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1. |
Record Nr. |
UNINA9910484799803321 |
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Autore |
Cerf Raphaël |
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Titolo |
The wulff crystal in ising and percolation models : Ecole d'Eté de Probabilités de Saint-Flour XXXIV - 2004 / / Raphaël Cerf, edited by Jean Picard |
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Pubbl/distr/stampa |
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Germany : , : Springer, , [2006] |
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©2006 |
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ISBN |
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1-280-61834-5 |
9786610618347 |
3-540-34806-9 |
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Edizione |
[1st ed. 2006.] |
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Descrizione fisica |
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1 online resource (266 p.) |
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Collana |
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École d'Été de Probabilités de Saint-Flour, , 0721-5363 ; ; 1878 |
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Disciplina |
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Soggetti |
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Phase transformations (Statistical physics) |
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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 and index. |
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Nota di contenuto |
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Phase coexistence and subadditivity -- Presentation of the models -- Ising model -- Bernoulli percolation -- FK or random cluster model -- Main results -- The Wulff crystal -- Large deviation principles -- Large deviation theory -- Surface large deviation principles -- Volume large deviations -- Fundamental probabilistic estimates -- Coarse graining -- Decoupling -- Surface tension -- Interface estimate -- Basic geometric tools -- Sets of finite perimeter -- Surface energy -- The Wulff theorem -- Final steps of the proofs -- LDP for the cluster shapes -- Enhanced upper bound -- LDP for FK percolation -- LDP for Ising. |
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Sommario/riassunto |
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This volume is a synopsis of recent works aiming at a mathematically rigorous justification of the phase coexistence phenomenon, starting from a microscopic model. It is intended to be self-contained. Those proofs that can be found only in research papers have been included, whereas results for which the proofs can be found in classical textbooks are only quoted. |
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2. |
Record Nr. |
UNINA9910815447903321 |
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Autore |
Nelson Gregory S. <1964-> |
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Titolo |
The analytics lifecycle toolkit : a practical guide for an effective analytics capability / / by Gregory S. Nelson |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , 2018 |
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©2018 |
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ISBN |
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1-119-42510-7 |
1-119-42509-3 |
1-119-42508-5 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (467 pages) |
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Collana |
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Wiley & SAS Business Series |
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Disciplina |
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Soggetti |
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Management - Statistical methods |
Management - Data processing |
Decision making - Data processing |
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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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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Analytics overview -- The people of analytics -- Organizational context for analytics -- Data strategy, platforms, and architecture -- The analytics lifecycle toolkit -- Problem framing -- Data sensemaking -- Analytic model development -- Results activation -- Analytics product management -- Actioning analytics -- Core competencies for analytic teams -- The future of analytics. |
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Sommario/riassunto |
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An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. |
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Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results. |
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