Produkt
KlappentextThis book contains a little more than 20 of Debabrata Basu's most significant articles and writings. Debabrata Basu is internationally known for his highly influential and fundamental contributions to the foundations of statistics, survey sampling, sufficiency, and invariance. The major theorem bearing his name has had numerous applications to statistics and probability. The articles in this volume are reprints of the original articles, in a chronological order. The book also contains eleven commentaries written by some of the most distinguished scholars in the area of foundations and statistical inference. These commentaries are by George Casella and V. Gopal, Phil Dawid, Tom DiCiccio and Alastair Young, Malay Ghosh, Jay kadane, Glen Meeden, Robert Serfling, Jayaram Sethuraman, Terry Speed, and Alan Welsh.
Anirban DasGupta is Professor of Statistics at Purdue University. He is an Associate Editor of the Annals of Statistics, Statistics Surveys, and Metrika. He has also served in the editorial boards of the Journal of American Statistical Association, International Statistical Review, Journal of Statistical Planning and Inference, and Sankhya. He is the author of Springer's Asymptotic Theory of Statistics and Probability and of Fundamentals of Probability, A First Course. He is a Fellow of the Institute of Mathematical Statistics and is the author of 105 articles.
Anirban DasGupta is Professor of Statistics at Purdue University. He is an Associate Editor of the Annals of Statistics, Statistics Surveys, and Metrika. He has also served in the editorial boards of the Journal of American Statistical Association, International Statistical Review, Journal of Statistical Planning and Inference, and Sankhya. He is the author of Springer's Asymptotic Theory of Statistics and Probability and of Fundamentals of Probability, A First Course. He is a Fellow of the Institute of Mathematical Statistics and is the author of 105 articles.
Details
Weitere ISBN/GTIN9781441958259
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Verlag
Erscheinungsjahr2011
Erscheinungsdatum04.02.2011
Auflage2011
Seiten401 Seiten
SpracheEnglisch
IllustrationenXXVIII, 398 p.
Artikel-Nr.1716610
Rubriken
Genre9200