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[null,"1.","Record Nr.",null,"UNINA9910633952203321"]
[null,null,"Autore",null,"Yang Yang <1975, >"]
[null,null,"Titolo",null,"Age-period-cohort analysis : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, Fla. : , : CRC Press, , 2013"]
[null,null,"ISBN",null,"1-000-21873-2"]
[{"$nulls":4},"0-429-09620-8"]
[{"$nulls":4},"1-4665-0753-5"]
[{"$nulls":4},"9781466507524"]
[{"$nulls":4},"9781466507531"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (339 p.)"]
[null,null,"Collana",null,"Chapman & Hall/CRC interdisciplinary statistics series"]
[null,null,"Disciplina",null,"001.42/2"]
[{"$nulls":4},"001.422"]
[{"$nulls":4},"300.727"]
[null,null,"Soggetti",null,"Cohort analysis"]
[{"$nulls":4},"Age groups - Statistical methods"]
[{"$nulls":4},"statistical method"]
[{"$nulls":4},"distribution by age"]
[{"$nulls":4},"sociology"]
[{"$nulls":4},"data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","A Chapman & Hall book."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion."]
[null,null,null,"Sommario/riassunto","Age-Period-Cohort Analysis: New Models, Methods, and Empirical "]
[{"$nulls":4},"Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables d"]
[null,"2.","Record Nr.",null,"UNINA9910821695403321"]
[null,null,"Autore",null,"Harchol-Balter Mor <1966->"]
[null,null,"Titolo",null,"Performance modeling and design of computer systems : queueing theory in action / / Mor Harchol-Balter, Carnegie Mellon University, Pennsylvania [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge : , : Cambridge University Press, , 2013"]
[null,null,"ISBN",null,"1-107-23684-3"]
[{"$nulls":4},"1-107-25475-2"]
[{"$nulls":4},"1-139-61641-2"]
[{"$nulls":4},"1-139-62571-3"]
[{"$nulls":4},"1-139-61269-7"]
[{"$nulls":4},"1-139-22642-8"]
[null,null,"Descrizione fisica",null,"1 online resource (xxiii, 548 pages) : digital, PDF file(s)"]
[null,null,"Classificazione",null,"COM000000"]
[null,null,"Disciplina",null,"519.8/2"]
[null,null,"Soggetti",null,"Transaction systems (Computer systems) - Mathematical models"]
[{"$nulls":4},"Computer systems - Design and construction - Mathematics"]
[{"$nulls":4},"Queuing theory"]
[{"$nulls":4},"Queuing networks (Data transmission)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from publisher's bibliographic system (viewed on 05 Oct 2015)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Machine generated contents note: Part I. Introduction to Queueing: 1. Motivating examples; 2. Queueing theory terminology; Part II. Necessary Probability Background: 3. Probability review; 4. Generating random variables; 5. Sample paths, convergence, and averages; Part III. The Predictive Power of Simple Operational Laws: 'What If' Questions and Answers; 6. Operational laws; 7. Modification analysis; Part IV. From Markov Chains to Simple Queues: 8. Discrete-time Markov Chains; 9. Ergodicity theory; 10. Real-world examples: Google, Aloha; 11. Generating functions for Markov Chains; 12. Exponential distributions and Poisson Process; 13. Transition to continuous-time Markov Chains; 14. M/M/1 and PASTA; Part V. Server Farms and Networks: Multi-server, Multi-queue Systems: 15. Server farms: M/M/k and M/M/k/k; 16. Capacity provisioning for server farms; 17. Time-reversibility and Burke's Theorem; 18. Jackson network of queues; 19. Classed network of queues; 20. Closed networks of queues; Part VI. Real-World Workloads: High-Variability and Heavy Tails: 21. Tales of "]
[{"$nulls":4},"tails: real-world workloads; 22. Phase-type workloads and matrix-analytic; 23. Networks of time-sharing (PS) servers; 24. M/G/I queue and inspection paradox; 25. Task assignment for server farms; 26. Transform analysis; 27. M/G/I transform analysis; 28. Power optimization application; Part VII. Smart Scheduling: 29. Performance metrics; 30. Non-preemptive, non-size-based policies; 31. Preemptive, non-size-based policies; 32. Non-preemptive, size-based policies; 33. Preemptive, size-based policies; 34. Scheduling: SRPT and fairness."]
[null,null,null,"Sommario/riassunto","Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and is full of examples from computer systems, as well as manufacturing and operations research. Fun and readable, the book is highly approachable, even for undergraduates, while still being thoroughly rigorous and also covering a much wider span of topics than many queueing books. Readers benefit from a lively mix of motivation and intuition, with illustrations, examples and more than 300 exercises - all while acquiring the skills needed to model, analyze and design large-scale systems with good performance and low cost. The exercises are an important feature, teaching research-level counterintuitive lessons in the design of computer systems. The goal is to train readers not only to customize existing analyses but also to invent their own."]