Copulas are functions that join multivariate distribution functions to their one-dimensional margins.The study of copulas and their role in statistics is a new but vigorously growing fiel… Mehr…
Copulas are functions that join multivariate distribution functions to their one-dimensional margins.The study of copulas and their role in statistics is a new but vigorously growing field.In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications.The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study.The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful.Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon.He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Springer New York<
hive.co.uk
No. 9781475730760. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten. Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
eBooks, eBook Download (PDF), Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a … Mehr…
eBooks, eBook Download (PDF), Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "e;Proofs Without Words: Exercises in Visual Thinking,"e; published by the Mathematical Association of America. [PU: Springer New York], Springer New York, 2013<
Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing fie… Mehr…
Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America. Books > Statistics eBook, Springer Shop<
Springer.com
new in stock. Versandkosten:zzgl. Versandkosten. (EUR 0.00) Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Copulas are functions that join multivariate distribution functions to their one-dimensional margins.The study of copulas and their role in statistics is a new but vigorously growing fiel… Mehr…
Copulas are functions that join multivariate distribution functions to their one-dimensional margins.The study of copulas and their role in statistics is a new but vigorously growing field.In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications.The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study.The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful.Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon.He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Springer New York<
No. 9781475730760. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
eBooks, eBook Download (PDF), Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a … Mehr…
eBooks, eBook Download (PDF), Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "e;Proofs Without Words: Exercises in Visual Thinking,"e; published by the Mathematical Association of America. [PU: Springer New York], Springer New York, 2013<
Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing fie… Mehr…
Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America. Books > Statistics eBook, Springer Shop<
new in stock. Versandkosten:zzgl. Versandkosten. (EUR 0.00)
1Da einige Plattformen keine Versandkonditionen übermitteln und diese vom Lieferland, dem Einkaufspreis, dem Gewicht und der Größe des Artikels, einer möglichen Mitgliedschaft der Plattform, einer direkten Lieferung durch die Plattform oder über einen Drittanbieter (Marketplace), etc. abhängig sein können, ist es möglich, dass die von eurobuch angegebenen Versandkosten nicht mit denen der anbietenden Plattform übereinstimmen.
EAN (ISBN-13): 9781475730760 Erscheinungsjahr: 2013 Herausgeber: Springer New York
Buch in der Datenbank seit 2016-01-14T23:21:50+01:00 (Berlin) Detailseite zuletzt geändert am 2022-12-11T16:18:23+01:00 (Berlin) ISBN/EAN: 9781475730760
ISBN - alternative Schreibweisen: 978-1-4757-3076-0 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: roger nelsen, nelsen nels, segal, lang serge Titel des Buches: introduction copulas
Daten vom Verlag:
Autor/in: Roger B. Nelsen Titel: Lecture Notes in Statistics; An Introduction to Copulas Verlag: Springer; Springer US 218 Seiten Erscheinungsjahr: 2013-03-09 New York; NY; US Sprache: Englisch 85,59 € (DE) 88,00 € (AT) 106,50 CHF (CH) Available XI, 218 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Parametric statistics; mathematical statistics; mathematics; probability; statistics; quantitative finance; C; Statistical Theory and Methods; Mathematics in Business, Economics and Finance; Mathematics and Statistics; Angewandte Mathematik; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; BC
1 Introduction.- 2 Definitions and Basic Properties.- 3 Methods of Constructing Copulas 4.- 4 Archimedean Copulas.- 5 Dependence.- 6 Additional Topics.- References.- List of Symbols. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions.
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
