LEADER 05180nam 2200697Ia 450 001 996207185403316 005 20200520144314.0 010 $a0-19-152221-X 010 $a9786611970680 010 $a1-281-97068-9 010 $a0-19-829422-0 035 $a(CKB)2560000000293823 035 $a(EBL)3052782 035 $a(OCoLC)191827400 035 $a(SSID)ssj0000079248 035 $a(PQKBManifestationID)11126496 035 $a(PQKBTitleCode)TC0000079248 035 $a(PQKBWorkID)10067386 035 $a(PQKB)11646320 035 $a(StDuBDS)EDZ0000074072 035 $a(MiAaPQ)EBC3052782 035 $a(Au-PeEL)EBL3052782 035 $a(CaPaEBR)ebr10273138 035 $a(CaONFJC)MIL197068 035 $a(EXLCZ)992560000000293823 100 $a19990216d1999 uy 0 101 0 $aeng 135 $auruz|---auuu| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA theory of employment systems$b[electronic resource] $emicro-foundations of societal diversity /$fDavid Marsden 210 $aOxford ;$aNew York $cOxford University Press$d1999 215 $a1 online resource (315 pages) 300 $aDescription based upon print version of record. 311 $a0-19-829423-9 311 $a0-19-159661-2 320 $aIncludes bibliographical references (p. [274]-290) and index. 327 $aContents; List of Figures; List of Tables; Part I: A Theory of Employment Systems; 1. The Employment Relationship; Employment Systems; Incompleteness of the Employment Contract; Defining the 'Acceptable Set' of Tasks; Use of Classification Criteria to Assign Tasks to Jobs; The Function of Job Classification Systems; Two Potential Objections to the Argument; Insights from the Historical Rise of the Employment Relationship; Conclusion; 2. The Limits of Managerial Authority; Introduction; Transaction Rules and the Employment Relation; Examples of Each Type of Task Allocation Rule 327 $aHow each Rule Deals with Different Kinds of OpportunismConclusion; 3. Diffusion and Predominance of Employment Rules; Introduction; Task Allocation Rules as Partial 'Evolutionarily Stable Strategies'; Predominance of Individual Transaction Rules; The Need for Inter-firm Institutions; Conclusion: Evolutionarily Stable Strategies and Labour Institutions; 4. Classification Rules and the Consolidation of Employment Systems; Introduction; A Theory of Job Classification; Some Lessons from Occupational Classifications used in Earnings Statistics; Labour Market Conventions and Job Classifications 327 $aSome Comparative Evidence on Classifications and their DiffusionThe Role of Institutions in Diffusing Classification Rules; Employment Systems: Integrating Transaction Rules and Inter-firm Institutions; Part II: Evidence and Personnel Management Implications; 5. Societal Diversity of Employment Systems: Comparative Evidence; Some Evidence of Inter-country Differences in Employment Systems; Production Versus Training Approach: Key Indicators; Task-oriented versus Function-oriented Approach: Key Indicators; Diffusion of Main Employment Systems; Conclusion; 6. Performance Management 327 $aIntroductionThe Inherent Difficulties of Performance Measurement; Mutual Distrust and Performance Management; Some Conventionally Used Performance Criteria; How the Contractual Constraints Shape Performance Criteria; Moral Hazard, Transaction Rules and Performance Criteria; Conclusion: Societal Influences on Performance Criteria; Appendix 1 Some Examples of Criteria Used in Performance Appraisal; Appendix 2 Transaction Rules and Performance Standards; 7. Pay and Incentives; A Theory of Pay and Classifications; Price as a Rule and 'Rate for the Job' 327 $aRate-for-the-Job Classification and Pay for PerformanceHierarchical versus Occupational Classifications and Pay Structures; Conclusion; 8. Skills and Labour Market Structure; Introduction; Effects of the Production and Training Approaches on Labour Market Structure; Approaches to Enforceability and Functional Flexibility; Institutionalization of Transaction rules by OLMs and ILMs; Monopsony and Secondary Labour Markets; Employment and Self-employment; Conclusions; Part III: Conclusions; 9. Employment Systems and the Theory of the Firm: Societal Diversity; Introduction 327 $aTransaction Costs, Opportunism and Knowledge 330 8 $aThis text examines why there are such international differences in the way employment relations are organized within the firm. It aims to explain why firms and workers should use employment relationship as the basis for their economic co-operation. 