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[null,"1.","Record Nr.",null,"UNINA9910741143303321"]
[null,null,"Autore",null,"Sin Kwang-yong"]
[null,null,"Titolo",null,"The executor of integrated marketing communications strategy : Marcom manager's working model / / Kwang-Yong Shin"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Springer, 2013"]
[null,null,"ISBN",null,"3-642-38091-3"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (150 p.)"]
[null,null,"Collana",null,"Springer briefs in business"]
[null,null,"Disciplina",null,"658.8"]
[null,null,"Soggetti",null,"Marketing - Communication systems"]
[{"$nulls":4},"Communication models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Introduction -- Organization -- Implementation -- Marcom Manager’s Work: Communication Category -- The Working Model of Marcom Manager."]
[null,null,null,"Sommario/riassunto","The book mainly addresses the following aspects: First, it systematically introduces the domestic and foreign research results, pointing out the key elements of the basic theory of IMC, according to a company’s present situation and the practice of IMC strategy. Second, according to the different characteristics of each organization, it provides various IMC organization structures, such as linear structure Model l, a virtual network and centralized type that focuses on individual interest, external types of the IMC organizational structures Model, etc., and suggestions for further study are also presented."]
[null,"2.","Record Nr.",null,"UNIORUON00523088"]
[null,null,"Autore",null,"Trendafilov, Nickolay"]
[null,null,"Titolo",null,"Multivariate data analysis on matrix manifolds (with Manopt) / Nickolay Trendafilov, Michele Gallo"]
[null,null,"Pubbl/distr/stampa",null,"Cham ( (CH), : Springer, 2021"]
[null,null,"ISBN",null,"978-30-307-6976-5"]
[null,null,"Descrizione fisica",null,"XX, 450 p. ; 23 cm."]
[null,null,"Disciplina",null,"310"]
[null,null,"Soggetti",null,"Analisi multivariata - Metodi"]
[{"$nulls":4},"Analisi statistica multivariata"]
[{"$nulls":4},"Statistica matematica"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number ofexercises complement the main text with additional information and occasionally involve open and/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization."]