Suchergebnisse

I: Expectations -- 1. Optimal Stabilisation Policies under Perfect Foresight -- 2. Towards the Resurrection of Macroeconomic Policies -- 3. Optimal Feedback and Feedforward Stabilisation of Exchange Rates, Money, Prices and Output -- II: Uncertainty -- 4. Adaptive Econometric Forecasting using an Approximate Filtering-Smoothing Algorithm: the Case of the Israeli Meat Sector -- 5. Controlling an Econometric Model using Different Coefficient Sets -- 6. The Uncertainty Frontier as a Global Approach to the Efficient Stabilisation of Economic Systems: Experiments with the MICRO-DMS Model -- III: Policy Analysis and Decision Models -- 7. Incomes Policy in a Political Business Cycle Environment: a Structural Model for the UK 1961–1980 -- 8. Multiperiod Prediction for Dynamic Models with Autocorrelated Errors Conditional on Feedback Rules for Future Policy Variables -- 9. The Evaluation of Historical Policy via Optimal Control Techniques -- IV: Market Management -- 10. Endogenous vs. Exogenous Targets for Commodity Market Stabilisation -- 11. Simple and Optimal Control Rules for Stabilising Speculative Commodity Markets -- V: Decentralisation and Multi-Sector Planning -- 12. Behavioural Assumptions in Decentralised Stabilisation Policies -- 13. Stability Analysis of Large Scale Economic Systems which have a Multi-time Scale -- 14. The Location of a Firm on a Network -- Epilogue -- 15. Style in Multisectoral Modelling.

Conjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments.

Understanding how leaders make foreign policy and national security decisions is of paramount importance for the policy community and academia. This book explores how leaders such as Trump, Obama, Netanyahu and others make decisions using the Applied Decision Analysis (ADA) method.

On the "influence of scenarios to priorities" in risk and security programs / Heimir Thorisson, James H. Lambert -- Survey of risk analytic guidelines across the government / Isaac Maya, Lily Doyle, Amelia Liu, Francine Tran, Robert Creighton, Charles Woo -- An overview of risk modeling methods and approaches for national security / Samrat Chatterjee, Robert T. Brigantic, Angela M. Waterworth -- Comparative risk rankings in support of homeland security strategic plans / Russell Lundberg -- A data science workflow for discovering spatial patterns among terrorist attacks and infrastructure / Daniel Fortin, Thomas Johansen, Samrat Chatterjee, George Muller, Christine Noonan -- Effects of credibility of retaliation threats in deterring smuggling of nuclear weapons / Xiaojun Shan, Jun Zhuang -- Disutility of mass relocation after a severe nuclear accident / Vicki M. Bier, Shuji Liu -- Scheduling federal air marshals under uncertainty / Keith W. DeGregory, Rajesh Ganesan -- Decision theory for network security : active sensing for detection and prevention of data exfiltration / Sara M. McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhatha -- Measurement of cyber resilience from an economic perspective / Adam Z. Rose, Noah Miller -- Responses to cyber near-misses : a scale to measure individual differences / Jinshu Cui, Heather Rosoff, Richard S. John -- An interactive web-based decision support system for mass dispensing, emergency preparedness, and biosurveillance / Eva K. Lee, Ferdinand H. Pietz, Chien-Hung Chen, Yifan Liu -- Critical infrastructure risk assessments : measuring critical infrastructure protection and resilience in an all-hazards environment / Julia Phillips, Frédéric Petit -- Risk analysis methods in resilience modeling : an overview of critical infrastructure applications / Hiba Baroud -- Optimal resource allocation model to prevent, prepare, and respond to multiple disruptions, with application to the Deepwater Horizon oil spill and Hurricane Katrina / Cameron A. MacKenzie, Amro Al-Kazimi -- Inoperability input-output modeling of electric power disruptions / Joost R. Santos, Sheree Ann Pagsuyoin, Christian Yip -- Quantitative assessment of transportation network vulnerability with dynamic traffic simulation methods / Venkateswaran Shekar, Lance Fiondella -- Infrastructure monitoring for health and security / Prodyot K. Basu -- Exploring metaheuristic approaches for solving the traveling salesman problem applied to emergency planning and response / Ramakrishna Tipireddy, Javier Rubio-Herrero, Samrat Chatterjee, Satish Chikkagoudar, George Muller.

"This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups - i.e., transcripts. The book is primarily designed for research studies with an applied focus, but is also useful for theoretically oriented qualitative research. The book covers all aspects of the qualitative data analysis process including planning, data preparation, identification of themes, codebook development and code application, reliability and inter-coder agreement, data reduction techniques, comparative techniques, integration with quantitative data, and software considerations. The book describes what the authors call "applied thematic analysis", because it is the approach predominantly used in applied qualitative studies (and increasingly in academic contexts). The method employs a phenomenological approach to data analysis which has a primary aim of describing the experiences and perceptions of research participants. The approach presented is similar to Grounded Theory - in that it is inductive, content-driven, and searches for themes within textual data - and is complementary to Grounded Theory on many levels. However, within an applied context a phenomenological approach is primarily concerned with characterizing and summarizing perceptions and lived experiences and applying the results to a particular research problem, rather than building and assessing theoretical models."--