 |
ISBN
| 9781441923226 | |
DDC
| 519.5 | |
Tác giả CN
| Wasserman, Larry | |
Nhan đề
| All of statistics : A concise course in statistical inference / Larry Wasserman | |
Thông tin xuất bản
| New Your : Springer, 2004 | |
Mô tả vật lý
| 441 p. ; cm. | |
Phụ chú
| Springer texts in statistics | |
Tóm tắt
| "This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining, and machine learning." "This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate levels." | |
Từ khóa tự do
| Mathematical statistics | |
Từ khóa tự do
| Statistics as Topic
| |
Từ khóa tự do
| Statistiek | |
Khoa
| Khoa Cơ bản | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
| |
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| 245 | |aAll of statistics : |bA concise course in statistical inference / |cLarry Wasserman |
|---|
| 260 | |aNew Your : |bSpringer, |c2004 |
|---|
| 300 | |a441 p. ; |ccm. |
|---|
| 500 | |aSpringer texts in statistics |
|---|
| 520 | |a"This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining, and machine learning." "This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate levels." |
|---|
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| 653 | |aMathematical statistics |
|---|
| 653 | |aStatistics as Topic
|
|---|
| 653 | |aStatistiek |
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