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Record Nr. |
UNINA9910455215503321 |
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Autore |
Gelpi Christopher <1966-> |
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Titolo |
Paying the human costs of war [[electronic resource] ] : American public opinion and casualties in military conflicts / / Christopher Gelpi, Peter D. Feaver, Jason Reifler |
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Pubbl/distr/stampa |
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Princeton, : Princeton University Press, 2009 |
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ISBN |
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1-282-15840-6 |
9786612158407 |
1-4008-3009-5 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (303 p.) |
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Altri autori (Persone) |
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FeaverPeter |
ReiflerJason Aaron <1972-> |
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Disciplina |
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Soggetti |
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War - Public opinion |
Militarism - United States |
Electronic books. |
United States Military policy Public opinion |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [265]-282) and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- Illustrations -- Tables -- Acknowledgments -- Chapter One. Theories of American Attitudes Toward Warfare -- Chapter Two. America's Tolerance For Casualties, 1950-2006 -- Chapter Three. Measuring Individual Attitudes Toward Military Conflict -- Chapter Four. Experimental Evidence on Attitudes Toward Military Conflict -- Chapter Five. Individual Attitudes Toward The Iraq War, 2003-2004 -- Chapter Six. Iraq the Vote: War and the Presidential Election of 2004 -- Chapter Seven. The Sources and Meaning of Success in Iraq -- Chapter Eight. Conclusion -- Bibliography -- Index |
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Sommario/riassunto |
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From the Korean War to the current conflict in Iraq, Paying the Human Costs of War examines the ways in which the American public decides whether to support the use of military force. Contrary to the conventional view, the authors demonstrate that the public does not respond reflexively and solely to the number of casualties in a conflict. Instead, the book argues that the public makes reasoned and |
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reasonable cost-benefit calculations for their continued support of a war based on the justifications for it and the likelihood it will succeed, along with the costs that have been suffered in casualties. Of these factors, the book finds that the most important consideration for the public is the expectation of success. If the public believes that a mission will succeed, the public will support it even if the costs are high. When the public does not expect the mission to succeed, even small costs will cause the withdrawal of support. Providing a wealth of new evidence about American attitudes toward military conflict, Paying the Human Costs of War offers insights into a controversial, timely, and ongoing national discussion. |
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2. |
Record Nr. |
UNINA9910254093203321 |
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Autore |
Fraser Cynthia |
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Titolo |
Business Statistics for Competitive Advantage with Excel 2016 : Basics, Model Building, Simulation and Cases / / by Cynthia Fraser |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XIV, 475 p. 375 illus., 370 illus. in color.) |
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Disciplina |
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Soggetti |
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Statistics |
Management |
Marketing research |
Statistics for Business, Management, Economics, Finance, Insurance |
Market Research/Competitive Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Statistics for Decision Making and Competitive Advantage -- Describing your Data -- Hypothesis Tests, Confidence Intervals to Infer Population Characteristics and Differences -- Simulation to Infer Future Performance Levels Given Assumptions -- Simple Regression for Long Range Forecasts -- Consolidating Multiple Naïve Forecasts with Monte Carlo -- Presenting Statistical Analysis Results to Management -- |
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Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- Association between Two Categorical Variables: Contingency Analysis with Chi Square -- Building Multiple Regression Models -- Indicator Variables -- Model Building and Forecasting with Multicollinear Time Series -- Nonlinear Multiple Regression Models -- Nonlinear Explanatory Multiple Regression Models. |
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Sommario/riassunto |
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The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with shortcuts, and translate results into implications for decision makers. The textbook features new examples and assignments on global markets, including cases featuring Chipotle and Costco. Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios, and managers need to understand how to use statistics to create such advantages. Statistics, from basic to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China, and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. The author emphasizes communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response. · <cutting-edge coverage="" of="" excel="" 2016="" for="" use="" in="" business="" school="" classrooms="" and="" beyond · New real-world examples and assignments on global markets incorporated throughout · Focuses on statistical analysis, model building, simulation, sensitivity analysis, and translation of results to improve business decisions · Covers the full gamut of Excel properties and utilities for Business Statistics, including time-saving shortcuts communicated very clearly with concise tables and screen shots · Statistical Analyses are translated into concise business English applications that are taken from actual business problems Cynthia Fraser received her Ph.D. from The Wharton School, University of Pennsylvania, and is a member of the Marketing faculty at The McIntire School of Commerce, University of Virginia, where she teaches business statistics. Her research has appeared in a number of journals, including Decision Science, Management Science, Journal of Marketing, Journal of Consumer Research, Psychology and Marketing, Journal of International Business Studies, andJournal of Applied Social Psychology. |
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