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[null,"1.","Record Nr.",null,"UNINA990010102910403321"]
[null,null,"Titolo",null,"Il nuovo diritto dei contratti pubblici : commento organico al D.Lgs. 18 aprile 2016, n. 50 / opera diretta da Francesco Caringella, Pierluigi Mantini, Marco Giustiniani"]
[null,null,"Pubbl/distr/stampa",null,"Roma : Dike, 2016"]
[null,null,"ISBN",null,"978-8858205723"]
[null,null,"Descrizione fisica",null,"XX, 1052 p. ; 24 cm"]
[null,null,"Disciplina",null,"352.5"]
[null,null,"Locazione",null,"DECBC"]
[null,null,"Collocazione",null,"GRDDAMM34A"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910484113903321"]
[null,null,"Autore",null,"Jorges Sven"]
[null,null,"Titolo",null,"Construction and evolution of code generators : a model-driven and service-oriented approach / / Sven Jorges"]
[null,null,"Pubbl/distr/stampa",null,"Berlin ; ; New York, : Springer, c2013"]
[null,null,"ISBN",null,"3-642-36126-9"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIV, 246 p. 75 illus.)"]
[null,null,"Collana",null,"Lecture notes in computer science, , 0302-9743 ; ; 7747"]
[{"$nulls":4},"LNCS sublibrary. SL 2, Programming and software engineering"]
[null,null,"Classificazione",null,"SS 4800"]
[null,null,"Disciplina",null,"005.4/5"]
[null,null,"Soggetti",null,"Code generators"]
[{"$nulls":4},"Generators (Computer programs)"]
[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","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"The state of the art in code generation -- Extreme model-driven development and jABC -- The Genesys framework -- Code generators for jABC -- Verification and validation of code generators -- Domain-specific code generators for EMF -- Service-oriented combination of code generation frameworks."]
[null,null,null,"Sommario/riassunto","Automatic code generation is an essential cornerstone of model-driven approaches to software development. Currently, lots of techniques are available that support the specification and implementation of code generators, such as engines based on templates or rule-based transformations. All those techniques have in common that code generators are either directly programmed or described by means of textual specifications. This monograph presents Genesys, a general approach, which advocates the graphical development of code generators for arbitrary source and target languages, on the basis of models and services. In particular, it is designed to support incremental language development on arbitrary metalevels. The use of models allows building code generators in a truly platform-independent and domain-specific way. Furthermore, models are amenable to formal verification methods such as model checking, which increase the reliability and robustness of the code generators. Services enable the reuse and integration of existing code generation frameworks and tools regardless of their complexity, and at the same time manifest as easy-to-use building blocks which facilitate agile development through quick interchangeability. Both, models and services, are reusable and thus "]
[{"$nulls":4},"form a growing repository for the fast creation and evolution of code generators."]
[null,"3.","Record Nr.",null,"UNINA9910755072503321"]
[null,null,"Autore",null,"Wilcox Rand R"]
[null,null,"Titolo",null,"A Guide to Robust Statistical Methods / / by Rand R. Wilcox"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031417139"]
[{"$nulls":4},"3031417135"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (335 pages)"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Sampling (Statistics)"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Applied Statistics"]
[{"$nulls":4},"Methodology of Data Collection and Processing"]
[{"$nulls":4},"Estadística matemàtica"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Introduction -- 2. The one-sample case -- 3. Comparing two independent groups -- 4. Comparing two dependent groups -- 5. Comparing multiple independent groups -- 6. Comparing multiple dependent groups -- 7. Robust regression estimators -- 8. Inferential methods based on robust regression estimators -- 9. Measures of association -- 10. Comparing groups when there is a covariate."]
[null,null,null,"Sommario/riassunto","Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a "]
[{"$nulls":4},"deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians."]