L'édition de cet ISBN n'est malheureusement plus disponible.
Afficher les exemplaires de cette édition ISBNLes informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Based on the authors’ lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It illustrates core concepts using cartoons and provides solutions to all examples and problems.
Highlights
The book is aimed at advanced undergraduate students, graduate students in mathematics and statistics, and theoretically-interested students from other disciplines. Results are presented as theorems and corollaries. All theorems are proven and important statements are formulated as guidelines in prose. With its multipronged and student-tested approach, this book is an excellent introduction to the theory of statistical inference.
Hannelore Liero is an apl. Prof. for Mathematical Statistics at the University of Potsdam. She studied Mathematics at the Humboldt-University in Berlin. She earned her Ph.D. while working as a scientist at the Academy of Sciences of the GDR. Since 1992, she has taught Statistics for undergraduate and graduate students in Mathematics, Biology and Computer Science at the Faculty of Sciences at the University of Potsdam. In addition to teaching, she does basic research in Statistics and supports scientists applying statistical methods in practice.
Silvelyn Zwanzig is an Associate Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt-University in Berlin. Before coming to Sweden she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. Since 1991, she has taught Statistics for undergraduate and graduate students. Her research interests have moved from theoretical statistics to computer intensive statistics. She is interested in consulting and was working in Astrometry.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Frais de port :
Gratuit
Vers Etats-Unis
Description du livre PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9781439852927
Description du livre paperback. Etat : New. Language: ENG. N° de réf. du vendeur 9781439852927
Description du livre Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. N° de réf. du vendeur B9781439852927
Description du livre Paperback. Etat : Brand New. 1st edition. 284 pages. 9.50x6.25x0.75 inches. In Stock. N° de réf. du vendeur __1439852928
Description du livre Etat : New. 2011. 1st Edition. Paperback. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 284 pages, 40 black & white illustrations, 8 black & white tables. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 179 x 14. Weight in Grams: 438. . . . . . N° de réf. du vendeur V9781439852927
Description du livre Etat : New. Book is in NEW condition. N° de réf. du vendeur 1439852928-2-1
Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published. N° de réf. du vendeur 353-1439852928-new
Description du livre PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9781439852927
Description du livre Taschenbuch. Etat : Neu. Neuware - Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems. N° de réf. du vendeur 9781439852927
Description du livre Etat : New. 2011. 1st Edition. Paperback. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 284 pages, 40 black & white illustrations, 8 black & white tables. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 179 x 14. Weight in Grams: 438. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781439852927