Whilst recovering from a canoeing accident in the South of France, and with a promising professional swimming career in tatters, 16 year-old Marion sees an advert that will change her life: Icon models are holding a contest. She enters, gets whipped into shape by militant stylists, cross-dressing walking experts and chain-smoking make-up artists and manages to win a modelling contract. But when she arrives in Paris to begin modelling, her glamorous ideas are quickly dispelled. She becomes indebted to the agency and struggles to get her first break. Based on true events, A Model Life follows Marion's career as she climbs up the modelling food-chain, from dealing with pervy photographers in Paris to trudging through snow to castings in New York, from Armani to Playboy Marion has seen it all. This book is a must for anyone who wants to know what modelling is really like... The real Marion has enjoyed an international modelling career for over 15 years, including haute couture shows, designer campaigns and TV commercial work.
"I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." ? David Brode of The Brode Group
A practical guide to understanding and implementing financial simulation modeling
As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors.
Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner.
Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.
Engineering Computations and Modeling in MATLAB(R)/Simulink(R) provides a broad overview of The MathWorks' MATLAB(R)/Simulink(R)/GUIDE development and modeling environment. This textbook shows how to use these software tools effectively in a variety of engineering applications, including modeling real-world dynamic systems. Concepts Discussed: Major concepts of MATLAB(R), Symbolic Math ToolboxA', Simulink(R), and GUIDE * Development of effective foolproof M-file scripts and functions * Use of the 2D and 3D plotting functions and handle graphics * Creation of interactive user interfaces and animations * Presentation of numerical methods, coded in MATLAB(R) functions * Accuracy of digital computations Special Features: * Numerous examples * Derivation of fundamental formulas using symbolic math computations * Dynamic systems modeling in MATLAB(R) and Simulink(R) * Development of user-friendly standalone GUIs * Introduction of aerospace engineering tools This book is used as a textbook by undergraduate and graduate students taking introductory and advanced courses in applied programming, and also as a reference for working professionals using MATLAB(R)/Simulink(R).
This handy booklet helps the reader understand that there's more to writing than words on a page or text on a computer screen. So many people write so much these days that most folks can't imagine what a large company with lots of writers, a medium-sized professional organization, or a small business owner could possibly gain by outsourcing their writing. With inventive images and punchy paragraphs, '10 Reasons to Hire a Professional WRITER' explains the benefits of and makes 10 convincing arguments for hiring a savvy career writer.
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural equation models, and exploratory factor analysis. In addition, it contains new material on composite reliability, models with categorical data, the minimum average partial procedure, bi-factor models, and communicating about latent variable models. The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter's examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book's examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R. An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.
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