LEADER 05523nam 2200805Ia 450 001 9910968288603321 005 20200520144314.0 010 $a9786611752118 010 $a9781281752116 010 $a1281752118 010 $a9780470383094 010 $a0470383097 035 $a(CKB)1000000000539664 035 $a(EBL)353352 035 $a(OCoLC)608623182 035 $a(SSID)ssj0000162617 035 $a(PQKBManifestationID)11153554 035 $a(PQKBTitleCode)TC0000162617 035 $a(PQKBWorkID)10201323 035 $a(PQKB)11580332 035 $a(MiAaPQ)EBC353352 035 $a(Au-PeEL)EBL353352 035 $a(CaPaEBR)ebr10250297 035 $a(CaONFJC)MIL175211 035 $a(OCoLC)223370077 035 $a(FINmELB)ELB178459 035 $a(Perlego)2768659 035 $a(EXLCZ)991000000000539664 100 $a20080410d2008 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGetting it right $eNotre Dame on leadership and judgment in business /$fViva Ona Bartkus and Ed Conlon 205 $a1st ed. 210 $aSan Francisco, CA $cJossey-Bass$dc2008 215 $a1 online resource (303 p.) 225 1 $aJ-B US non-Franchise Leadership ;$vv.228 300 $aDescription based upon print version of record. 311 08$a9780470245880 311 08$a0470245883 320 $aIncludes bibliographical references and index. 327 $aGetting It Right: Notre Dame on Leadership and Judgment in Business; Contents; Acknowledgments; Introduction: SOLVE THE PROBLEM; Back from the Brink: A Cautionary Tale; Problem Solving-An Underrated Leadership Skill; The Misunderstood Role of Values in Problem Solving; To Be a Successful Executive, Make Values-Based Problem Solving a Habit of Mind; How to Use This Book; Our Signs of Success; Part I: DISCOVERING SOLUTIONS; Chapter 1: STARTING FROM VALUES; A Tale of Values Conflicts; Values and Problem-Solving Efforts; Articulating Your Own Bedrock Values; Organizational Commitment to Norms 327 $aResolving Inevitable Conflicts Bill's Decision and Lessons for the General Manager; Integrity in Problem Solving; Chapter 2: WHAT REALLY IS THE PROBLEM HERE?; Starting to Diagnose the Problem; Our Iterative, Hypothesis-Driven Approach; Problem-Solving Step 1: Defining the Problem and Generating a Hypothesis of the Solution; Problem-Solving Step 2: Disaggregating the Problem into Issues; Problem-Solving Step 3: A Detailed Work Plan; For Problem Solvers Working Solo; In Short, More Erasers Than Pencils; Chapter 3: PRIORITIES; Prioritization in Action; Setting Aspirations 327 $aCriteria for Prioritization A Disciplined Managerial Habit; Chapter 4: ONE PERCENT INSPIRATION; The Electric Town Case and Creativity; Why Creativity Is Hard; Creativity from Conscious Planning; The General Manager's Challenge; Chapter 5: NINETY-NINE PERCENT PERSPIRATION; Discovering Pragmatic Solutions; Delta versus Omega for the AMCC Contract; Where Sweat Really Pays; Chapter 6: HOW TO TELL THE STORY; Storylines: How to Write Them; Storylines: With Whom to Communicate Them; Storylines: How to Communicate Them; Stories, Discernment, and Better Decisions 327 $aPart II: MOVING FROM ANALYSIS TO ACTION Chapter 7: THE BUSINESS CASE; The Call to Arms; Dark Days in Capri; The Business Case-A Tool for Pressure-Testing Solutions; Five Steps to a Business Case; From Business Case to Decision: Failure at Capri?; A Tool and a Caution; Chapter 8: WHEN GOOD ENOUGH IS BOTH; To Buy or Not to Buy?; Intelligent Trade-offs Between Analysis and Action; FPE and the Green Bay Sorter; Yes, But How Do I Really Know?; Persevering Through the "Wallow Curve," and Other Advice; Part III: DRIVING THE SOLUTION THROUGH THE ORGANIZATION 327 $aChapter 9: FRAILTY, FORTITUDE, AND A LEADER'S COMMITMENT Moving from Problem Analyst to True Problem Solver; Assessing a Leader's Commitment to a Proposed Solution; The Challenge of Change at MedTech; Risk, Frailty, and Empathy; Chapter 10: BULLDOZE THE BARRIERS; Submariners Under Attack; Major Barriers to Implementation of Solutions; The Barriers at Global GasCo's East Coast Operations; Overcoming Resistance from All Sides; Be Prepared to Slog; Chapter 11: THE TOILS OF SISYPHUS; Back at Capri; Driving Implementations of New Solutions; Implementation Lessons at Capri; The Cost of Change 327 $aConclusion 330 $aTo be a successful business leader, executives need to make values-based problem solving a habit of mind, argue management experts and Notre Dame professors Viva Bartkus and Ed Conlon. In Getting It Right, Bartkus and Conlon draw on insights from consulting, management, and academia to deliver a powerful message: no matter how chaotic the marketplace, leaders can still address even the most staggering challenges in a calm and confident manner. 410 0$aJ-B US non-Franchise Leadership 606 $aLeadership 606 $aProblem solving 606 $aDecision making 615 0$aLeadership. 615 0$aProblem solving. 615 0$aDecision making. 676 $a658.4 676 $a658.4/092 676 $a658.4092 686 $a85.08$2bcl 700 $aBartkus$b Viva Ona$01813260 701 $aConlon$b E. 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Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics. 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aAlgorithms 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aStatistics and Computing 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aAlgorithms 606 $aMathematical and Computational Engineering Applications 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 0$aAlgorithms. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 14$aStatistics and Computing. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aAlgorithms. 615 24$aMathematical and Computational Engineering Applications. 676 $a621.3822 700 $aNandi$b Swagata$4aut$4http://id.loc.gov/vocabulary/relators/aut$0922650 702 $aKundu$b Debasis$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863117203321 996 $aStatistical Signal Processing$94165769 997 $aUNINA