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Bayesian Cognitive Modeling

RRP $35.00

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Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.


Income Modeling And Balancing

RRP $247.99

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?This book presents a rigorous treatment of the mathematical instruments available for dealing with income distributions, in particular Lorenz curves and related methods. The methods examined allow us to analyze, compare and modify such distributions from an economic and social perspective. Though balanced income distributions are key to peaceful coexistence within and between nations, it is often difficult to identify the right kind of balance needed, because there is an interesting interaction with innovation and economic growth. The issue of justice, as discussed in Thomas Piketty's bestseller "Capital in the Twenty-First Century" or in the important book "The Price of Inequality" by Nobel laureate Joseph Stiglitz, is also touched on. Further, there is a close connection to the issue of democracy in the context of globalization. One highlight of the book is its rigorous treatment of the so-called Atkinson theorem and some extensions, which help to explain under which type of societal utility functions nations tend to operate either in the direction of more balance or less balance. Finally, there are some completely new insights into changing the balance pattern of societies and the kind of coalitions between richer and poorer parts of society to organize political support in democracies in either case.

Oxford University's Sir Tony Atkinson, well known for his so-called Atkinson theorem, writes in his foreword to the book: "[The authors] contribute directly to the recent debates that are going on in politics. [] with this book the foundation of arguments concerning a proper balance in income distribution in the sense of identifying an 'efficient inequality range' has got an additional push from mathematics, which I appreciate very much."


Modeling For Insight

RRP $269.99

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<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> &#8212;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.


The Oxford Handbook Of Strategy Implementation

RRP $314.99

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Good strategies can fail because they are poorly implemented. Behind this straightforward statement is a complex reality. This innovative volume explores various aspects of strategy implementation, a process that is as challenging as it is important.

For strategies to be implemented effectively, firms must have the right resources and capabilities available. Available resources must be integrated in ways that create the capabilities needed and then those capabilities must be leveraged to effectively implement the strategy in order to create and sustain a competitive advantage.
This handbook focuses on how strategy implementation is influenced by resources and governance, human capital and management of it, and accounting-based control systems. It examines how the dynamic, competitive, and international environment increases the importance of knowledge and its acquisition, effective governance as a signal of proper incentives, the interaction of legality and legitimacy, and the connections between compliance and enforcement.

Because people implement the strategies through the completion of their job tasks and achievement of their job-related goals, the second section explores how changes in workforce demographics have influenced and may influence strategy. Major factors include the greater proportion of older workers and the increasing role women play in leadership. Acquiring, developing, and having a motivated work force is critical to implementation, whether and how best practices spread is explored, as is the effectiveness of setting goals.

Controlling managerial behavior plays a critical role in the implementation of strategies, and is the focus of the third section on accounting-based control systems. These can be helpful both in identifying inappropriate behaviors and in promoting positive managerial actions to achieve desired financial outcomes. They can also encourage experimentation and creativity. The effectiveness of accounting and accountability systems is influenced by four dimensions, including the intended users, standards of compliance, enforcement criteria, and the assurance process.


Modeling Ordered Choices

RRP $386.99

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It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.

"An outstanding and timely resource on ordered-response choice modeling that takes readers through the history of such models, and develops a clear taxonomy to position the many generalizations and variants of the standard ordered-response model. Bill Greene and David Hensher have done a masterful job in navigating through, and weaving together, the maze of developments and applications in a diversity of fields. The objective perspectives of the literature provide rich guidance for both the researcher as well as the practitioner. This book is literally a one-stop reference resource on ordered-choice modeling that is at once comprehensive, lucid, insightful, and accessible. A `must-have' on the bookshelves of anyone wanting to learn about and apply ordered-choice modeling techniques!" Chandra Bhat, Adan Abou-Ayyash Centennial Professor in Transportation Engineering, University of Texas at Austin

"Theorists and practicing researchers will want to have this text in their working library. It is very well researched, employing examples and interpretation for ordered choice models ranging from the basic to the newest state-of-art methods. I highly recommend this text without reservations." Joseph M. Hilbe, Adjunct Professor of Statistics, Arizona State University



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