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The book is an introduction to modern probability theory written by one of the famous experts in this area. Readers will learn about the basic concepts of probability and its applications, preparing them for more advanced and specialized works.
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Probability theory arose originally in connection with games of chance and then for a long time it was used primarily to investigate the credibility of testimony of witnesses in the ¿ethical¿ sciences. Nevertheless, probability has become a very powerful mathematical tool in understanding those aspects of the world that cannot be described by deterministic laws. Probability has succeeded in ?nding strict determinate relationships where chance seemed to reign and so terming them ¿laws of chance¿ combining such contrasting - tions in the nomenclature appears to be quite justi?ed. This introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, some initial approaches to formalizing r- domness and it surveys certain problems that can be solved by probability theory. This will perhaps give one an idea to what extent the theory can - swer questions arising in speci?c random occurrences and the character of the answers provided by the theory. 1. 1 The Nature of Randomness The phrase ¿by chance¿ has no single meaning in ordinary language. For instance, it may mean unpremeditated, nonobligatory, unexpected, and so on. Its opposite sense is simpler: ¿not by chance¿ signi?es obliged to or bound to (happen). In philosophy, necessity counteracts randomness. Necessity signi?es conforming to law ¿ it can be expressed by an exact law. The basic laws of mechanics, physics and astronomy can be formulated in terms of precise quantitativerelationswhichmustholdwithironcladnecessity.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probability theory arose originally in connection with games of chance and then for a long time it was used primarily to investigate the credibility of testimony of witnesses in the 'ethical' sciences. Nevertheless, probability has become a very powerful mathematical tool in understanding those aspects of the world that cannot be described by deterministic laws. Probability has succeeded in nding strict determinate relationships where chance seemed to reign and so terming them 'laws of chance' combining such contrasting - tions in the nomenclature appears to be quite justi ed. This introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, some initial approaches to formalizing r- domness and it surveys certain problems that can be solved by probability theory. This will perhaps give one an idea to what extent the theory can - swer questions arising in speci c random occurrences and the character of the answers provided by the theory. 1. 1 The Nature of Randomness The phrase 'by chance' has no single meaning in ordinary language. For instance, it may mean unpremeditated, nonobligatory, unexpected, and so on. Its opposite sense is simpler: 'not by chance' signi es obliged to or bound to (happen). In philosophy, necessity counteracts randomness. Necessity signi es conforming to law - it can be expressed by an exact law. The basic laws of mechanics, physics and astronomy can be formulated in terms of precise quantitativerelationswhichmustholdwithironcladnecessity. 288 pp. Englisch. Codice articolo 9783540546863
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Condizione: New. Introductory book by famous authorThe book is an introduction to modern probability theory written by one of the famous experts in this area. Readers will learn about the basic concepts of probability and its applications, preparing them for m. Codice articolo 4893295
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probability theory arose originally in connection with games of chance and then for a long time it was used primarily to investigate the credibility of testimony of witnesses in the 'ethical' sciences. Nevertheless, probability has become a very powerful mathematical tool in understanding those aspects of the world that cannot be described by deterministic laws. Probability has succeeded in nding strict determinate relationships where chance seemed to reign and so terming them 'laws of chance' combining such contrasting - tions in the nomenclature appears to be quite justi ed. This introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, some initial approaches to formalizing r- domness and it surveys certain problems that can be solved by probability theory. This will perhaps give one an idea to what extent the theory can - swer questions arising in speci c random occurrences and the character of the answers provided by the theory. 1. 1 The Nature of Randomness The phrase 'by chance' has no single meaning in ordinary language. For instance, it may mean unpremeditated, nonobligatory, unexpected, and so on. Its opposite sense is simpler: 'not by chance' signi es obliged to or bound to (happen). In philosophy, necessity counteracts randomness. Necessity signi es conforming to law - it can be expressed by an exact law. The basic laws of mechanics, physics and astronomy can be formulated in terms of precise quantitativerelationswhichmustholdwithironcladnecessity. Codice articolo 9783540546863
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Probability theory arose originally in connection with games of chance and then for a long time it was used primarily to investigate the credibility of testimony of witnesses in the ¿ethical¿ sciences. Nevertheless, probability has become a very powerful mathematical tool in understanding those aspects of the world that cannot be described by deterministic laws. Probability has succeeded in nding strict determinate relationships where chance seemed to reign and so terming them ¿laws of chance¿ combining such contrasting - tions in the nomenclature appears to be quite justi ed. This introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, some initial approaches to formalizing r- domness and it surveys certain problems that can be solved by probability theory. This will perhaps give one an idea to what extent the theory can - swer questions arising in speci c random occurrences and the character of the answers provided by the theory. 1. 1 The Nature of Randomness The phrase ¿by chance¿ has no single meaning in ordinary language. For instance, it may mean unpremeditated, nonobligatory, unexpected, and so on. Its opposite sense is simpler: ¿not by chance¿ signi es obliged to or bound to (happen). In philosophy, necessity counteracts randomness. Necessity signi es conforming to law ¿ it can be expressed by an exact law. The basic laws of mechanics, physics and astronomy can be formulated in terms of precise quantitativerelationswhichmustholdwithironcladnecessity.Springer-V erlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch. Codice articolo 9783540546863
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