Basic probability theory applications (35 Ergebnisse)

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Sprache: Englisch
Verlag: Springer, 2009
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 3 von 32. Buch 3 von 32 - Springer Undergraduate Texts in Mathematics and Technology
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Sprache: Englisch
Verlag: Springer, 2009
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 3 von 32. Buch 3 von 32 - Springer Undergraduate Texts in Mathematics and Technology
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Sprache: Englisch
Verlag: Springer, 2012
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 3 von 32. Buch 3 von 32 - Springer Undergraduate Texts in Mathematics and Technology
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hardcover. Zustand: Gut. 287 Seiten; 9783540546863.3 Gewicht in Gramm: 1.

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Softcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 KHA 9780876201015 Sprache: Englisch Gewicht in…Gramm: 550.

Sprache: Englisch
Verlag: Springer Verlag, 2012
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 3 von 32. Buch 3 von 32 - Springer Undergraduate Texts in Mathematics and Technology
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Sprache: Englisch
Verlag: Springer New York, Springer US, 2012
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 3 von 32. Buch 3 von 32 - Springer Undergraduate Texts in Mathematics and Technology
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subjec…t is surely su cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie y mentioned. Courses on probability theory are often considered di cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de ciencies in basic di erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e ort was made to give the readers a good idea of the use in probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes' rule and elements of combinatorial analysis.

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Sprache: Englisch
Verlag: Springer, Copernicus, 2009
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 3 von 32. Buch 3 von 32 - Springer Undergraduate Texts in Mathematics and Technology
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subject is su…rely su cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie y mentioned. Courses on probability theory are often considered di cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de ciencies in basic di erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e ort was made to give the readers a good idea of the use in probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes' rule and elements of combinatorial analysis.

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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | 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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Taschenbuch. Zustand: Neu. Basic Principles and Applications of Probability Theory | Valeriy Skorokhod | Taschenbuch | v | Englisch | 2010 | Springer | EAN 9783642081217 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Zustand: 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 powe…rful 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. Zustand: 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 ma…thematical 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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Zustand: gut. A Basic Course in Measure and Probability: Theory For Applications In englischer Sprache. pages.