606 $aJob analysis 606 $aOccupations$vClassification 606 $aDiversity in the workplace 608 $aElectronic books. 615 0$aJob analysis. 615 0$aOccupations 615 0$aDiversity in the workplace. 676 $a658.3/06 700 $aMarsden$b David$0122116 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996207185403316 996 $aA theory of employment systems$92183564 997 $aUNISA LEADER 03774nam 22006615 450 001 9910299775603321 005 20200704120952.0 010 $a3-319-16065-6 024 7 $a10.1007/978-3-319-16065-8 035 $a(CKB)3710000000434400 035 $a(EBL)2096172 035 $a(SSID)ssj0001524817 035 $a(PQKBManifestationID)11869177 035 $a(PQKBTitleCode)TC0001524817 035 $a(PQKBWorkID)11484924 035 $a(PQKB)10067254 035 $a(DE-He213)978-3-319-16065-8 035 $a(MiAaPQ)EBC2096172 035 $a(PPN)186399030 035 $a(EXLCZ)993710000000434400 100 $a20150620d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBranching Process Models of Cancer /$fby Richard Durrett 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (73 p.) 225 1 $aStochastics in Biological Systems,$x2364-2297 ;$v1.1 300 $aDescription based upon print version of record. 311 $a3-319-16064-8 320 $aIncludes bibliographical references. 327 $aMultistage Theory of Cancer -- Mathematical Overview -- Branching Process Results -- Time for Z_0 to Reach Size M -- Time Until the First Type 1 -- Mutation Before Detection? -- Accumulation of Neutral Mutations -- Properties of the Gamma Function -- Growth of Z_1(t) -- Movements of Z_1(t) -- Luria-Delbruck Distributions -- Number of Type 1's at Time T_M -- Gwoth of Z_k(t) -- Transitions Between Waves -- Time to the First Type \tau_k, k \ge 2 -- Application: Metastasis -- Application: Ovarian Cancer -- Application: Intratumor Heterogeneity. 330 $aThis volume develops results on continuous time branching processes and applies them to study rate of tumor growth, extending classic work on the Luria-Delbruck distribution. As a consequence, the authors calculate the probability that mutations that confer resistance to treatment are present at detection and quantify the extent of tumor heterogeneity. As applications, the authors evaluate ovarian cancer screening strategies and give rigorous proofs for results of Heano and Michor concerning tumor metastasis. These notes should be accessible to students who are familiar with Poisson processes and continuous time. Richard Durrett is mathematics professor at Duke University, USA. He is the author of 8 books, over 200 journal articles, and has supervised more than 40 Ph.D. students. Most of his current research concerns the applications of probability to biology: ecology, genetics, and most recently cancer. 410 0$aStochastics in Biological Systems,$x2364-2297 ;$v1.1 606 $aProbabilities 606 $aBiomathematics 606 $aCancer$xResearch 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aCancer Research$3https://scigraph.springernature.com/ontologies/product-market-codes/B11001 615 0$aProbabilities. 615 0$aBiomathematics. 615 0$aCancer$xResearch. 615 14$aProbability Theory and Stochastic Processes. 615 24$aMathematical and Computational Biology. 615 24$aCancer Research. 676 $a614.5999 700 $aDurrett$b Richard$4aut$4http://id.loc.gov/vocabulary/relators/aut$055577 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299775603321 996 $aBranching process models of cancer$91522586 997 $aUNINA