzo Bergomi’s Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including: Which trading issues do we tackle with stochastic volatility?How do we design models and assess their relevance? How do we tell which models are usable and when does calibration make sense?This manual covers the practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility.In the course of this exploration, the author, Risk’s 2009 Quant of the Year and a leading contributor to volatility modeling, draws on his experience as head quant in Société Générale’s equity derivatives division.Clear and straightforward, the book takes readers through various modeling challenges, all originating in actual trading/hedging issues, with a focus on the practical consequences of modeling choices.
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Is this modeling inquiry legitimate?
To determine if the modeling inquiry is legitimate, it's important to consider the following factors: 1. Research the modeling agency or individual reaching out to you. Look for reviews, ratings, and any history of scams or fraudulent activities. 2. Verify the legitimacy of the job offer by asking for details such as the location of the shoot, the client's name, and the compensation package. 3. Be cautious of any requests for upfront fees or personal information. Legitimate modeling opportunities typically do not require payment or sensitive information upfront. By carefully evaluating these factors, you can make an informed decision about the legitimacy of the modeling inquiry.
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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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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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Modeling Monetary Economies
Thoroughly updated and expanded with a new chapter on blockchain and increased coverage of cryptocurrency, as well as new data, this established advanced undergraduate textbook approaches the subject via first principles.It builds on a simple, clear monetary model and applies this framework consistently to a variety of monetary questions.Starting with trade being mutually beneficial, the authors demonstrate that money makes people better off, and that government money competes against other means of payments, including other types of government payments.After developing each of these topics, the book tackles the issue of money competing against other stores of value, examining issues associated with trade, finance, and modern banking.From simple economies to modern economies, the authors address the role banks play in making more trade possible, concluding with the information problems plaguing modern banking.
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Battery System Modeling
Battery System Modeling provides advances on the modeling of lithium-ion batteries.Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies.Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided.Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter.Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.
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Thermal Protection Modeling
Thermal Protection Modeling presents the fundamental knowledge, applications, and methods of heat transfer augmentation techniques for current and future thermal protection systems.This book covers common challenges and their most appropriate solutions, presenting boundary conditions for the simulations of heat transfer and design of combined and active thermal protection.Important application aspects of heat transfer augmentation techniques in a single-phase system are compared in a practical way with a strong modeling approach.This book will provide a strong understanding of the current and future state of thermal protection systems and assist the reader in their own problem solving and modeling approaches.
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Deep Generative Modeling
This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning.Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning.The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world.It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order.The adjective "deep" comes from the fact that the distribution is parameterized using deep neural networks.There are two distinct traits of deep generative modeling.First, the application of deep neural networks allows rich and flexible parameterization of distributions.Second, the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning.Moreover, probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions. Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics in machine learning, deep learning, and programming in Python and PyTorch (or other deep learning libraries).It will appeal to students and researchers from a variety of backgrounds, including computer science, engineering, data science, physics, and bioinformatics, who wish to become familiar with deep generative modeling.To engage the reader, the book introduces fundamental concepts with specific examples and code snippets.The full code accompanying the book is available on github. The ultimate aim of the book is to outline the most important techniques in deep generative modeling and, eventually, enable readers to formulate new models and implement them.
Price: 59.99 £ | Shipping*: 0.00 £
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Is the modeling agency reputable?
It is difficult to determine the reputation of the modeling agency without more specific information. Factors to consider when evaluating the reputation of a modeling agency include their track record of successful placements, the treatment of their models, and any reviews or feedback from previous clients and models. It is important to conduct thorough research and possibly seek out personal recommendations before making a decision about working with a modeling agency.
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How difficult is 3D modeling?
3D modeling can be challenging for beginners due to the technical skills and software knowledge required. It involves understanding complex tools and techniques to create realistic and detailed 3D models. However, with practice, dedication, and patience, individuals can improve their skills and create impressive 3D models. There are also various resources available online, such as tutorials and courses, to help individuals learn and master 3D modeling.
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When should one start modeling?
One should start modeling when they are physically and mentally prepared for the demands of the industry. This typically means being at least 16 years old, as most agencies require models to be at least this age. It is also important to have a strong sense of self-confidence and a healthy body image before pursuing a career in modeling. Ultimately, the right time to start modeling will vary for each individual based on their personal readiness and goals.
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What is a toenail modeling?
Toenail modeling is a type of nail art that involves creating intricate designs and patterns on the toenails using nail polish, nail art tools, and sometimes even small embellishments like rhinestones or stickers. It is a popular way to add a unique and creative touch to your pedicure, allowing you to express your personal style and creativity through your nail art. Toenail modeling can range from simple designs like stripes or polka dots to more elaborate and detailed designs like floral patterns or geometric shapes.
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