This book scrutinizes the efficiency of the statist model of "Big Government". The authors develop policy prescriptions based on Sharia rules of laissez-faire economics and perfect competition within labour and capital markets. Chapters argue that economic conditions have become increasingly unmanageable in both advanced and developing countries where "Big Government" has become a stumbling block to private enterprise. The discussion explores the idea that the elimination of interest-based debt could result in fully balanced budgets, steady external trade, risk-sharing banking, stable capital markets, and deflation. The authors propose Sharia-based policy regimes for discussion and adoption, and suggest that reforms to government size, together with the liberalisation of labour and capital markets, may present a successful and sustainable alternative mode of government.Â
<b>Praise for <i>Modeling for Insight</i></b> <p> "Most books on modeling are either too theoretical or too focused on the mechanics of programming. Powell and Batt's emphasis on using simple spreadsheet models to gain business insight (which is, after all, the name of the game) is what makes this book stand head and shoulders above the rest. This clear and practical book deserves a place on the shelf of every business analyst."<br> —Jonathan Koomey, PhD, Lawrence Berkeley National Laboratory and Stanford University, author of <i>Turning Numbers into Knowledge: Mastering the Art of Problem Solving</i> <p> Most business analysts are familiar with using spreadsheets to organize data and build routine models. However, analysts often struggle when faced with examining new and ill-structured problems. <i>Modeling for Insight</i> is a one-of-a-kind guide to building effective spreadsheet models and using them to generate insights. With its hands-on approach, this book provides readers with an effective modeling process and specific modeling tools to become a master modeler. <p> The authors provide a structured approach to problem-solving using four main steps: frame the problem, diagram the problem, build a model, and generate insights. Extensive examples, graduated in difficulty, help readers to internalize this modeling process, while also demonstrating the application of important modeling tools, including: <ul> <li> <p> Influence diagrams <li> <p> Spreadsheet engineering <li> <p> Parameterization <li> <p> Sensitivity analysis <li> <p> Strategy analysis <li> <p> Iterative modeling </ul> <p> The real-world examples found in the book are drawn from a wide range of fields such as financial planning, insurance, pharmaceuticals, advertising, and manufacturing. Each chapter concludes with a discussion on how to use the insights drawn from these models to create an effective business presentation. Microsoft Office Excel and PowerPoint are used throughout the book, along with the add-ins Premium Solver, Crystal Ball, and Sensitivity Toolkit. Detailed appendices guide readers through the use of these software packages, and the spreadsheet models discussed in the book are available to download via the book's related Web site. <i>Modeling for Insight</i> is an ideal book for courses in engineering, operations research, and management science at the upper-undergraduate and graduate levels. It is also a valuable resource for consultants and business analysts who often use spreadsheets to better understand complex problems.
This piece of work began life as a doctoral thesis written at the University of Texas between 1976 and 1978. Now after a year in Dublin it is to become a book. Of the many people in the Department of Linguistics at Texas who shaped my interests and who helped me through the writing of the thesis, I must single out Lee Baker, Lauri Karttunen, Bill Ladusaw, Sue Schmerling and Stanley Peters for special gratitude. All of them have provided specific suggestions which have improved this work, but perhaps more .importantly they provided a uniquely stimulating and harmonious environment in which to work, and a demanding set of professional standards to live up to. To Ken Hale lowe a particular debt of gratitude - for two years of encour- agement and suggestions, and particularly for a set of detailed comments on an earlier version of the book which led to many changes for the better. I also thank my friends Per-Kristian Halvorsen and Elisabet Engdahl, both of whom took the trouble to provide me with detailed criticisms and comments. In Dublin I am grateful to the School of Celtic Studies of the Institute for Advanced Studies for giving me the opportunity of teaching a seminar on many of the topics covered in the book and of exposing the material to people whose knowledge of the language is unequalled. Donal 6 Baoill and Liam Breatnach have been particularly helpful.
Stop being a freelance writing jellyfish. Ryan Biddulph explains how he built a professional freelance writing business while Blogging from Paradise. From tips for developing posture to charging full time income earning rates to accepting only the best matches, Ryan delves into practical tips and strategies for growing a thriving venture from the comfort of your home. If you're excited to put your writing skills to work or if you're toying with the idea of starting a freelance writing gig this eBook will help you start your business intelligently. Ryan Biddulph is an Amazon Best Selling Author, blogger and world traveler. His Blogging from Paradise books have been endorsed by New York Times Best Selling Author Chris Brogan, Tom Joyner Show Producer and O Network Ambassador Nikki Woods and Million Dollar Business Builders Yaro Starak and Ande Lyons.
The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms.
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