probability theory examples problems (29 Ergebnisse)

Paperback. Zustand: New. A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given. Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: new. Paperback. A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given. Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: New. A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given. Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: new. Paperback. A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given. Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: Brand New. 320 pages. 9.00x6.00x1.00 inches. In Stock.

Softcover. Zustand: gut. "Das Buch bietet eine Einführung in die wichtigsten Methoden der Wahrscheinlichkeitsrechnung und des statistischen Schließens. Die Darstellung zielt auf klare Begriffe, nachvollziehbare Verfahren und Motivation aus den Wirtschaftswissenschaften. Sie enthält zahlreiche durchgerechnete Beispiele, auch mit realen Daten. Hinweise zur Durchführung der Verfahren am Computer mit Excel® und SPSS® ergänzen den Text. Das Lehrbuch richtet sich an Studierende insbesondere der Wirtschafts- und Sozialwissenschaften im Grundstudium / Bachelorstudium. From the reviews: "The book provides a clear introduction into the fundamentals of probability theory and statistics. is based on several lecture courses which were held for students of economy and social sciences. It is well written and contains many calculated examples, often motivated by problems from economy and the social sciences. Additional exercises can be downloaded from a website of the authors." Inhalt: Einführung.- Zufallsvorgänge und Wahrscheinlichkeiten.- Zufallsvariable und Verteilungen.- Gemeinsame Verteilung und Grenzwertsätze.- Stichproben und Stichprobenfunktionen.- Schätzverfahren für Parameter.- Hypothesentests.- Lineare Regression. Über den Autor: Karl Mosler hat seine statistische und mathematische Ausbildung in Heidelberg und München erhalten. Er hat Statistik und Operations Research an wirtschaftswissenschaftlichen Fakultäten, u.a. in Hamburg und Frankfurt/O. gelehrt. Seit 1995 ist er Professor für Statistik und Ökonomie an der Universität zu Köln. Friedrich Schmid hat an der Universität München Mathematik und Statistik studiert. Von 1982 bis 1992 war er Professor für Statistik an der Universität Hamburg. 1992 wechselte er an die Universität zu Köln in seine jetzige Position als Professor für Wirtschafts- und Sozialstatistik. Inhaltsverzeichnis von "Wahrscheinlichkeitsrechnung und schließende Statistik": Einführung Zufallsvorgänge und Wahrscheinlichkeiten.- Zufallsvariable und Verteilungen.- Gemeinsame Verteilung und Grenzwertsätze.- Stichproben und Stichprobenfunktionen.- Schätzverfahren für Parameter Hypothesentests.- Lineare Regression.- Tabellenanhang.- Literaturverzeichnis.- Index. Wirtschaft Wirtschaftswissenschaften Wirtschaftslehre Volkswirtschaftslehre VWL BWL Betriebswirtschaftslehre Induktive Statistik schließende Statistik Statistische Inferenz Wahrscheinlichkeitsrechnung Induktive Statistik schließende Statistik Statistische Inferenz Wahrscheinlichkeitsrechnung Stochastik Wirtschaft Wirtschaftswissenschaften Wirtschaftslehre Volkswirtschaftslehre VWL BWL Betriebswirtschaftslehre Sprache deutsch Maße 155 x 235 mm Einbandart Paperback Mathematik Informatik Mathe Wirtschaft Lexika Induktive Statistik schließende Statistik Statistische Inferenz Wahrscheinlichkeitsrechnung ISBN-10 3-540-77858-6 / 3540778586 ISBN-13 978-3-540-77858-5 / 9783540778585" In deutscher Sprache. 347 pages. 1,9 x 23 x 15,3 cm Auflage: 3., verb. Aufl. (26. März 2008).

Softcover. Zustand: gut. Auflage: 1 (9. Oktober 2003). "Das Buch bietet eine Einführung in die wichtigsten Methoden der Wahrscheinlichkeitsrechnung und des statistischen Schließens. Die Darstellung zielt auf klare Begriffe, nachvollziehbare Verfahren und Motivation aus den Wirtschaftswissenschaften. Sie enthält zahlreiche durchgerechnete Beispiele, auch mit realen Daten. Hinweise zur Durchführung der Verfahren am Computer mit Excel® und SPSS® ergänzen den Text. Das Lehrbuch richtet sich an Studierende insbesondere der Wirtschafts- und Sozialwissenschaften im Grundstudium / Bachelorstudium. From the reviews: "The book provides a clear introduction into the fundamentals of probability theory and statistics. is based on several lecture courses which were held for students of economy and social sciences. It is well written and contains many calculated examples, often motivated by problems from economy and the social sciences. Additional exercises can be downloaded from a website of the authors." Über den Autor: Karl Mosler hat seine statistische und mathematische Ausbildung in Heidelberg und München erhalten. Er hat Statistik und Operations Research an wirtschaftswissenschaftlichen Fakultäten, u.a. in Hamburg und Frankfurt/O. gelehrt. Seit 1995 ist er Professor für Statistik und Ökonomie an der Universität zu Köln. Friedrich Schmid hat an der Universität München Mathematik und Statistik studiert. Von 1982 bis 1992 war er Professor für Statistik an der Universität Hamburg. 1992 wechselte er an die Universität zu Köln in seine jetzige Position als Professor für Wirtschafts- und Sozialstatistik. Inhaltsverzeichnis von "Wahrscheinlichkeitsrechnung und schließende Statistik": Einführung Zufallsvorgänge und Wahrscheinlichkeiten.- Zufallsvariable und Verteilungen.- Gemeinsame Verteilung und Grenzwertsätze.- Stichproben und Stichprobenfunktionen.- Schätzverfahren für Parameter Hypothesentests.- Lineare Regression.- Tabellenanhang.- Literaturverzeichnis.- Index. Wirtschaft Wirtschaftswissenschaften Wirtschaftslehre Volkswirtschaftslehre VWL BWL Betriebswirtschaftslehre Induktive Statistik schließende Statistik Statistische Inferenz Wahrscheinlichkeitsrechnung Wahrscheinlichkeitsrechnung und schließende Statistik von Karl Mosler Induktive Statistik schließende Statistik Statistische Inferenz Wahrscheinlichkeitsrechnung Stochastik Wirtschaft Wirtschaftswissenschaften Wirtschaftslehre Volkswirtschaftslehre VWL BWL Betriebswirtschaftslehre ISBN-10 3-540-00970-1 / 3540009701 ISBN-13 978-3-540-00970-2 / 9783540009702" In deutscher Sprache. 347 pages. 23,4 x 15,6 x 2,2 cm.

Hardcover. Zustand: Good. M. ICNMO 2007. Contact us for details or to request photos of available books. Delivery of this book could take longer than normal due to additional handling time before shipping, and no rush delivery options are available. Please let us know if you have a specific date by which you need to receive your order.SKUalb835530e1d7d32be2.

Taschenbuch. Zustand: Neu. PROBABILITY | THEORY, EXAMPLES, PROBLEMS, SIMULATIONS : EXAMPLES | Lisei Hannelore | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | World Scientific | EAN 9789811207198 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given.Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.

Buch. Zustand: Neu. PROBABILITY | THEORY, EXAMPLES, PROBLEMS, SIMULATIONS : EXAMPLES | Lisei Hannelore | Buch | Gebunden | Englisch | 2020 | World Scientific | EAN 9789811205736 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given.Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.