Wirtschaftswissenschaftler, Ingenieure und Informatiker benötigen heutzutage profunde Kenntnisse über Modelle und Methoden der angewandten Wahrscheinlichkeitstheorie und Statistik. Diese spielen eine entsche...
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ISBN:
(数字)9783642026676
Wirtschaftswissenschaftler, Ingenieure und Informatiker benötigen heutzutage profunde Kenntnisse über Modelle und Methoden der angewandten Wahrscheinlichkeitstheorie und Statistik. Diese spielen eine entscheidende Rolle für das Verständnis und die theoretische Analyse komplexer Systeme wie zum Beispiel den Finanzmärkten oder dem Datenverkehr im Internet. Die vorliegende Kompakteinführung stellt die in anwendungsorientierten Lehrveranstaltungen üblichen Themen in einer modernen Form dar, die sich insbesondere an Studienanfänger richtet. Ein ausführlicher mathematischer Anhang „Mathematik kompakt“ stellt die wichtigsten Ergebnisse aus Analysis und linearer Algebra zum effizienten und leichten Nachschlagen zur Verfügung.
This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers pre...
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ISBN:
(数字)9783030400149
ISBN:
(纸本)9783030400132
This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from 138 initial submissions.;Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.
The collation of large electronic databases of scienti?c and commercial infor- tion has led to a dramatic growth of interest in methods for discovering struc- res in such databases. These methods often go under the ge...
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ISBN:
(数字)9783540457282
ISBN:
(纸本)9783540441489
The collation of large electronic databases of scienti?c and commercial infor- tion has led to a dramatic growth of interest in methods for discovering struc- res in such databases. These methods often go under the general name of data mining. One important subdiscipline within data mining is concerned with the identi?cation and detection of anomalous, interesting, unusual, or valuable - cords or groups of records, which we call patterns. Familiar examples are the detection of fraud in credit-card transactions, of particular coincident purchases in supermarket transactions, of important nucleotide sequences in gene sequence analysis, and of characteristic traces in EEG records. Tools for the detection of such patterns have been developed within the data mining community, but also within other research communities, typically without an awareness that the - sic problem was common to many disciplines. This is not unreasonable: each of these disciplines has a large literature of its own, and a literature which is growing rapidly. Keeping up with any one of these is di?cult enough, let alone keeping up with others as well, which may in any case be couched in an - familiar technical language. But, of course, this means that opportunities are being lost, discoveries relating to the common problem made in one area are not transferred to the other area, and breakthroughs and problem solutions are being rediscovered, or not discovered for a long time, meaning that e?ort is being wasted and opportunities may be lost.
The pioneering study by Bowman [1980) reawakened interest in risk and return relations in the strategic management literature. We do not examine this literature here because we have elsewhere reviewed it in detail 1 a...
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ISBN:
(数字)9783642606632
ISBN:
(纸本)9783642644993
The pioneering study by Bowman [1980) reawakened interest in risk and return relations in the strategic management literature. We do not examine this literature here because we have elsewhere reviewed it in detail 1 and because, for the most part, these studies have been confined to ex post data. Discussions of the strategies which subjects used to direct their ex ante evaluations of risks and returns have either been omitted or else have been only indirectly inferred from ex post data. In addition, with few exceptions, this literature does not attempt to ascertain the meanings that might have been assigned by subjects to terms like "risk" and/or the "returns" with which they have been concerned. Even fewer of these studies have attempted to ascertain how the subjects implemented their definitions en of prospective strategies. Thus, tius literature may route to arriving at evaluations best be regarded as bearing only indirect relations to the present study which is concerned not only with the meanings assigned to terms like "risk" and "return" but also with how these terms are used in arriving at risk and return evaluations of proposed strategies as well as how they are measured and used, on an ex ante basis en route to seeing how these evaluations match with ex post performance. In a sense, one part of this study--i. e.
Privacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing social, political and economical demand of accurate information, and the legal and ethical o...
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ISBN:
(数字)9783540493327
ISBN:
(纸本)9783540493303
Privacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing social, political and economical demand of accurate information, and the legal and ethical obligation to protect the privacy of the individuals and enterprises to which statistical data refer. - yond law and ethics, there are also practical reasons for statistical agencies and data collectors to invest in this topic: if individual and corporate respondents feel their privacyguaranteed,they arelikelyto providemoreaccurateresponses. There are at least two traditions in statistical database privacy: one stems from o?cial statistics, where the discipline is also known as statistical disclosure control (SDC), and the other originates from computerscience and database ***1970s,butthe1980sandtheearly1990ssawlittle privacy activity on the computerscience side. The Internet era has strengthened the interest of both statisticians and computer scientists in this area. Along with the traditional topics of tabular and microdata protection, some research lines have revived and/or appeared, such as privacy in queryable databases and protocols for private data computation.
This book presents 8 tutorial lectures given by leading researchers at the 16th edition of the International School on Formal Methods for the Design of computer, Communication and Software Systems, SFM 2016, held in B...
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ISBN:
(数字)9783319340968
ISBN:
(纸本)9783319340951
This book presents 8 tutorial lectures given by leading researchers at the 16th edition of the International School on Formal Methods for the Design of computer, Communication and Software Systems, SFM 2016, held in Bertinoro, Italy, in June 2016.;SFM 2016 was devoted to the Quantitative Evaluation of Collective Adaptive Systems and covered topics such as self-organization in distributed systems, scalable quantitative analysis, spatio-temporal models, and aggregate programming.
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