Verwandte Artikel zu A Course in Mathematical Statistics and Large Sample...
A Course in Mathematical Statistics and Large Sample Theory (Springer Texts in Statistics) - Hardcover
Inhaltsangabe
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.
Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics - parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Rabi Bhattacharya, PhD, has held regular faculty positions at UC, Berkeley; Indiana University; and the University of Arizona. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the U.S. Senior Scientist Humboldt Award and of a Guggenheim Fellowship. He has served on editorial boards of many international journals and has published several research monographs and graduate texts on probability and statistics, including Nonparametric Inference on Manifolds, co-authored with A. Bhattacharya.
Lizhen Lin, PhD, is Assistant Professor in the Department of Statistics and Data Science at the University of Texas at Austin. She received a PhD in Mathematics from the University of Arizona and was a Postdoctoral Associate at Duke University. Bayesian nonparametrics, shape constrained inference, and nonparametric inference on manifolds are among her areas of expertise.
Vic Patrangenaru, PhD, is Professor of Statistics at Florida State University. He received PhDs in Mathematics from Haifa, Israel, and from Indiana University in the fields of differential geometry and statistics, respectively. He has many research publications on Riemannian geometry and especially on statistics on manifolds. He is a co-author with L. Ellingson of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis.
Von der hinteren Coverseite
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.
- Large Sample theory with many worked examples, numerical calculations, and simulations to illustrate theory
- Appendices provide ready access to a number of standard results, with many proofs
- Solutions given to a number of selected exercises from Part I
- Part II exercises with a certain level of difficulty appear with detailed hints
Rabi Bhattacharya, PhD,has held regular faculty positions at UC, Berkeley; Indiana University; and the University of Arizona. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the U.S. Senior Scientist Humboldt Award and of a Guggenheim Fellowship. He has served on editorial boards of many international journals and has published several research monographs and graduate texts on probability and statistics, including Nonparametric Inference on Manifolds, co-authored with A. Bhattacharya.
Lizhen Lin, PhD, is Assistant Professor in the Department of Statistics and Data Science at the University of Texas at Austin. She received a PhD in Mathematics from the University of Arizona and was a Postdoctoral Associate at Duke University. Bayesian nonparametrics, shape constrained inference, and nonparametric inference on manifolds are among her areas of expertise.
Vic Patrangenaru, PhD, is Professor of Statistics at Florida State University. He received PhDs in Mathematics from Haifa, Israel, and from Indiana University in the fields of differential geometry and statistics, respectively. He has many research publications on Riemannian geometry and especially on statistics on manifolds. He is a co-author with L. Ellingson of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 35,20
EUR 11,58 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für A Course in Mathematical Statistics and Large Sample...
Beispielbild für diese ISBN
A Course in Mathematical Statistics and Large Sample Theory
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Brand New. 400 pages. 10.00x7.00x1.00 inches. In Stock. Artikel-Nr. 1493940309
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
A Course in Mathematical Statistics and Large Sample Theory (Springer Texts in Statistics)
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. pp. 416. Artikel-Nr. 371335348
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
COURSE IN MATHEMATICAL STATISTICS & LARG
Anbieter: Speedyhen, London, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: NEW. Artikel-Nr. NW9781493940301
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
A Course in Mathematical Statistics and Large Sample Theory
Verlag:
Springer-Verlag New York Inc., 2016
ISBN 10: 1493940309
ISBN 13: 9781493940301
Neu
Hardcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. GB-9781493940301
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
A Course in Mathematical Statistics and Large Sample Theory
Verlag:
Springer-Verlag New York Inc., 2016
ISBN 10: 1493940309
ISBN 13: 9781493940301
Neu
Hardcover
Anbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. GB-9781493940301
Anzahl: 1 verfügbar
Foto des Verkäufers
A Course in Mathematical Statistics and Large Sample Theory
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Gebunden. Zustand: New. Large Sample Theory with many worked examples, numerical calculations, and simulations to illustrate theoryAppendices provide ready access to a number of standard results, with many proofsSolutions given to a number of selected exercises fr. Artikel-Nr. 119646607
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
A Course in Mathematical Statistics and Large Sample Theory (Springer Texts in Statistics)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9781493940301_new
Anzahl: 1 verfügbar
Foto des Verkäufers
A Course in Mathematical Statistics and Large Sample Theory
Verlag:
Springer New York, Springer US Aug 2016, 2016
ISBN 10: 1493940309
ISBN 13: 9781493940301
Neu
Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware -This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch. Artikel-Nr. 9781493940301
Anzahl: 2 verfügbar
Foto des Verkäufers
A Course in Mathematical Statistics and Large Sample Theory
Verlag:
Springer New York, Springer New York, 2016
ISBN 10: 1493940309
ISBN 13: 9781493940301
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics - parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods. Artikel-Nr. 9781493940301
Anzahl: 3 verfügbar